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default {\n css: `\n:host,.d2site{\n --worm:linear-gradient(90deg,#9b5cff,#5b86ff,#4ddfe6,#4de0a1,#84e05a,#e8e84d,#ff6a4d,#ff4d9e,#ff6a4d,#e8e84d,#84e05a,#4de0a1,#4ddfe6,#5b86ff,#9b5cff);\n --worm-mesh:linear-gradient(125deg,#9b5cff,#5b86ff,#4ddfe6,#4de0a1,#84e05a,#e8e84d,#ff6a4d,#ff4d9e,#ff6a4d,#e8e84d,#84e05a,#4de0a1,#4ddfe6,#5b86ff,#9b5cff);\n --tile:2400px;\n --bg:#000; --panel:#0b0b0d; --panel2:#101013; --raise:#17171b;\n --line:rgba(255,255,255,.09); --line2:rgba(255,255,255,.055);\n --ink:#f2f2f5; --mut:#8a8a93; --faint:#55555e;\n --blue:#3a7bff; --blue-soft:rgba(58,123,255,.16);\n --ok:#4de0a1; --warn:#e8e84d; --bad:#ff6a4d;\n --sans:\"Helvetica Neue\",Helvetica,Arial,\"PingFang SC\",\"Hiragino Sans GB\",\"Microsoft YaHei\",\"Noto Sans CJK SC\",\"Noto Sans SC\",system-ui,sans-serif;\n --mono:ui-monospace,\"SF Mono\",Menlo,Consolas,monospace;\n --out:cubic-bezier(.22,1,.36,1); --soft:cubic-bezier(.4,0,.2,1); --spring:cubic-bezier(.34,1.4,.5,1);\n --hue:#5b86ff;\n}\n*{box-sizing:border-box;margin:0;padding:0}\n.d2site{position:relative;height:100%;overflow-y:auto;overflow-x:hidden;background:var(--bg);color:var(--ink);\n font-family:var(--sans);-webkit-font-smoothing:antialiased;line-height:1.55;scroll-behavior:smooth;scroll-snap-type:y proximity;scroll-padding-top:66px}\n.d2site a{color:inherit;text-decoration:none}\n.d2site ::selection{background:var(--blue);color:#fff}\n@keyframes flow{to{background-position:var(--tile) 0}}\n@keyframes drift{0%{background-position:0% 30%}100%{background-position:100% 70%}}\n@keyframes spin{to{transform:rotate(360deg)}}\n@keyframes orbglow{0%,100%{box-shadow:0 0 14px currentColor,inset 0 2px 6px rgba(255,255,255,.32)}50%{box-shadow:0 0 30px currentColor,inset 0 2px 6px rgba(255,255,255,.44)}}\n.mark{font-weight:500;letter-spacing:-.015em;line-height:1;font-family:var(--sans);display:inline-flex;align-items:center}\n.logo{display:block;width:auto;height:24px}\n.logo use{fill:#fff}\n.mark sup{font-size:.46em;font-weight:500;vertical-align:super;margin-left:.5px}\nheader.nav{position:sticky;top:0;z-index:50;display:flex;align-items:center;justify-content:space-between;\n padding:20px 40px;transition:background .4s var(--soft),backdrop-filter .4s,border-color .4s;border-bottom:1px solid transparent}\nheader.nav.scrolled{background:rgba(6,6,8,.72);backdrop-filter:blur(16px);-webkit-backdrop-filter:blur(16px);border-bottom:1px solid var(--line)}\nheader.nav .mark{font-size:26px}\n.navlinks{display:flex;align-items:center;gap:28px;font-size:14px}\n.navlinks a{color:rgba(255,255,255,.82);transition:color .2s}\n.navlinks a:hover{color:#fff}\n.navctl{display:flex;align-items:center;gap:14px}\n.lang{display:inline-flex;border:1px solid var(--line);border-radius:999px;overflow:hidden;font-family:var(--mono);font-size:11px}\n.lang button{background:none;border:0;color:var(--mut);cursor:pointer;padding:6px 11px;font:inherit;letter-spacing:.06em;transition:.25s var(--soft)}\n.lang button.on{background:var(--blue);color:#fff}\n.signin{border:1px solid var(--line);border-radius:999px;padding:8px 18px;font-size:13px;color:#fff;transition:.3s var(--out)}\n.signin:hover{border-color:var(--blue);box-shadow:0 0 0 3px var(--blue-soft)}\n.burger{display:none;background:none;border:0;cursor:pointer;flex-direction:column;gap:5px;padding:6px}\n.burger span{width:22px;height:2px;background:#fff;border-radius:2px}\n.btn{position:relative;display:inline-flex;align-items:center;gap:9px;overflow:hidden;border:0;cursor:pointer;font:inherit;font-weight:600;color:#08080a;padding:15px 30px;border-radius:999px;background:var(--worm);background-size:var(--tile) 100%;animation:flow 20s linear infinite;box-shadow:inset 0 1.5px 0 rgba(255,255,255,.5),inset 0 -4px 9px rgba(0,0,0,.16),0 8px 26px rgba(0,0,0,.45);transition:transform .42s var(--spring),box-shadow .3s var(--soft),filter .4s}\n.btn:hover{transform:translateY(-2px);filter:saturate(1.06) brightness(1.03);box-shadow:inset 0 1.5px 0 rgba(255,255,255,.55),inset 0 -4px 9px rgba(0,0,0,.16),0 16px 40px rgba(155,92,255,.32)}\n.btn:active{transform:translateY(0) scale(.96)}\n.btn.ghost{background:transparent;color:var(--ink);box-shadow:inset 0 0 0 1.5px var(--line);animation:none}\n.btn.ghost:hover{box-shadow:inset 0 0 0 1.5px var(--blue),0 0 0 3px var(--blue-soft);filter:none}\nsection{position:relative;padding:clamp(80px,11vh,150px) 40px;min-height:100vh;display:flex;flex-direction:column;justify-content:center}\n#essence,#levers,#deliver{background:rgba(255,255,255,.014)}\n.wrap{width:100%;max-width:1200px;margin:0 auto}\n.sec-t{font-size:clamp(30px,4.6vw,58px);font-weight:800;letter-spacing:-.02em;line-height:1.04;margin-top:14px;text-wrap:balance}\n.sec-sub{color:var(--mut);font-size:17px;line-height:1.55;margin-top:16px;max-width:60ch}\n.eyebrow{font-family:var(--mono);font-size:12px;letter-spacing:.24em;text-transform:uppercase;color:var(--faint)}\n.reveal{opacity:0;transform:translateY(24px);transition:opacity .8s var(--out),transform .8s var(--out)}\n.reveal.in{opacity:1;transform:none}\n#hero{padding:0;min-height:calc(100vh - 66px);overflow:hidden;scroll-snap-align:start;background:#000}\n#hero .herofx{position:absolute;inset:0;width:100%;height:100%;z-index:0;display:block}\n#hero .corner{position:absolute;inset:0;pointer-events:none;background:radial-gradient(46% 42% at -2% -4%,rgba(255,90,210,.55),transparent 62%)}\n#hero .vig{position:absolute;inset:0;pointer-events:none;background:radial-gradient(140% 110% at 50% 20%,transparent 38%,rgba(4,8,7,.72) 100%)}\n#hero .inner{position:relative;z-index:2;min-height:calc(100vh - 66px);display:flex;flex-direction:column;align-items:center;justify-content:center;text-align:center;padding:80px 40px 90px}\n.h1{font-size:clamp(34px,5vw,74px);line-height:1.02;font-weight:760;letter-spacing:-.025em;text-transform:none;text-wrap:balance;text-shadow:0 2px 40px rgba(0,0,0,.35)}\n.hero-kicker{font-family:var(--mono);font-size:clamp(11px,1.25vw,13px);letter-spacing:.22em;text-transform:uppercase;color:rgba(255,255,255,.62);margin-bottom:26px;font-weight:500}\n#hero .sub{margin-top:30px;max-width:640px;font-size:clamp(16px,2vw,21px);line-height:1.5;color:rgba(255,255,255,.94);font-weight:400;text-wrap:balance}\n#hero .cta{margin-top:44px;display:flex;gap:14px;flex-wrap:wrap;justify-content:center;align-items:center}\n#hero .cta .btn{color:#0a0a0c}\n#hero .cta .btn:not(.ghost){padding:17px 36px;font-size:16px;font-weight:700}\n#hero .cta .btn.ghost{padding:14px 26px;opacity:.9}\n#hero .cta .btn.ghost{color:#fff;box-shadow:inset 0 0 0 1.5px rgba(255,255,255,.5)}\n#hero .cta .btn.ghost:hover{box-shadow:inset 0 0 0 1.5px #fff}\n.herostrip{margin-top:52px;display:flex;flex-direction:column;align-items:center;gap:16px;width:100%;max-width:820px}\n.hs-clients{display:flex;flex-wrap:wrap;align-items:center;justify-content:center;gap:8px 14px;font-size:14px}\n.hs-clients .hs-lead{font-family:var(--mono);font-size:11px;letter-spacing:.14em;text-transform:uppercase;color:var(--faint)}\n.hs-clients .hs-logos{font-weight:600;color:rgba(255,255,255,.72)}\n.hs-steps{display:flex;flex-wrap:wrap;align-items:center;justify-content:center;gap:10px 16px;font-size:13px;color:var(--mut)}\n.hs-step b{color:#fff;font-weight:700}\n.hs-arrow{color:var(--blue)}\n@media(max-width:600px){.herostrip{margin-top:34px}.hs-steps{font-size:12px}}\n.credit{position:absolute;right:40px;bottom:34px;z-index:2;width:280px;text-align:right;background:rgba(6,10,9,.5);backdrop-filter:blur(8px);-webkit-backdrop-filter:blur(8px);border:1px solid rgba(255,255,255,.08);border-radius:10px;padding:12px 15px}\n.credit b{font-size:10px;font-weight:700;display:block;margin-bottom:4px;letter-spacing:.02em}\n.credit p{font-size:10px;line-height:1.5;color:rgba(255,255,255,.72)}\n.scrollcue{position:absolute;left:50%;bottom:30px;z-index:2;transform:translateX(-50%);font-family:var(--mono);font-size:10px;letter-spacing:.22em;color:rgba(255,255,255,.7);text-transform:uppercase;display:flex;flex-direction:column;align-items:center;gap:8px}\n.scrollcue i{width:1px;height:34px;background:linear-gradient(rgba(255,255,255,.8),transparent);display:block}\n#essence{border-bottom:1px solid var(--line)}\n.triad{display:grid;grid-template-columns:repeat(3,1fr);gap:20px;margin-top:46px}\n.tri{border:1px solid var(--line);border-radius:18px;background:var(--panel);padding:32px 30px;display:flex;flex-direction:column;transition:transform .45s var(--spring),box-shadow .4s,border-color .4s}\n.tri:hover{transform:translateY(-3px);box-shadow:0 22px 60px rgba(0,0,0,.5);border-color:rgba(255,255,255,.16)}\n.tri .accent{height:6px;width:56px;border-radius:999px;background:var(--worm);background-size:var(--tile) 100%;animation:flow 15s linear infinite;margin-bottom:22px}\n.tri .q{font-family:var(--mono);font-size:12px;letter-spacing:.2em;text-transform:uppercase;color:var(--faint);margin-bottom:12px}\n.tri h3{font-size:clamp(21px,2.3vw,28px);font-weight:800;letter-spacing:-.01em;line-height:1.08;margin-bottom:14px;text-wrap:balance}\n.tri p{color:var(--mut);font-size:15.5px;line-height:1.55}\n.tri em{font-style:normal;background:var(--worm);background-size:var(--tile) 100%;-webkit-background-clip:text;background-clip:text;color:transparent;animation:flow 15s linear infinite}\n.tri .foot{margin-top:auto;padding-top:22px}\n.tri .foot .prod-row{gap:8px}\n.tri .foot .chip{padding:5px 10px;font-size:10.5px}\n.tri .inames{display:flex;flex-wrap:wrap;gap:8px 12px;margin-top:auto;padding-top:22px;font-size:14px;color:var(--ink);font-weight:500}\n.baband{display:grid;grid-template-columns:1fr auto 1fr;gap:28px;align-items:center;margin-top:22px;border:1px solid var(--line);border-radius:20px;background:var(--panel2);padding:26px 32px}\n.baband .k{font-family:var(--mono);font-size:11px;letter-spacing:.2em;text-transform:uppercase;color:var(--faint);margin-bottom:8px}\n.baband .before p{color:var(--faint);text-decoration:line-through;text-decoration-color:rgba(255,106,77,.5);font-size:15px}\n.baband .arrow{color:var(--blue);font-size:26px;line-height:1}\n.baband .after p{color:var(--ink);font-size:15px}\n#glance{border-bottom:1px solid var(--line);min-height:auto}\n.glance-grid{display:grid;grid-template-columns:repeat(3,1fr);gap:16px;margin-top:42px}\n.gcard{position:relative;border:1px solid var(--line);border-radius:18px;background:var(--panel);padding:22px;display:flex;flex-direction:column;gap:12px;transition:transform .4s var(--spring),border-color .4s,background .4s;overflow:hidden}\n.gcard:hover{transform:translateY(-3px);border-color:color-mix(in srgb,var(--hue) 55%,var(--line));background:var(--panel2)}\n.gcard .num{position:absolute;top:16px;right:18px;font-family:var(--mono);font-size:11px;color:var(--faint)}\n.gicon{width:42px;height:42px;display:flex;align-items:center;justify-content:center;border-radius:11px;background:color-mix(in srgb,var(--hue) 15%,transparent)}\n.gsvg{width:24px;height:24px;stroke:var(--hue);stroke-width:2.2;fill:none;stroke-linecap:round;stroke-linejoin:round;overflow:visible}\n.gsvg *{transform-box:fill-box;transform-origin:center}\n.gsvg .dot{fill:var(--hue);stroke:none;animation:gdot 2.6s var(--soft) infinite}\n@keyframes gdot{0%{transform:translateX(0);opacity:0}12%{opacity:1}88%{opacity:1}100%{transform:translateX(24px);opacity:0}}\n.gsvg .b2{animation:gpulse 2.2s ease-in-out infinite}\n@keyframes gpulse{0%,100%{opacity:.4}50%{opacity:1}}\n.gsvg .bar{transform-origin:bottom center;animation:gbar 1.9s ease-in-out infinite}\n.gsvg .bar2{animation-delay:.22s}.gsvg .bar3{animation-delay:.44s}\n@keyframes gbar{0%,100%{transform:scaleY(.55)}50%{transform:scaleY(1)}}\n.gsvg .bx{animation:gbox 2.4s var(--spring) infinite}\n@keyframes gbox{0%,100%{transform:translateY(0)}50%{transform:translateY(-4px)}}\n.gname{font-size:16px;font-weight:700;letter-spacing:-.01em}\n.gval{font-size:13px;color:var(--mut);line-height:1.42}\n.clients-row{display:flex;flex-wrap:wrap;align-items:center;gap:14px 40px;margin-top:36px;padding-top:30px;border-top:1px solid var(--line)}\n.clients-row .cl-lead{width:100%;font-family:var(--mono);font-size:11px;letter-spacing:.16em;text-transform:uppercase;color:var(--faint);margin-bottom:2px}\n.clients-row .cl{font-size:19px;font-weight:600;color:rgba(255,255,255,.58);filter:grayscale(1);transition:color .3s,opacity .3s;opacity:.85}\n.clients-row .cl:hover{color:#fff;opacity:1}\n@media(max-width:900px){.glance-grid{grid-template-columns:1fr 1fr}}\n@media(max-width:600px){.glance-grid{grid-template-columns:1fr}}\n#proof{min-height:auto;padding:70px 40px;border-bottom:1px solid var(--line)}\n#proof .lead{text-align:center;color:var(--mut);font-size:13px;font-family:var(--mono);letter-spacing:.14em;text-transform:uppercase;margin-bottom:34px}\n.logos{display:flex;flex-wrap:wrap;align-items:center;justify-content:center;gap:14px 54px}\n.logos .lg{font-size:23px;font-weight:600;letter-spacing:.01em;color:rgba(255,255,255,.62);filter:grayscale(1);transition:color .3s,filter .3s,opacity .3s;opacity:.85}\n.logos .lg:hover{color:#fff;opacity:1}\n.prod-row{display:flex;align-items:center;gap:10px;flex-wrap:wrap}\n.prod-row .lbl{font-family:var(--mono);font-size:11px;letter-spacing:.16em;text-transform:uppercase;color:var(--faint);margin-right:4px}\n.chip{font-family:var(--mono);font-size:11px;letter-spacing:.08em;color:var(--ink);border:1px solid var(--line);border-radius:999px;padding:6px 12px;background:var(--panel2)}\n#industries{padding:0;min-height:auto}\n.ind-head{padding:110px 40px 40px;max-width:1180px;margin:0 auto}\n.ind-head h2{font-size:clamp(30px,5vw,62px);font-weight:800;letter-spacing:-.02em;line-height:1;text-wrap:balance}\n.ind-head p{color:var(--mut);font-size:18px;margin-top:18px;max-width:52ch}\n.industry{position:relative;min-height:100vh;display:flex;align-items:center;padding:110px 40px;overflow:hidden;border-top:1px solid var(--line);scroll-snap-align:start}\n.industry .glow{position:absolute;inset:0;pointer-events:none;background:radial-gradient(60% 70% at 82% 30%,color-mix(in srgb,var(--hue) 42%,transparent),transparent 66%)}\n.industry .glow2{position:absolute;inset:0;pointer-events:none;background:radial-gradient(50% 60% at 10% 90%,color-mix(in srgb,var(--hue) 20%,transparent),transparent 60%)}\n.industry .flow{position:absolute;inset:0;z-index:1;width:100%;height:100%;pointer-events:none;mix-blend-mode:screen}\n.industry .inner{position:relative;z-index:2;max-width:1180px;margin:0 auto;width:100%;display:grid;grid-template-columns:1.05fr .95fr;gap:64px;align-items:center}\n.ix-num{font-family:var(--mono);font-size:13px;letter-spacing:.2em;color:var(--hue);margin-bottom:20px}\n.ix-num span{color:var(--faint)}\n.ix-name{font-size:clamp(34px,5.6vw,74px);font-weight:800;line-height:.96;letter-spacing:-.02em;text-wrap:balance}\n.ix-poss{margin-top:26px;font-size:clamp(19px,2.3vw,27px);line-height:1.28;font-weight:500;color:#fff;text-wrap:balance;max-width:22ch}\n.ix-poss b{color:var(--hue);font-weight:700}\n.ix-side{display:flex;flex-direction:column;gap:22px}\n.caps{display:flex;flex-direction:column;border:1px solid var(--line);border-radius:16px;background:rgba(12,12,15,.55);backdrop-filter:blur(6px);-webkit-backdrop-filter:blur(6px);overflow:hidden}\n.caps .cap{display:flex;align-items:center;gap:14px;padding:15px 20px;border-bottom:1px solid var(--line2);font-size:15px}\n.caps .cap:last-child{border-bottom:0}\n.caps .cap .dot{width:8px;height:8px;border-radius:50%;background:var(--hue);flex:none;box-shadow:0 0 10px 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scale(1.22);filter:brightness(1.12)}\n.ring .orb::after{content:attr(data-code);position:absolute;left:50%;top:118%;transform:translateX(-50%);font-family:var(--mono);font-size:10px;letter-spacing:.12em;color:var(--mut);white-space:nowrap}\n.ring .center{position:absolute;left:50%;top:50%;transform:translate(-50%,-50%);text-align:center}\n.ring .center .mark{font-size:40px;color:#fff}\n.ring .center small{display:block;font-family:var(--mono);font-size:10px;letter-spacing:.2em;color:var(--faint);margin-top:6px;text-transform:uppercase}\n.prod-detail .code{font-family:var(--mono);font-size:13px;letter-spacing:.18em;color:var(--pc,#fff)}\n.prod-detail h3{font-size:clamp(26px,3.4vw,40px);font-weight:800;letter-spacing:-.01em;margin:8px 0 14px;text-wrap:balance}\n.prod-detail p{color:var(--mut);font-size:18px;max-width:40ch}\n.prod-detail .what{color:var(--faint);font-family:var(--mono);font-size:12px;letter-spacing:.06em;margin-top:16px;text-transform:uppercase}\n.prod-detail .soon{display:inline-block;margin-left:8px;font-family:var(--mono);font-size:10px;color:#08080a;background:var(--warn);border-radius:999px;padding:2px 8px;letter-spacing:.1em}\n.prod-showcase{display:flex;flex-direction:column;align-items:center;gap:6px}\n.prod-showcase .ring{margin:16px auto 6px}\n.pgrid{display:grid;grid-template-columns:repeat(4,1fr);gap:16px;margin-top:34px;width:100%}\n.pcard{border:1px solid var(--line);border-radius:18px;background:var(--panel);padding:18px 18px 20px;display:flex;flex-direction:column;gap:7px;transition:transform .4s var(--spring),border-color .4s,background .4s}\n.pcard:hover{transform:translateY(-3px);border-color:color-mix(in srgb,var(--pc) 55%,var(--line));background:var(--panel2)}\n.pcard .ptop{display:flex;align-items:center;gap:9px}\n.pcard .pcdot{width:10px;height:10px;border-radius:50%;background:var(--pc);box-shadow:0 0 12px var(--pc);flex:none}\n.pcard .pccode{font-family:var(--mono);font-size:12px;letter-spacing:.14em;color:var(--pc)}\n.pcard .pcname{font-size:16px;font-weight:700;letter-spacing:-.01em}\n.pcard .pctag{font-size:13px;color:var(--mut);line-height:1.45}\n.pcard .soon{margin-left:auto;font-family:var(--mono);font-size:9px;letter-spacing:.1em;color:#08080a;background:var(--warn);border-radius:999px;padding:2px 7px}\n@media(max-width:900px){.pgrid{grid-template-columns:1fr 1fr}}\n@media(max-width:560px){.pgrid{grid-template-columns:1fr}}\n#deliver{border-top:1px solid var(--line)}\n.deliver-grid{display:grid;grid-template-columns:1fr 1fr;gap:24px;margin-top:44px}\n.card{border:1px solid var(--line);border-radius:18px;background:var(--panel);padding:34px;position:relative;overflow:hidden;transition:transform .45s var(--spring),box-shadow .4s,border-color .4s}\n.card:hover{transform:translateY(-3px);box-shadow:0 22px 60px rgba(0,0,0,.5);border-color:rgba(255,255,255,.16)}\n.card .accent{height:6px;border-radius:999px;background:var(--worm);background-size:var(--tile) 100%;animation:flow 15s linear infinite;margin-bottom:22px;width:64px}\n.card h3{font-size:26px;font-weight:700;letter-spacing:-.01em;margin-bottom:10px}\n.card>p{color:var(--mut);font-size:16px;margin-bottom:20px;max-width:42ch}\n.flavors{display:flex;gap:10px;flex-wrap:wrap}\n.flavor{font-family:var(--mono);font-size:12px;letter-spacing:.08em;border:1px solid var(--line);border-radius:10px;padding:9px 14px;color:var(--ink)}\n.card .own{font-size:clamp(28px,3.6vw,44px);font-weight:800;letter-spacing:-.02em;line-height:1;margin-bottom:14px}\n.card .own em{font-style:normal;background:var(--worm);background-size:var(--tile) 100%;-webkit-background-clip:text;background-clip:text;color:transparent;animation:flow 15s linear infinite}\n.fde-band{margin-top:26px;display:flex;flex-wrap:wrap;align-items:center;justify-content:space-between;gap:16px;border:1px solid var(--line);border-radius:16px;background:var(--panel2);padding:22px 28px}\n.fde-flow{display:flex;flex-wrap:wrap;align-items:center;gap:12px;font-size:clamp(16px,2vw,22px);font-weight:700;letter-spacing:-.01em}\n.fde-flow i{color:var(--blue);font-style:normal;font-weight:400}\n.fde-pay{font-family:var(--mono);font-size:13px;letter-spacing:.06em;color:var(--mut)}\n.cta-kicker{font-family:var(--mono);font-size:12px;letter-spacing:.22em;text-transform:uppercase;color:var(--faint);margin-bottom:20px}\n#cta .cta-row{display:flex;gap:14px;flex-wrap:wrap;justify-content:center}\n#cta{border-top:1px solid var(--line);text-align:center;align-items:center}\n#cta .big{font-size:clamp(34px,6vw,84px);font-weight:800;letter-spacing:-.02em;line-height:.95;text-transform:uppercase;text-wrap:balance}\n#cta .sub{color:var(--mut);font-size:19px;margin:22px auto 40px;max-width:44ch}\nfooter{padding:60px 40px 50px;border-top:1px solid var(--line);background:var(--panel)}\n.foot{max-width:1180px;margin:0 auto;display:flex;justify-content:space-between;align-items:flex-start;gap:40px;flex-wrap:wrap}\n.foot .mark{font-size:30px}\n.foot .cols{display:flex;gap:60px;flex-wrap:wrap}\n.foot .fc h5{font-family:var(--mono);font-size:11px;letter-spacing:.16em;text-transform:uppercase;color:var(--faint);margin-bottom:14px}\n.foot .fc a{display:block;color:var(--mut);font-size:14px;margin-bottom:9px;transition:color .2s}\n.foot .fc a:hover{color:#fff}\n.foot .fine{width:100%;border-top:1px solid var(--line);margin-top:36px;padding-top:22px;display:flex;justify-content:space-between;color:var(--faint);font-size:12px;font-family:var(--mono);letter-spacing:.04em;flex-wrap:wrap;gap:10px}\n.rail{position:absolute;right:22px;transform:translateY(-50%);z-index:40;display:flex;flex-direction:column;gap:12px}\n.rail a{width:9px;height:9px;border-radius:50%;border:1.4px solid rgba(255,255,255,.4);transition:.3s var(--spring)}\n.rail a.on{background:#fff;border-color:#fff;transform:scale(1.15)}\n.rail a:hover{border-color:#fff}\n@media(max-width:900px){\n .navlinks{display:none}\n .burger{display:flex}\n header.nav.open .navlinks{display:flex;position:absolute;top:100%;left:0;right:0;flex-direction:column;gap:0;background:rgba(6,6,8,.96);backdrop-filter:blur(16px);padding:10px 40px 24px;border-bottom:1px solid var(--line)}\n header.nav.open .navlinks a{padding:12px 0;border-bottom:1px solid var(--line2)}\n section{padding:90px 24px}\n .industry .inner{grid-template-columns:1fr;gap:34px}\n .threads-grid{grid-template-columns:1fr}\n .prod-wrap{grid-template-columns:1fr;gap:40px}\n .deliver-grid{grid-template-columns:1fr}\n .triad{grid-template-columns:1fr}\n .baband{grid-template-columns:1fr;gap:12px}\n .baband .arrow{transform:rotate(90deg)}\n .rail{display:none}\n .credit{display:none}\n}\n`,\n render(d2){\n return `
\n\n
\n \n \n
\n
\n Entrar\n \n
\n
\n
\n
\n
\n
Consultoria de engenharia · plataforma e runtimes próprios
\n

ao software em produção.\" data-en=\"From a business problem
to software in production.\">Do problema de negócio
ao software em produção.

\n

Uma consultoria de engenharia com plataforma e runtimes próprios. Encaramos os problemas difíceis das grandes operações — e entregamos rodando, com o seu time junto.

\n
\n Ver o que é possível\n Agendar demo\n
\n
\n
Já em produção comNatura · XP · Americanas · Whirlpool · Arcadis · Raízen
\n
30 min mapeamos onde dói→2–4 semanas sprint com engenheiro embarcado→Em produção seu time é dono
\n
\n
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ROLE
\n
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A Data² em uma tela

\n

O que vemos, o que fazemos e para quem.

\n
\n
\n
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O que vemos
\n

software esperando pra existir.\" data-en=\"Every area has software waiting to exist.\">.

\n

.

\n
\n
\n
\n
O que fazemos
\n

software de verdade.\" data-en=\"A suite that becomes real software.\">.

\n

.

\n
UIREGISTRYMEDIAIDCONNECTDOMAINRUSHCASHIER
\n
\n
\n
\n
Para quem
\n

tem o problema.\" data-en=\"For the area that owns the problem.\">.

\n

.

\n
RH · Supply · Financeiro · CX · Varejo · Vendas · BI · Seguros · Compras
\n
\n
\n
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Antes

.

\n
→
\n
Com a Data²

.

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Panorama

\n

As frentes onde já entregamos

\n
\n
01RH & Pessoas.
\n
02Supply & Operações.
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03Serviços Financeiros.
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04CX & Contact Center.
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05Varejo & E-commerce.
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06Força de Vendas.
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07BI & Analytics.
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08Seguros & CX.
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09Compras & Procurement.
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${d2.render('www@nUYyYfWeNHEK6YeaD5kcd',{},{style:'display:block;width:100%;height:86vh'})}
\n\n
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Times de negócio já constroem na Data²

\n
\n NaturaXPAmericanasVivaraAvonJustos\n
\n
\n
\n
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O que é possível

\n

Uma plataforma. Toda indústria.

\n

.

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RH & Pessoas.›
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UICONNECTRUSHIDA.I.
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Supply & Operações.›
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UIREGISTRYCONNECTRUSH
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Serviços Financeiros.›
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CONNECTRUSHUIIDA.I.
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CX & Contact Center.›

CX & Contact Center

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ProdutosCONNECTRUSHA.I.UIMEDIA
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Varejo & E-commerce.›
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UICONNECTREGISTRYMEDIA
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Força de Vendas.›
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UICONNECTRUSHA.I.REGISTRY
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BI & Analytics.›
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REGISTRYCONNECTRUSHUI
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Seguros & CX.›
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A.I.CONNECTREGISTRYUI
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Compras & Procurement.›
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UIREGISTRYCONNECTRUSH
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01 — 09
\n
RH & Pessoas
\n
milhares de colaboradores, em vários idiomas — na hora.\" data-en=\"An HR that answers thousands of employees, in multiple languages — instantly.\">.
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Assistente de AI para o colaborador
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Transbordo para atendimento humano
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Leitura de documentos (OCR)
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Respostas e regras configuráveis pela área
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Analytics e CSAT
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ProdutosUICONNECTRUSHIDA.I.
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02 — 09
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Supply & Operações
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sobra de estoque em plano de produção priorizado — em minutos, não semanas.\" data-en=\"Turn leftover stock into a prioritized production plan — in minutes, not weeks.\">.
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Simulação de cenários de produção
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Explosão de estrutura (BOM)
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Score de economia e viabilidade
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SQL self-service sobre o data lake
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Exportação para planilha
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ProdutosUIREGISTRYCONNECTRUSH
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03 — 09
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Serviços Financeiros
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1-a-1 personalizada por AI, em escala de milhares — operada pelo próprio time comercial.\" data-en=\"AI-personalized 1-to-1 outreach at a scale of thousands — run by the commercial team itself.\">.
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CRM + automação de outreach
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Ondas de mensagens omnichannel
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Copy gerada por AI no tom do lead
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Modelagem de proposta e ROI
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SSO corporativo
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ProdutosCONNECTRUSHUIIDA.I.
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04 — 09
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CX & Contact Center
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contact center inteiro — do widget no site à automação de fila — numa plataforma só.\" data-en=\"An entire contact center — from the on-site widget to queue automation — on a single platform.\">.
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Webchat omnichannel
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Bot de triagem com AI
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Transbordo bot → humano
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Workspace de agente + console de supervisor
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Automação de filas e CSAT
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ProdutosCONNECTRUSHA.I.UIMEDIA
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05 — 09
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Varejo & E-commerce
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vitrine ao ERP: experiências de compra sob medida, com os dados reais do seu e-commerce.\" data-en=\"From storefront to ERP: tailor-made buying experiences, with your e-commerce's real data.\">.
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Experiências de catálogo e produto
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Integração VTEX / GraphQL
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Estúdio de foto com AI
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ERP e operações de loja
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ProdutosUICONNECTREGISTRYMEDIA
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06 — 09
\n
Força de Vendas
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copiloto de vendas que diz a cada vendedor a próxima melhor ação — em linguagem natural.\" data-en=\"A sales copilot that tells each rep the next best action — in natural language.\">.
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Copiloto de vendas em linguagem natural
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Recomendação de próxima melhor ação
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Busca de clientes e segmentos com AI
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Painéis de performance da carteira
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Geração de conteúdo e imagem com AI
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ProdutosUICONNECTRUSHA.I.REGISTRY
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07 — 09
\n
BI & Analytics
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dado vivo ao plano de ação — painéis que a área lê e age, sem exportar pra planilha.\" data-en=\"From live data to an action plan — dashboards the team reads and acts on, no spreadsheet export.\">.
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Painéis executivos sobre dado vivo
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Ingestão diária automatizada
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Metas e plano de ação acompanhados
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Alertas e monitoramento
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ProdutosREGISTRYCONNECTRUSHUI
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08 — 09
\n
Seguros & CX
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responde na fonte certa — base de conhecimento com busca semântica e triagem por AI.\" data-en=\"Support that answers from the right source — a semantic knowledge base with AI triage.\">.
\n
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Base de conhecimento com busca semântica
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Triagem e atendimento com AI
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Respostas ancoradas na fonte
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Analytics de atendimento
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ProdutosA.I.CONNECTREGISTRYUI
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09 — 09
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Compras & Procurement
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Excelência em compras: modelagem financeira e planejamento de fornecimento, simulados em minutos.\" data-en=\"Procurement excellence: financial modeling and supply planning, simulated in minutes.\">.
\n
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Planejamento de fornecimento
\n
Modelagem financeira de cenários
\n
Simuladores e croquis de decisão
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Compras orientadas a dado
\n
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ProdutosUIREGISTRYCONNECTRUSH
\n
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\n

Em toda indústria

\n

O mesmo motor, seja qual for o problema

\n
\n
A.I.
AI embutida
.
\n
OMNI
Omnichannel
.
\n
DATA
Dados reais + integrações
.
\n
AUTO
Automação
.
\n
VIEW
Dashboards
.
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NOCODE
Sem código
.
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Resultados

\n

No fim do dia, movemos KPIs.

\n

.

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\n
Contact Center90%\" data-en=\"up to 90%\" data-zh=\"高达 90%\">..
\n
NPS+26 pts\" data-en=\"+26 pts\" data-zh=\"+26 分\">..
\n
Conversão+20%\" data-en=\"+20%\" data-zh=\"+20%\">..
\n
Operações−85%\" data-en=\"−85%\" data-zh=\"−85%\">..
\n
Comprasmilhões\" data-en=\"millions\" data-zh=\"数百万\">..
\n
Time-to-market30 dias\" data-en=\"30 days\" data-zh=\"30 天\">..
\n
Escala100k+/dia\" data-en=\"100k+/day\" data-zh=\"每日 10万+\">..
\n
Retenção85%\" data-en=\"85%\" data-zh=\"85%\">..
\n
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\n\n
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A Suíte

\n

Oito produtos. Um só sistema.

\n
\n
8 produtos · 1 sistema
\n
\n
UI
Interface
.
\n
REGISTRY
Dados
.
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MEDIA
Mídia
.
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ID
Identidade
.
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CONNECT
Integrações
.
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DOMAIN
Domínio · AI
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RUSH
Automação
.
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CASHIERSOON
Pagamentos
.
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\n

A plataforma

\n

Escrita desde 2020. Não embrulhada.

\n

.

\n
\n
EVENTO
entra
\n
RUSH
decide
\n
CONNECT · DOMAIN
AI + integrações
\n
REGISTRY
dados
\n
DATASET
reativo
\n
UI
em tela
\n
\n
\n Nível de engenharia\n Auth & SSOKey VaultsSSRCronWebSocketsLogsSemantic SearchStaging → Publish\n
\n
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Como entregamos

\n

Nossa stack. Nossos serviços.

\n
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\n

Sprints

\n

.

\n
Forward Deployed EngineersIdeaçãoDesignProtótipo
\n
\n
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Seus dados são seus.\" data-en=\"Own your data.\">.
\n \n
Domain-DrivenLinguagem única de dados
\n
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Seu time aprende→é dono→evolui
\n
Pague por entrega, não por hora.
\n
\n
\n
\n
\n
\n

Pronto pra começar?

\n

à produção.\" data-en=\"From problem
to production.\">Do problema
à produção.

\n

.

\n
Agendar uma demoFalar com a gente
\n
\n
\n\n
\n
\n \n \n \n \n \n \n \n \n \n \n \n \n
\n
\n
\n
Universo
\n

CX & Contact Center

\n

.

\n
\n \n \n \n \n \n Webchat\n Bot de triagem\n Transbordo\n Console\n Filas & CSAT\n
\n
Passe o mouse · clique um componente · role
\n
\n
01 / 05
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▸.
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▸.
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100k+ atendimentos/dia
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02 / 05
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▸.
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−50% tempo de resolução
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03 / 05
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100% do contexto preservado
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04 / 05
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1 tela para toda a operação
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05 / 05
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85% retenção+26 NPS
\n

Qualquer coisa pode ser construída.\" data-en=\"And this is just the start. Anything can be built.\" data-zh=\"而这只是开始。任何东西都能被构建。\">.

.

Agendar uma demo
\n
\n
\n
\n
`;\n },\n mounted(d2, root){\n var mq = window.matchMedia && window.matchMedia(\"(prefers-reduced-motion: reduce)\");\n var reduce = mq ? mq.matches : false;\n var sc = root.querySelector(\".d2site\");\n if(!sc) return;\n var lang = \"pt\";\n var ZH = {\n \"Industries\": \"行业方案\",\n \"Products\": \"产品\",\n \"How we deliver\": \"交付方式\",\n \"Customers\": \"客户\",\n \"Demo\": \"演示\",\n \"Sign in\": \"登录\",\n \"EXPRESS YOURSELF
AT SCALE.\": \"尽情表达，
规模无限。\",\n \"From a business problem to software in production. Data² is the suite that turns any team into the team that ships.\": \"从业务难题到上线软件。Data² 让每一个团队都成为能交付的团队。\",\n \"See what's possible\": \"看看能实现什么\",\n \"Book a demo\": \"预约演示\",\n \"Imagery from the Data² Synthesys Project.\": \"图像来自 Data² Synthesys 项目。\",\n \"Synthesys is a concept created and captured by Lívia Elektra, representing the power of expression and freedom that Data² provides.\": \"Synthesys 是 Lívia Elektra 创作并捕捉的概念，象征 Data² 所带来的表达力与自由。\",\n \"SCROLL\": \"向下滚动\",\n \"Data² in one screen\": \"一屏读懂 Data²\",\n \"What we see, what we do, and who for.\": \"我们看见什么、我们做什么、为谁而做。\",\n \"What we see\": \"我们看见什么\",\n \"Every area has software waiting to exist.\": \"每个业务部门，都有一款等待诞生的软件。\",\n \"Technology already lets us build almost anything. What was missing is the direct bridge between the people who know the problem and the solution running in production.\": \"技术早已能构建几乎一切。所缺的，是让懂问题的人与上线运行的方案之间，直接搭起的那座桥。\",\n \"What we do\": \"我们做什么\",\n \"A suite that becomes real software.\": \"一套真正变成软件的套件。\",\n \"8 products with AI, omnichannel, real data, automation and dashboards — assembled in the visual builder and shipped to production. No code.\": \"8 款产品，涵盖 AI、全渠道、真实数据、自动化与仪表盘 —— 在可视化构建器中组装，直接上线生产。无需代码。\",\n \"Who for\": \"为谁而做\",\n \"For the area that owns the problem.\": \"为真正面对问题的那个部门。\",\n \"Business teams at large companies that won't wait anymore. We are the enablers between the idea and production.\": \"为不愿再等待的大型企业业务团队。我们，是连接创意与生产的赋能者。\",\n \"HR · Supply · Financial · CX · Retail · Sales · BI · Insurance · Procurement\": \"人力 · 供应 · 财务 · 客户体验 · 零售 · 销售 · 商业智能 · 保险 · 采购\",\n \"Before\": \"过去\",\n \"From idea to delivery: many hands, many translations, a lot of time.\": \"从创意到交付：经手无数、层层转译、耗时漫长。\",\n \"With Data²\": \"有了 Data²\",\n \"The business area itself designs, connects the real data, ships and operates. In production.\": \"业务部门亲手设计、接入真实数据、发布并运营。直接在生产环境。\",\n \"At a glance\": \"概览\",\n \"Where we already deliver\": \"我们已交付的领域\",\n \"HR & People\": \"人力资源与员工\",\n \"AI employee support\": \"AI 员工服务\",\n \"Supply & Operations\": \"供应链与运营\",\n \"Scenarios into production plans\": \"情景转化为生产计划\",\n \"Financial Services\": \"金融服务\",\n \"AI-personalized outreach\": \"AI 个性化触达\",\n \"CX & Contact Center\": \"客户体验与呼叫中心\",\n \"A contact center on one platform\": \"一体化呼叫中心\",\n \"Retail & E-commerce\": \"零售与电商\",\n \"From storefront to ERP\": \"从门店到 ERP\",\n \"Sales Enablement\": \"销售赋能\",\n \"A sales copilot for the field\": \"一线销售副驾\",\n \"BI & Analytics\": \"商业智能与分析\",\n \"Live data to action plan\": \"从实时数据到行动计划\",\n \"Insurance & CX\": \"保险与客户体验\",\n \"Semantic knowledge base\": \"语义知识库\",\n \"Procurement\": \"采购\",\n \"Sourcing modeling & planning\": \"采购建模与规划\",\n \"Built on Data² by\": \"他们在 Data² 上构建\",\n \"Business teams already build on Data²\": \"业务团队已在 Data² 上构建\",\n \"What's possible\": \"无限可能\",\n \"One platform. Every industry.\": \"一个平台，服务每个行业。\",\n \"We don't sell slides. Each frontier below is real software, in production, built by the business area itself.\": \"我们不卖幻灯片。以下每一个领域，都是真实、上线、由业务部门亲手构建的软件。\",\n \"An HR that answers thousands of employees, in multiple languages — instantly.\": \"一个能即时回应数千名员工、支持多语言的人力资源。\",\n \"AI assistant for employees\": \"面向员工的 AI 助手\",\n \"Handoff to human agents\": \"转接人工客服\",\n \"Document reading (OCR)\": \"文档识别（OCR）\",\n \"Answers & rules configured by the team\": \"答案与规则由业务团队配置\",\n \"Analytics & CSAT\": \"分析与满意度（CSAT）\",\n \"Turn leftover stock into a prioritized production plan — in minutes, not weeks.\": \"把过剩库存变成有优先级的生产计划 —— 只需几分钟，而非数周。\",\n \"Production scenario simulation\": \"生产情景模拟\",\n \"Bill-of-materials explosion\": \"物料清单（BOM）展开\",\n \"Savings & feasibility scoring\": \"节省与可行性评分\",\n \"Self-service SQL over the data lake\": \"面向数据湖的自助 SQL\",\n \"Export to spreadsheet\": \"导出到表格\",\n \"AI-personalized 1-to-1 outreach at a scale of thousands — run by the commercial team itself.\": \"AI 一对一个性化触达，规模可达数千 —— 由商务团队自己操盘。\",\n \"CRM + outreach automation\": \"CRM + 触达自动化\",\n \"Omnichannel message waves\": \"全渠道消息波次\",\n \"AI-written copy in the lead's tone\": \"以客户口吻由 AI 撜写文案\",\n \"Offer & ROI modeling\": \"方案与 ROI 建模\",\n \"Corporate SSO\": \"企业单点登录（SSO）\",\n \"An entire contact center — from the on-site widget to queue automation — on a single platform.\": \"一个完整的呼叫中心 —— 从网站挂件到队列自动化 —— 全在一个平台上。\",\n \"Omnichannel webchat\": \"全渠道网页聊天\",\n \"AI triage bot\": \"AI 分流机器人\",\n \"Bot → human handoff\": \"机器人 → 人工转接\",\n \"Agent workspace + supervisor console\": \"坐席工作台 + 主管控制台\",\n \"Queue automation & CSAT\": \"队列自动化与满意度（CSAT）\",\n \"From storefront to ERP: tailor-made buying experiences, with your e-commerce's real data.\": \"从门店到 ERP：量身定制的购物体验，用你电商的真实数据驱动。\",\n \"Catalog & product experiences\": \"目录与商品体验\",\n \"VTEX / GraphQL integration\": \"VTEX / GraphQL 集成\",\n \"AI photo studio\": \"AI 影像工作室\",\n \"ERP & store operations\": \"ERP 与门店运营\",\n \"A sales copilot that tells each rep the next best action — in natural language.\": \"一个销售副驾，用自然语言告诉每位销售下一步的最佳行动。\",\n \"Sales copilot in natural language\": \"自然语言销售副驾\",\n \"Next-best-action recommendation\": \"下一最佳行动推荐\",\n \"AI search over customers & segments\": \"面向客户与细分的 AI 搜索\",\n \"Portfolio performance dashboards\": \"客户组合业绩仪表盘\",\n \"AI content & image generation\": \"AI 内容与图像生成\",\n \"From live data to an action plan — dashboards the team reads and acts on, no spreadsheet export.\": \"从实时数据到行动计划 —— 业务团队看得懂、能行动的仪表盘，无需导出表格。\",\n \"Executive dashboards on live data\": \"基于实时数据的高管仪表盘\",\n \"Automated daily ingestion\": \"每日自动数据接入\",\n \"Targets & action plan tracked\": \"目标与行动计划全程追踪\",\n \"Alerts & monitoring\": \"告警与监控\",\n \"Support that answers from the right source — a semantic knowledge base with AI triage.\": \"从正确来源作答的客服 —— 配备语义知识库与 AI 分流。\",\n \"Semantic-search knowledge base\": \"语义搜索知识库\",\n \"AI triage & support\": \"AI 分流与客服\",\n \"Answers grounded in the source\": \"答案有据可依，源自原文\",\n \"Support analytics\": \"客服分析\",\n \"Procurement excellence: financial modeling and supply planning, simulated in minutes.\": \"采购卓越：财务建模与供应规划，几分钟即可模拟完成。\",\n \"Supply planning\": \"供应规划\",\n \"Financial scenario modeling\": \"财务情景建模\",\n \"Decision simulators & builders\": \"决策模拟器与构建器\",\n \"Data-driven sourcing\": \"数据驱动的采购\",\n \"Across every industry\": \"贯穿每个行业\",\n \"The same engine, whatever the problem\": \"无论什么问题，都是同一套引擎\",\n \"AI built in\": \"内置 AI\",\n \"Detection, classification, generation and vision — in natural language.\": \"检测、分类、生成与视觉 —— 皆以自然语言驱动。\",\n \"Omnichannel\": \"全渠道\",\n \"WhatsApp, voice, webchat and email in one flow.\": \"WhatsApp、语音、网页聊天与邮件，统一于一条流程。\",\n \"Real data + integrations\": \"真实数据 + 集成\",\n \"Databricks, VTEX, CRMs, SSO — genuinely connected.\": \"Databricks、VTEX、各类 CRM、SSO —— 真正打通连接。\",\n \"Automation\": \"自动化\",\n \"Events, webhooks and schedulers reacting in real time.\": \"事件、Webhook 与定时任务，实时响应。\",\n \"Dashboards\": \"仪表盘\",\n \"Panels and analytics over the operation's live data.\": \"基于业务实时数据的面板与分析。\",\n \"No code\": \"无需代码\",\n \"All assembled in the visual builder — by the business team itself.\": \"全部在可视化构建器中组装 —— 由业务团队亲手完成。\",\n \"The Suite\": \"套件\",\n \"Eight products. One system.\": \"八款产品，同一个系统。\",\n \"8 products · 1 system\": \"8 款产品 · 1 个系统\",\n \"Interface\": \"界面\",\n \"Design the app, not a picture of it.\": \"设计真正的应用，而非它的一张图。\",\n \"Data\": \"数据\",\n \"Model, store and analyze at scale. Goodbye Lorem Ipsum.\": \"大规模建模、存储与分析。告别占位假数据。\",\n \"Media\": \"媒体\",\n \"Optimize and distribute files, in the cloud.\": \"在云端优化与分发文件。\",\n \"Identity\": \"身份\",\n \"Full lifecycles, from onboarding to password reset.\": \"完整的生命周期，从注册入门到密码重置。\",\n \"Integrations\": \"集成\",\n \"Connect to any external service.\": \"连接任何外部服务。\",\n \"Domain · AI\": \"领域 · AI\",\n \"Your model, never hidden in code. Multimodal AI.\": \"你的模型，绝不藏在代码里。多模态 AI。\",\n \"Automation\": \"自动化\",\n \"React to events in real time. Webhooks and schedulers.\": \"实时响应事件。Webhook 与定时任务。\",\n \"Payments\": \"支付\",\n \"Charge and get paid — any value transaction.\": \"收款与入账 —— 任何价值交易。\",\n \"Our stack. Our services.\": \"我们的技术栈。我们的服务。\",\n \"Our Forward Deployed Engineers embed with your area: they learn the pain, prototype and build with you — from first step to production.\": \"我们的前置部署工程师入驻你的部门：读懂痛点，与你一起做原型、共同构建 —— 从第一步到生产上线。\",\n \"Ideation\": \"创意构思\",\n \"Prototype\": \"原型\",\n \"Own your data.\": \"掌控你的数据。\",\n \"The Data Framework keeps your model and infrastructure under your control — never hidden in code, never hostage to a vendor.\": \"数据框架让你的模型与基础设施始终在你掌控之中 —— 绝不藏于代码，绝不受制于供应商。\",\n \"Domain-Driven\": \"领域驱动\",\n \"Single Data Language\": \"统一数据语言\",\n \"From problem
to production.\": \"从问题
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Cada peça, um módulo Data².\",en:\"An HR that answers thousands of employees, in many languages — instantly. Each piece, a Data² module.\",zh:\"一个能即时回应数千名员工、支持多语言的人力资源 —— 每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m0\", label:{pt:\"Assistente de AI\",en:\"AI assistant\",zh:\"AI 助手\"}, title:{pt:\"Assistente de AI ao colaborador\",en:\"AI assistant for employees\",zh:\"面向员工的 AI 助手\"}, desc:{pt:\"Um assistente que responde dúvidas de RH — benefícios, férias, políticas — em linguagem natural e em vários idiomas, 24/7.\",en:\"An assistant that answers HR questions — benefits, vacation, policies — in natural language and many languages, 24/7.\",zh:\"一个用自然语言、多语言全天候回答人力资源问题（福利、休假、政策）的助手。\"}, points:[{pt:\"Chat com AI treinada nas políticas da empresa\",en:\"Chat with AI trained on company policy\",zh:\"基于公司政策训练的 AI 聊天\"},{pt:\"Respostas ancoradas em documentos internos\",en:\"Answers grounded in internal documents\",zh:\"答案有据可依，源自内部文档\"},{pt:\"Multi-idioma para operações globais\",en:\"Multi-language for global operations\",zh:\"面向全球运营的多语言支持\"},{pt:\"Disponível no portal, WhatsApp e Teams\",en:\"Available on portal, WhatsApp and Teams\",zh:\"支持门户、WhatsApp 与 Teams\"}], oldModel:{pt:\"Colaborador espera dias por uma resposta de RH; o time se afoga em perguntas repetidas.\",en:\"Employees wait days for an HR reply; the team drowns in repeated questions.\",zh:\"员工等待数日才得到人力资源回复；团队被重复问题淹没。\"}, withData2:{pt:\"Resposta na hora, a qualquer hora — e o time de RH foca no que é humano.\",en:\"Instant answers, any time — and the HR team focuses on what's human.\",zh:\"随时即时作答 —— 人力资源团队专注于真正需要人的事。\"}, kpis:[{num:\"24/7\",cap:{pt:\"disponibilidade\",en:\"availability\",zh:\"全天候可用\"}},{num:\"−70%\",cap:{pt:\"perguntas repetidas\",en:\"repeat questions\",zh:\"重复提问\"}}]},\n {motif:\"m2\", label:{pt:\"Transbordo\",en:\"Handoff\",zh:\"转接\"}, title:{pt:\"Transbordo para atendimento humano\",en:\"Handoff to a human agent\",zh:\"转接人工客服\"}, desc:{pt:\"Quando o caso é sensível, a conversa passa para o analista de RH certo — com todo o histórico.\",en:\"When a case is sensitive, the conversation moves to the right HR analyst — with the full history.\",zh:\"遇到敏感事项时，对话转交给合适的人力资源分析师 —— 携带完整历史。\"}, points:[{pt:\"Escalonamento por assunto e sensibilidade\",en:\"Escalation by topic and sensitivity\",zh:\"按主题与敏感度升级\"},{pt:\"Contexto completo entregue ao analista\",en:\"Full context handed to the analyst\",zh:\"向分析师交付完整上下文\"},{pt:\"Fila e status de atendimento\",en:\"Queue and handling status\",zh:\"队列与处理状态\"},{pt:\"Confidencialidade por perfil de acesso\",en:\"Confidentiality by access profile\",zh:\"按访问权限保密\"}], oldModel:{pt:\"Casos delicados se perdem em e-mails; ninguém sabe quem está tratando o quê.\",en:\"Delicate cases get lost in email; no one knows who is handling what.\",zh:\"敏感事项淹没在邮件里；无人知晓谁在处理什么。\"}, withData2:{pt:\"Cada caso vai para a pessoa certa, com contexto e rastreabilidade.\",en:\"Each case reaches the right person, with context and traceability.\",zh:\"每个事项都送达对的人，带上下文与可追溯。\"}, kpis:[{num:\"100%\",cap:{pt:\"contexto preservado\",en:\"context preserved\",zh:\"上下文保留\"}}]},\n {motif:\"m3\", label:{pt:\"Leitura de docs\",en:\"Doc reading\",zh:\"文档识别\"}, title:{pt:\"Leitura de documentos (OCR)\",en:\"Document reading (OCR)\",zh:\"文档识别（OCR）\"}, desc:{pt:\"Atestados, comprovantes e formulários lidos automaticamente pela AI — sem digitação manual.\",en:\"Certificates, receipts and forms read automatically by AI — no manual typing.\",zh:\"证明、凭证与表单由 AI 自动识别 —— 无需人工录入。\"}, points:[{pt:\"Extração de dados de imagens e PDFs\",en:\"Data extraction from images and PDFs\",zh:\"从图像与 PDF 中提取数据\"},{pt:\"Validação automática de campos\",en:\"Automatic field validation\",zh:\"字段自动校验\"},{pt:\"Classificação do tipo de documento\",en:\"Document-type classification\",zh:\"文档类型分类\"},{pt:\"Arquivo seguro no storage da empresa\",en:\"Secure filing in company storage\",zh:\"安全归档至公司存储\"}], oldModel:{pt:\"Alguém relê cada atestado e redigita à mão — lento e sujeito a erro.\",en:\"Someone rereads each certificate and retypes it by hand — slow and error-prone.\",zh:\"有人逐一重读证明并手动录入 —— 缓慢且易错。\"}, withData2:{pt:\"A AI lê, valida e arquiva em segundos.\",en:\"AI reads, validates and files in seconds.\",zh:\"AI 数秒内完成识别、校验与归档。\"}, kpis:[{num:\"−90%\",cap:{pt:\"tempo de digitação\",en:\"data-entry time\",zh:\"录入时间\"}}]},\n {motif:\"m1\", label:{pt:\"Regras\",en:\"Rules\",zh:\"规则\"}, title:{pt:\"Respostas e regras configuráveis pela área\",en:\"Answers & rules configured by the team\",zh:\"答案与规则由业务团队配置\"}, desc:{pt:\"O próprio RH ajusta respostas, fluxos e políticas — sem depender de TI ou de código.\",en:\"HR itself adjusts answers, flows and policies — with no dependency on IT or code.\",zh:\"人力资源团队自行调整答案、流程与政策 —— 无需依赖 IT 或代码。\"}, points:[{pt:\"Editor de respostas e fluxos sem código\",en:\"No-code answer and flow editor\",zh:\"无代码的答案与流程编辑器\"},{pt:\"Regras por país, área e cargo\",en:\"Rules by country, area and role\",zh:\"按国家、部门与岗位设置规则\"},{pt:\"Versões e publicação controladas\",en:\"Versioning and controlled publishing\",zh:\"版本管理与受控发布\"},{pt:\"Testes antes de ir ao ar\",en:\"Tested before going live\",zh:\"上线前测试\"}], oldModel:{pt:\"Cada mudança de política vira um chamado de TI que demora semanas.\",en:\"Every policy change becomes an IT ticket that takes weeks.\",zh:\"每次政策变更都变成耗时数周的 IT 工单。\"}, withData2:{pt:\"A área muda a regra e publica no mesmo dia.\",en:\"The team changes the rule and ships the same day.\",zh:\"业务团队当天即可修改规则并发布。\"}, kpis:[{num:\"0\",cap:{pt:\"dependência de código\",en:\"code dependency\",zh:\"代码依赖\"}}]},\n {motif:\"m4\", label:{pt:\"Analytics & CSAT\",en:\"Analytics & CSAT\",zh:\"分析与 CSAT\"}, title:{pt:\"Analytics e CSAT\",en:\"Analytics & CSAT\",zh:\"分析与满意度（CSAT）\"}, desc:{pt:\"Painéis mostram volume, temas, tempo de resposta e satisfação — para melhorar continuamente.\",en:\"Dashboards show volume, topics, response time and satisfaction — to improve continuously.\",zh:\"仪表盘呈现工单量、主题、响应时间与满意度 —— 持续改进。\"}, points:[{pt:\"Métricas de volume e tempo de resposta\",en:\"Volume and response-time metrics\",zh:\"工单量与响应时间指标\"},{pt:\"Temas mais perguntados\",en:\"Most-asked topics\",zh:\"最常被问的主题\"},{pt:\"Pesquisa de satisfação (CSAT)\",en:\"Satisfaction survey (CSAT)\",zh:\"满意度调查（CSAT）\"},{pt:\"Alertas de picos e gargalos\",en:\"Alerts for spikes and bottlenecks\",zh:\"峰值与瓶颈告警\"}], oldModel:{pt:\"Ninguém sabe o que mais consome o RH; decisão no achismo.\",en:\"No one knows what consumes HR most; decisions by guesswork.\",zh:\"无人知晓什么最耗费人力资源精力；决策靠猜。\"}, withData2:{pt:\"Dados mostram onde agir — e a experiência do colaborador melhora.\",en:\"Data shows where to act — and the employee experience improves.\",zh:\"数据指明行动方向 —— 员工体验随之提升。\"}, kpis:[{num:\"+CSAT\",cap:{pt:\"satisfação medida\",en:\"satisfaction measured\",zh:\"满意度可量\"}}]}\n ]},\n {hue:\"#4de0a1\", name:{pt:\"Supply & Operações\",en:\"Supply & Operations\",zh:\"供应链与运营\"}, tagline:{pt:\"Transformar sobra de estoque em plano de produção priorizado — em minutos, não semanas. Cada peça, um módulo Data².\",en:\"Turn leftover stock into a prioritized production plan — in minutes, not weeks. Each piece, a Data² module.\",zh:\"把过剩库存变成有优先级的生产计划 —— 只需几分钟，而非数周。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m6\", label:{pt:\"Cenários\",en:\"Scenarios\",zh:\"情景\"}, title:{pt:\"Simulação de cenários de produção\",en:\"Production scenario simulation\",zh:\"生产情景模拟\"}, desc:{pt:\"Rode dezenas de cenários 'e se' sobre o dado real de estoque e demanda — e compare resultados lado a lado.\",en:\"Run dozens of 'what-if' scenarios over real stock and demand data — and compare results side by side.\",zh:\"基于真实库存与需求数据运行数十种'假设'情景 —— 并逐一对比结果。\"}, points:[{pt:\"Parâmetros ajustáveis pela área\",en:\"Parameters adjustable by the team\",zh:\"参数由业务团队调整\"},{pt:\"Cálculo sobre dado vivo do data lake\",en:\"Computed over live data-lake data\",zh:\"基于数据湖实时数据计算\"},{pt:\"Comparação de cenários lado a lado\",en:\"Side-by-side scenario comparison\",zh:\"情景并排对比\"},{pt:\"Do cenário ao plano em um clique\",en:\"From scenario to plan in one click\",zh:\"一键从情景到计划\"}], oldModel:{pt:\"Cada simulação é uma planilha nova, feita à mão — e ninguém confia no número.\",en:\"Each simulation is a new hand-made spreadsheet — and no one trusts the number.\",zh:\"每次模拟都是一张新的手工表格 —— 没人信得过那个数字。\"}, withData2:{pt:\"Cenários em minutos sobre o dado real, comparáveis e auditáveis.\",en:\"Scenarios in minutes over real data, comparable and auditable.\",zh:\"几分钟内基于真实数据生成情景，可对比、可审计。\"}, kpis:[{num:\"5min\",cap:{pt:\"por cenário\",en:\"per scenario\",zh:\"每个情景\"}}]},\n {motif:\"m3\", label:{pt:\"Estrutura (BOM)\",en:\"BOM\",zh:\"物料清单\"}, title:{pt:\"Explosão de estrutura (BOM)\",en:\"Bill-of-materials explosion\",zh:\"物料清单（BOM）展开\"}, desc:{pt:\"A partir de um produto, o Rush explode toda a árvore de componentes — recursivamente, com quantidades.\",en:\"From a product, Rush explodes the whole component tree — recursively, with quantities.\",zh:\"从一个成品出发，Rush 递归展开整棵组件树 —— 带数量。\"}, points:[{pt:\"Explosão recursiva multi-nível\",en:\"Recursive multi-level explosion\",zh:\"多层级递归展开\"},{pt:\"Quantidades e perdas por etapa\",en:\"Quantities and losses per step\",zh:\"每步的用量与损耗\"},{pt:\"Disponibilidade cruzada com estoque\",en:\"Cross-checked with stock availability\",zh:\"与库存可用量交叉核对\"},{pt:\"Reprocessamento em tempo real\",en:\"Real-time recomputation\",zh:\"实时重算\"}], oldModel:{pt:\"Explodir uma BOM à mão leva dias e erra — e some quando o engenheiro sai.\",en:\"Exploding a BOM by hand takes days and errs — and vanishes when the engineer leaves.\",zh:\"手工展开 BOM 耗时数天且易错 —— 工程师一走就没了。\"}, withData2:{pt:\"A estrutura explode sozinha, com quantidades e disponibilidade, em segundos.\",en:\"The structure explodes itself, with quantities and availability, in seconds.\",zh:\"结构自动展开，带数量与可用量，只需数秒。\"}, kpis:[{num:\"−95%\",cap:{pt:\"tempo de cálculo\",en:\"calc time\",zh:\"计算时间\"}}]},\n {motif:\"m1\", label:{pt:\"Score\",en:\"Score\",zh:\"评分\"}, title:{pt:\"Score de economia e viabilidade\",en:\"Savings & feasibility scoring\",zh:\"节省与可行性评分\"}, desc:{pt:\"Cada plano recebe um score de economia potencial e de viabilidade — para priorizar o que vale a pena.\",en:\"Each plan gets a score for potential savings and feasibility — to prioritize what's worth it.\",zh:\"每个计划都获得潜在节省与可行性评分 —— 优先执行最值得的方案。\"}, points:[{pt:\"Score de economia por cenário\",en:\"Savings score per scenario\",zh:\"每情景节省评分\"},{pt:\"Viabilidade por restrição de capacidade\",en:\"Feasibility by capacity constraints\",zh:\"按产能约束评估可行性\"},{pt:\"Ranking automático de prioridade\",en:\"Automatic priority ranking\",zh:\"自动优先级排序\"},{pt:\"Regras de negócio configuráveis\",en:\"Configurable business rules\",zh:\"可配置业务规则\"}], oldModel:{pt:\"Prioridade definida por intuição; oportunidades de economia passam batido.\",en:\"Priority set by intuition; savings opportunities slip by.\",zh:\"优先级靠直觉；节省机会白白溜走。\"}, withData2:{pt:\"O sistema ranqueia por economia e viabilidade — a área age no que rende mais.\",en:\"The system ranks by savings and feasibility — the team acts on what pays most.\",zh:\"系统按节省与可行性排序 —— 团队优先处理最有回报的。\"}, kpis:[{num:\"×10\",cap:{pt:\"oportunidades vistas\",en:\"opportunities surfaced\",zh:\"发现的机会\"}}]},\n {motif:\"m2\", label:{pt:\"SQL self-service\",en:\"Self-service SQL\",zh:\"自助 SQL\"}, title:{pt:\"SQL self-service sobre o data lake\",en:\"Self-service SQL over the data lake\",zh:\"面向数据湖的自助 SQL\"}, desc:{pt:\"A área consulta o data lake direto — em SQL ou em linguagem natural — sem abrir chamado para o time de dados.\",en:\"The team queries the data lake directly — in SQL or natural language — with no ticket to the data team.\",zh:\"业务团队直接查询数据湖 —— 用 SQL 或自然语言 —— 无需向数据团队开工单。\"}, points:[{pt:\"Conexão governada ao data lake (Databricks)\",en:\"Governed connection to the data lake (Databricks)\",zh:\"受治理地连接数据湖（Databricks）\"},{pt:\"Consulta em SQL ou linguagem natural\",en:\"Query in SQL or natural language\",zh:\"用 SQL 或自然语言查询\"},{pt:\"Resultados em tabela e gráfico\",en:\"Results as table and chart\",zh:\"结果以表格与图表呈现\"},{pt:\"Permissões por perfil de acesso\",en:\"Permissions by access profile\",zh:\"按访问权限授权\"}], oldModel:{pt:\"Toda pergunta vira chamado para o time de dados; a resposta chega dias depois.\",en:\"Every question becomes a ticket to the data team; the answer arrives days later.\",zh:\"每个问题都变成给数据团队的工单；答案数天后才到。\"}, withData2:{pt:\"A própria área pergunta e recebe na hora — sem fila, com governança.\",en:\"The team asks and gets it instantly — no queue, with governance.\",zh:\"业务团队自行提问即时得到结果 —— 无排队、有治理。\"}, kpis:[{num:\"0\",cap:{pt:\"chamados ao time de dados\",en:\"tickets to the data team\",zh:\"给数据团队的工单\"}}]},\n {motif:\"m7\", label:{pt:\"Exportação\",en:\"Export\",zh:\"导出\"}, title:{pt:\"Exportação para planilha\",en:\"Export to spreadsheet\",zh:\"导出到表格\"}, desc:{pt:\"Qualquer plano ou consulta vira planilha ou relatório com um clique — para compartilhar com quem ainda vive no Excel.\",en:\"Any plan or query becomes a spreadsheet or report in one click — to share with whoever still lives in Excel.\",zh:\"任何计划或查询一键变成表格或报表 —— 分享给仍离不开 Excel 的人。\"}, points:[{pt:\"Export em um clique (XLSX/CSV)\",en:\"One-click export (XLSX/CSV)\",zh:\"一键导出（XLSX/CSV）\"},{pt:\"Relatórios formatados prontos\",en:\"Ready formatted reports\",zh:\"格式化报表即取即用\"},{pt:\"Agendamento de envios recorrentes\",en:\"Scheduled recurring sends\",zh:\"定时循环发送\"},{pt:\"Histórico de versões exportadas\",en:\"Version history of exports\",zh:\"导出版本历史\"}], oldModel:{pt:\"Copiar e colar entre sistemas e planilhas — retrabalho e erro garantidos.\",en:\"Copy-paste between systems and spreadsheets — guaranteed rework and error.\",zh:\"在系统与表格间复制粘贴 —— 返工与错误在所难免。\"}, withData2:{pt:\"Um clique gera a planilha certa, sempre atualizada.\",en:\"One click generates the right spreadsheet, always up to date.\",zh:\"一键生成正确的表格，始终最新。\"}, kpis:[{num:\"1\",cap:{pt:\"clique para exportar\",en:\"click to export\",zh:\"点击即导出\"}}]}\n ]},\n {hue:\"#e8b84d\", name:{pt:\"Serviços Financeiros\",en:\"Financial Services\",zh:\"金融服务\"}, tagline:{pt:\"Prospecção 1-a-1 personalizada por AI, em escala de milhares — operada pelo próprio time comercial. Cada peça, um módulo Data².\",en:\"AI-personalized 1-to-1 outreach at a scale of thousands — run by the commercial team itself. Each piece, a Data² module.\",zh:\"AI 一对一个性化触达，规模可达数千 —— 由商务团队自己操盘。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m3\", label:{pt:\"CRM + outreach\",en:\"CRM + outreach\",zh:\"CRM + 触达\"}, title:{pt:\"CRM + automação de outreach\",en:\"CRM + outreach automation\",zh:\"CRM + 触达自动化\"}, desc:{pt:\"Um CRM próprio da área com automação de prospecção — leads, estágios e cadências, tudo num sistema só.\",en:\"The team's own CRM with outreach automation — leads, stages and cadences, all in one system.\",zh:\"业务团队自有的 CRM，内置触达自动化 —— 线索、阶段与节奏，尽在一个系统。\"}, points:[{pt:\"Base de leads com estágios e dono\",en:\"Lead base with stages and owner\",zh:\"含阶段与负责人的线索库\"},{pt:\"Cadências de contato automatizadas\",en:\"Automated contact cadences\",zh:\"自动化联系节奏\"},{pt:\"Regras de disparo por evento (Rush)\",en:\"Event-triggered sending (Rush)\",zh:\"按事件触发发送（Rush）\"},{pt:\"Histórico completo por lead\",en:\"Full history per lead\",zh:\"每条线索完整历史\"}], oldModel:{pt:\"Prospecção em planilha + envio manual — sem escala e sem rastreio.\",en:\"Outreach in a spreadsheet + manual sending — no scale, no tracking.\",zh:\"用表格做触达 + 手动发送 —— 无规模、无追踪。\"}, withData2:{pt:\"O CRM dispara a cadência certa sozinho e registra tudo.\",en:\"The CRM fires the right cadence on its own and logs everything.\",zh:\"CRM 自动触发正确节奏并记录一切。\"}, kpis:[{num:\"1000s\",cap:{pt:\"leads em cadência\",en:\"leads in cadence\",zh:\"进入节奏的线索\"}}]},\n {motif:\"m1\", label:{pt:\"Ondas omnichannel\",en:\"Omnichannel waves\",zh:\"全渠道波次\"}, title:{pt:\"Ondas de mensagens omnichannel\",en:\"Omnichannel message waves\",zh:\"全渠道消息波次\"}, desc:{pt:\"Campanhas em ondas por e-mail, WhatsApp e SMS — com controle de volume, horário e resposta.\",en:\"Wave campaigns over email, WhatsApp and SMS — with control of volume, timing and reply.\",zh:\"通过邮件、WhatsApp 与短信分波次投放 —— 掌控数量、时机与回复。\"}, points:[{pt:\"Disparo em ondas com controle de volume\",en:\"Wave sending with volume control\",zh:\"分波次发送并控制数量\"},{pt:\"E-mail, WhatsApp e SMS no mesmo fluxo\",en:\"Email, WhatsApp and SMS in one flow\",zh:\"邮件、WhatsApp 与短信统一流程\"},{pt:\"Janela de horário e frequência\",en:\"Time window and frequency\",zh:\"时间窗口与频次\"},{pt:\"Captura de respostas de volta ao CRM\",en:\"Replies captured back into the CRM\",zh:\"回复自动回流至 CRM\"}], oldModel:{pt:\"Disparo em massa único, sem ritmo — vira spam e queima a base.\",en:\"A single mass blast, no rhythm — becomes spam and burns the base.\",zh:\"一次性群发、毫无节奏 —— 沦为垃圾信息并烧毁客户池。\"}, withData2:{pt:\"Ondas ritmadas e multicanal — mais entrega, menos queima.\",en:\"Paced, multichannel waves — more delivery, less burn.\",zh:\"有节奏的多渠道波次 —— 送达更高、损耗更低。\"}, kpis:[{num:\"3\",cap:{pt:\"canais num fluxo\",en:\"channels in one flow\",zh:\"渠道合一\"}}]},\n {motif:\"m5\", label:{pt:\"Copy por AI\",en:\"AI copy\",zh:\"AI 文案\"}, title:{pt:\"Copy gerada por AI no tom do lead\",en:\"AI-written copy in the lead's tone\",zh:\"以客户口吻由 AI 撰写文案\"}, desc:{pt:\"A AI escreve cada mensagem no tom e no contexto de cada lead — personalização real, não 'Olá [NOME]'.\",en:\"AI writes each message in each lead's tone and context — real personalization, not 'Hi [NAME]'.\",zh:\"AI 依据每位客户的语气与情境撰写每条消息 —— 真正的个性化，而非'你好 [姓名]'。\"}, points:[{pt:\"Geração de copy por AI multimodal\",en:\"Copy generation via multimodal AI\",zh:\"多模态 AI 生成文案\"},{pt:\"Personalização por perfil e histórico\",en:\"Personalization by profile and history\",zh:\"按画像与历史个性化\"},{pt:\"Tom e idioma ajustáveis\",en:\"Adjustable tone and language\",zh:\"可调语气与语言\"},{pt:\"Aprovação humana antes do envio\",en:\"Human approval before sending\",zh:\"发送前人工审批\"}], oldModel:{pt:\"Template único para todos — genérico, ignorado, baixa resposta.\",en:\"One template for everyone — generic, ignored, low reply.\",zh:\"所有人一个模板 —— 千篇一律、被无视、回复率低。\"}, withData2:{pt:\"Cada lead recebe uma mensagem que parece escrita só para ele.\",en:\"Each lead gets a message that feels written just for them.\",zh:\"每位客户收到的消息，仿佛专为他而写。\"}, kpis:[{num:\"+2×\",cap:{pt:\"taxa de resposta\",en:\"reply rate\",zh:\"回复率\"}}]},\n {motif:\"m6\", label:{pt:\"Proposta & ROI\",en:\"Offer & ROI\",zh:\"方案与 ROI\"}, title:{pt:\"Modelagem de proposta e ROI\",en:\"Offer & ROI modeling\",zh:\"方案与 ROI 建模\"}, desc:{pt:\"Simule propostas e mostre o ROI para o cliente na hora — números que fecham negócio.\",en:\"Simulate offers and show the client the ROI on the spot — numbers that close deals.\",zh:\"即时模拟方案并向客户展示 ROI —— 用数字促成交易。\"}, points:[{pt:\"Simulador de proposta com parâmetros\",en:\"Offer simulator with parameters\",zh:\"带参数的方案模拟器\"},{pt:\"Cálculo de ROI e payback\",en:\"ROI and payback calculation\",zh:\"ROI 与回收期计算\"},{pt:\"Comparação de opções para o cliente\",en:\"Option comparison for the client\",zh:\"为客户对比多种选项\"},{pt:\"Proposta exportável em PDF\",en:\"Offer exportable to PDF\",zh:\"方案可导出 PDF\"}], oldModel:{pt:\"Proposta feita à mão depois da reunião — o timing passa e o lead esfria.\",en:\"Offer built by hand after the meeting — the timing passes and the lead cools.\",zh:\"会后手工制作方案 —— 时机已过，客户变冷。\"}, withData2:{pt:\"Proposta e ROI na hora, dentro da conversa — o lead decide quente.\",en:\"Offer and ROI on the spot, inside the conversation — the lead decides while hot.\",zh:\"对话中即时给出方案与 ROI —— 趁热促成决策。\"}, kpis:[{num:\"1\",cap:{pt:\"reunião para fechar\",en:\"meeting to close\",zh:\"一次会议成交\"}}]},\n {motif:\"m2\", label:{pt:\"SSO\",en:\"SSO\",zh:\"单点登录\"}, title:{pt:\"SSO corporativo\",en:\"Corporate SSO\",zh:\"企业单点登录（SSO）\"}, desc:{pt:\"Login integrado ao provedor de identidade da empresa — seguro, auditável e sem senha nova.\",en:\"Login integrated with the company's identity provider — secure, auditable, no new password.\",zh:\"与企业身份提供商集成的登录 —— 安全、可审计、无需新密码。\"}, points:[{pt:\"Integração com IdP corporativo (SSO/SAML/OAuth)\",en:\"Corporate IdP integration (SSO/SAML/OAuth)\",zh:\"对接企业 IdP（SSO/SAML/OAuth）\"},{pt:\"Perfis e permissões por papel\",en:\"Roles and permissions by profile\",zh:\"按角色的权限配置\"},{pt:\"Trilhas de auditoria de acesso\",en:\"Access audit trails\",zh:\"访问审计日志\"},{pt:\"Provisionamento e revogação central\",en:\"Central provisioning and revocation\",zh:\"集中开通与撤销\"}], oldModel:{pt:\"Mais um sistema, mais uma senha — e um buraco de segurança e compliance.\",en:\"One more system, one more password — and a security and compliance hole.\",zh:\"又一个系统、又一个密码 —— 还多一个安全与合规漏洞。\"}, withData2:{pt:\"Entra com a identidade da empresa — seguro e auditável desde o primeiro dia.\",en:\"Sign in with the company identity — secure and auditable from day one.\",zh:\"用企业身份登录 —— 从第一天起即安全可审计。\"}, kpis:[{num:\"SSO\",cap:{pt:\"sem senha nova\",en:\"no new password\",zh:\"无需新密码\"}}]}\n ]},\n {hue:\"#4ddfe6\", name:{pt:\"CX & Contact Center\",en:\"CX & Contact Center\",zh:\"客户体验与呼叫中心\"}, tagline:{pt:\"Um contact center inteiro, funcionando como um sistema vivo — cada componente é um módulo Data². Passe o mouse. Role para os detalhes.\",en:\"An entire contact center, running as a living system — each component is a Data² module. Hover. Scroll for the details.\",zh:\"一个完整的呼叫中心，如同一个活的系统在运行 —— 每个组件都是一个 Data² 模块。悬停查看，下滚了解详情。\"}, layout:[[108,86],[345,38],[355,236],[612,84],[556,246]], comps:[\n {motif:\"m0\", label:{pt:\"Webchat\",en:\"Webchat\",zh:\"网页聊天\"}, title:{pt:\"Webchat omnichannel\",en:\"Omnichannel webchat\",zh:\"全渠道网页聊天\"}, desc:{pt:\"Um widget no seu site conversa no mesmo fluxo que WhatsApp, voz e e-mail. O cliente começa onde quiser e a conversa nunca se perde.\",en:\"A widget on your site talks in the same flow as WhatsApp, voice and email. Customers start anywhere and the conversation is never lost.\",zh:\"网站挂件与 WhatsApp、语音和邮件处于同一流程。客户可从任何渠道开始，对话永不丢失。\"}, points:[{pt:\"Widget embutido via iframe + websockets\",en:\"Embedded widget via iframe + websockets\",zh:\"通过 iframe + websockets 嵌入挂件\"},{pt:\"Ponte com provedor de mensageria e voz (CPaaS)\",en:\"Bridge to a messaging/voice provider (CPaaS)\",zh:\"对接消息/语音服务商（CPaaS）\"},{pt:\"Sessões, mensagens e transferências unificadas por cliente\",en:\"Sessions, messages and transfers unified per customer\",zh:\"按客户统一会话、消息与转接\"},{pt:\"Continuidade de contexto ao trocar de canal\",en:\"Context continuity across channels\",zh:\"跨渠道保持上下文连续\"}], oldModel:{pt:\"Canais soltos, sem histórico compartilhado. O cliente repete tudo a cada troca; o atendente trabalha às cegas.\",en:\"Disconnected channels, no shared history. Customers repeat everything on each switch; agents work blind.\",zh:\"渠道割裂、无共享历史。客户每次切换都要重复，坐席只能盲目应对。\"}, withData2:{pt:\"Um só fluxo, um só histórico. Menos repetição, respostas mais rápidas, e o cliente começa onde for mais fácil.\",en:\"One flow, one history. Less repetition, faster answers, and customers start wherever is easiest.\",zh:\"统一流程、统一历史。更少重复、更快响应，客户从最方便的渠道开始。\"}, kpis:[{num:\"100k+\",cap:{pt:\"atendimentos/dia\",en:\"interactions/day\",zh:\"次服务/天\"}}]},\n {motif:\"m1\", label:{pt:\"Bot de triagem\",en:\"Triage bot\",zh:\"分流机器人\"}, title:{pt:\"Bot de triagem com AI\",en:\"AI triage bot\",zh:\"AI 分流机器人\"}, desc:{pt:\"A AI entende a intenção, resolve na hora o que é simples e classifica o resto para a fila certa — antes de qualquer humano tocar.\",en:\"AI reads intent, instantly resolves the simple, and routes the rest to the right queue — before any human touches it.\",zh:\"AI 理解意图，即时解决简单问题，并将其余分流到正确队列 —— 无需任何人工介入。\"}, points:[{pt:\"Detecção de caso de uso por AI\",en:\"AI use-case detection\",zh:\"AI 用例识别\"},{pt:\"Fluxos guiados: cancelamento, troca, reembolso, atraso\",en:\"Guided flows: cancel, exchange, refund, delay\",zh:\"引导式流程：取消、换货、退款、延迟\"},{pt:\"Leitura de imagem e classificação de texto livre\",en:\"Image reading and free-text classification\",zh:\"图像识别与自由文本分类\"},{pt:\"Abertura de ticket no CRM externo\",en:\"Ticket creation in the external CRM\",zh:\"在外部 CRM 中创建工单\"}], oldModel:{pt:\"Todo contato cai na fila humana, até os triviais. A fila cresce e o custo por contato dispara.\",en:\"Every contact hits the human queue, even trivial ones. The queue grows and cost-per-contact soars.\",zh:\"所有联系都进入人工队列，连琐事也是。队列膨胀，单次联系成本飙升。\"}, withData2:{pt:\"A AI resolve o repetitivo na hora e só encaminha o que precisa de gente — menos fila, menos custo, 24/7.\",en:\"AI resolves the repetitive instantly and only routes what needs a human — less queue, less cost, 24/7.\",zh:\"AI 即时解决重复问题，只转交需人工的部分 —— 更短队列、更低成本、7×24。\"}, kpis:[{num:\"−50%\",cap:{pt:\"tempo de resolução\",en:\"resolution time\",zh:\"解决时间\"}}]},\n {motif:\"m2\", label:{pt:\"Transbordo\",en:\"Handoff\",zh:\"转接\"}, title:{pt:\"Transbordo bot → humano\",en:\"Bot → human handoff\",zh:\"机器人 → 人工转接\"}, desc:{pt:\"Quando o humano precisa entrar, entra com todo o histórico e o contexto na mão. Zero 'reconte tudo de novo'.\",en:\"When a human is needed, they step in with the full history and context in hand. Zero 'tell me everything again'.\",zh:\"当需要人工时，坐席携带完整历史与上下文接手。无需'重新说一遍'。\"}, points:[{pt:\"Handoff com histórico e contexto completos\",en:\"Handoff with full history and context\",zh:\"携带完整历史与上下文的转接\"},{pt:\"Transferência entre filas e times\",en:\"Transfer across queues and teams\",zh:\"跨队列与团队转接\"},{pt:\"Detecção de inatividade e abandono\",en:\"Inactivity and abandonment detection\",zh:\"闲置与弃单检测\"},{pt:\"Respostas prontas + atalhos do atendente\",en:\"Canned replies + agent shortcuts\",zh:\"预设回复 + 坐席快捷方式\"}], oldModel:{pt:\"A passagem pro humano perde o contexto. 'Me conta tudo de novo' vira regra e a satisfação despenca.\",en:\"The handoff loses context. 'Tell me everything again' becomes the rule and satisfaction drops.\",zh:\"转人工时丢失上下文。'请再说一遍'成常态，满意度骤降。\"}, withData2:{pt:\"O atendente entra com histórico e contexto completos. Transição invisível pro cliente.\",en:\"The agent steps in with full history and context. An invisible transition for the customer.\",zh:\"坐席携带完整历史与上下文接手。对客户而言，转接无感。\"}, kpis:[{num:\"100%\",cap:{pt:\"do contexto preservado\",en:\"context preserved\",zh:\"上下文保留\"}}]},\n {motif:\"m3\", label:{pt:\"Console\",en:\"Console\",zh:\"控制台\"}, title:{pt:\"Console de agente + supervisor\",en:\"Agent workspace + supervisor console\",zh:\"坐席工作台 + 主管控制台\"}, desc:{pt:\"Fila, transferências, status dos agentes e supervisão ao vivo — tudo num painel só, sobre o dado real da operação.\",en:\"Queue, transfers, agent status and live supervision — all in one console, over the operation's real data.\",zh:\"队列、转接、坐席状态与实时督导 —— 全部集于一个控制台，基于运营真实数据。\"}, points:[{pt:\"Workspace do agente: status, presets, chatrooms\",en:\"Agent workspace: status, presets, chatrooms\",zh:\"坐席工作台：状态、预设、聊天室\"},{pt:\"Console do supervisor: fila e métricas ao vivo\",en:\"Supervisor console: live queue and metrics\",zh:\"主管控制台：实时队列与指标\"},{pt:\"Classificação de transferências\",en:\"Transfer classification\",zh:\"转接分类\"},{pt:\"Fechamentos mensais e sync de metadados\",en:\"Monthly closings and metadata sync\",zh:\"月度结算与元数据同步\"}], oldModel:{pt:\"Supervisão por planilha e telas espalhadas. Ninguém enxerga a operação ao vivo; decisão no achismo.\",en:\"Supervision by spreadsheet and scattered screens. No one sees the live operation; decisions by guesswork.\",zh:\"靠表格与零散界面督导。无人实时掌控，决策靠猜。\"}, withData2:{pt:\"Uma tela com fila, status, transferências e métricas ao vivo — decisão sobre o dado real.\",en:\"One screen with live queue, status, transfers and metrics — decisions on real data.\",zh:\"一屏掌握实时队列、状态、转接与指标 —— 基于真实数据决策。\"}, kpis:[{num:\"1\",cap:{pt:\"tela para toda a operação\",en:\"screen for the whole operation\",zh:\"一屏掌控全局\"}}]},\n {motif:\"m4\", label:{pt:\"Filas & CSAT\",en:\"Queues & CSAT\",zh:\"队列与 CSAT\"}, title:{pt:\"Automação de filas & CSAT\",en:\"Queue automation & CSAT\",zh:\"队列自动化与满意度（CSAT）\"}, desc:{pt:\"Filas que se auto-gerenciam: detecção de abandono, repriorização e pesquisa de satisfação disparada na hora certa.\",en:\"Self-managing queues: abandonment detection, re-prioritization and CSAT surveys fired at the right moment.\",zh:\"自我管理的队列：弃单检测、重新优先级排序，并在恰当时机发起满意度调查。\"}, points:[{pt:\"Agendadores (Rush) mantêm a fila saudável\",en:\"Schedulers (Rush) keep the queue healthy\",zh:\"调度器（Rush）维持队列健康\"},{pt:\"Detecção de abandono + auto-cura da fila\",en:\"Abandonment detection + queue self-healing\",zh:\"弃单检测 + 队列自愈\"},{pt:\"CSAT disparado no momento certo\",en:\"CSAT fired at the right moment\",zh:\"在恰当时机发起 CSAT\"},{pt:\"Analytics de custo por caso de uso + export\",en:\"Cost analytics by use-case + export\",zh:\"按用例的成本分析 + 导出\"}], oldModel:{pt:\"Filas travadas por transferências esquecidas e abandono não detectado. Satisfação medida tarde ou nunca.\",en:\"Queues stuck by forgotten transfers and undetected abandonment. Satisfaction measured late, or never.\",zh:\"队列被遗忘的转接与未检测的弃单拖垮。满意度测得太晚，甚至从不测。\"}, withData2:{pt:\"Rush mantém a fila saudável sozinho e dispara o CSAT na hora certa — melhoria contínua com dado.\",en:\"Rush keeps the queue healthy on its own and fires CSAT at the right time — continuous improvement, data-driven.\",zh:\"Rush 自动维持队列健康，并在恰当时机发起 CSAT —— 数据驱动的持续改进。\"}, kpis:[{num:\"85%\",cap:{pt:\"retenção\",en:\"retention\",zh:\"留存率\"}},{num:\"+26\",cap:{pt:\"NPS\",en:\"NPS\",zh:\"NPS\"}}]}\n ]},\n {hue:\"#ff4d9e\", name:{pt:\"Varejo & E-commerce\",en:\"Retail & E-commerce\",zh:\"零售与电商\"}, tagline:{pt:\"Da vitrine ao ERP: experiências de compra sob medida, com os dados reais do seu e-commerce. Cada peça, um módulo Data².\",en:\"From storefront to ERP: tailor-made buying experiences, with your e-commerce's real data. Each piece, a Data² module.\",zh:\"从门店到 ERP：量身定制的购物体验，用你电商的真实数据驱动。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m6\", label:{pt:\"Catálogo\",en:\"Catalog\",zh:\"目录\"}, title:{pt:\"Experiências de catálogo e produto\",en:\"Catalog & product experiences\",zh:\"目录与商品体验\"}, desc:{pt:\"Vitrines, páginas de produto e coleções montadas pela área — com o catálogo real, sempre sincronizado.\",en:\"Storefronts, product pages and collections built by the team — with the real catalog, always in sync.\",zh:\"由业务团队搭建的门店、商品页与专题 —— 使用真实目录，始终同步。\"}, points:[{pt:\"Páginas de produto sobre catálogo real\",en:\"Product pages over the real catalog\",zh:\"基于真实目录的商品页\"},{pt:\"Coleções e curadoria pela área\",en:\"Collections and curation by the team\",zh:\"由团队策划专题与选品\"},{pt:\"Busca e filtros configuráveis\",en:\"Configurable search and filters\",zh:\"可配置搜索与筛选\"},{pt:\"Publicação sem depender de TI\",en:\"Publish without depending on IT\",zh:\"发布无需依赖 IT\"}], oldModel:{pt:\"Cada campanha depende da fila de TI; a vitrine nunca acompanha o momento.\",en:\"Every campaign waits in the IT queue; the storefront never keeps up with the moment.\",zh:\"每次活动都要排 IT 队列；门店永远跟不上节奏。\"}, withData2:{pt:\"A área publica a vitrine que quiser, na hora, com o dado real.\",en:\"The team publishes any storefront it wants, instantly, with real data.\",zh:\"团队即时发布想要的门店，用真实数据。\"}, kpis:[{num:\"live\",cap:{pt:\"catálogo sincronizado\",en:\"catalog in sync\",zh:\"目录实时同步\"}}]},\n {motif:\"m1\", label:{pt:\"VTEX / GraphQL\",en:\"VTEX / GraphQL\",zh:\"VTEX / GraphQL\"}, title:{pt:\"Integração VTEX / GraphQL\",en:\"VTEX / GraphQL integration\",zh:\"VTEX / GraphQL 集成\"}, desc:{pt:\"Conexão direta com a plataforma de e-commerce — produtos, preços e estoque ao vivo via GraphQL.\",en:\"Direct connection to the e-commerce platform — live products, prices and stock via GraphQL.\",zh:\"与电商平台直连 —— 通过 GraphQL 获取实时商品、价格与库存。\"}, points:[{pt:\"Cliente HTTP para VTEX / GraphQL\",en:\"HTTP client for VTEX / GraphQL\",zh:\"面向 VTEX / GraphQL 的 HTTP 客户端\"},{pt:\"Produtos, preços e estoque ao vivo\",en:\"Live products, prices and stock\",zh:\"实时商品、价格与库存\"},{pt:\"Parametrização de queries por variável\",en:\"Query parametrization by variable\",zh:\"按变量参数化查询\"},{pt:\"Cache e resiliência a falhas\",en:\"Caching and failure resilience\",zh:\"缓存与容错\"}], oldModel:{pt:\"Dados de produto colados à mão ou defasados — preço errado, venda perdida.\",en:\"Product data pasted by hand or stale — wrong price, lost sale.\",zh:\"商品数据靠手工粘贴或已过期 —— 价格出错、错失销售。\"}, withData2:{pt:\"Tudo ao vivo, direto da fonte — preço e estoque sempre certos.\",en:\"Everything live, straight from the source — price and stock always right.\",zh:\"一切实时、直取源头 —— 价格与库存始终准确。\"}, kpis:[{num:\"real-time\",cap:{pt:\"preço & estoque\",en:\"price & stock\",zh:\"价格与库存\"}}]},\n {motif:\"m5\", label:{pt:\"Estúdio de foto\",en:\"Photo studio\",zh:\"影像工作室\"}, title:{pt:\"Estúdio de foto com AI\",en:\"AI photo studio\",zh:\"AI 影像工作室\"}, desc:{pt:\"Gere fotos de produto e cenas com AI — try-on, ângulos e catálogo, sem estúdio físico.\",en:\"Generate product photos and scenes with AI — try-on, angles and catalog, no physical studio.\",zh:\"用 AI 生成商品照片与场景 —— 试穿、角度与目录，无需实体影棚。\"}, points:[{pt:\"Geração de imagem por AI (multimodal)\",en:\"Image generation via AI (multimodal)\",zh:\"多模态 AI 图像生成\"},{pt:\"Try-on e cenas configuráveis\",en:\"Try-on and configurable scenes\",zh:\"试穿与可配置场景\"},{pt:\"Múltiplos ângulos a partir de uma foto\",en:\"Multiple angles from one photo\",zh:\"由一张照片生成多角度\"},{pt:\"Storage e distribuição de mídia (MEDIA)\",en:\"Media storage and distribution (MEDIA)\",zh:\"媒体存储与分发（MEDIA）\"}], oldModel:{pt:\"Cada foto exige estúdio, modelo e dias de produção — caro e lento.\",en:\"Every photo needs a studio, a model and days of production — costly and slow.\",zh:\"每张照片都需影棚、模特与数天制作 —— 昂贵又缓慢。\"}, withData2:{pt:\"Fotos de qualidade em minutos, a um custo marginal.\",en:\"Quality photos in minutes, at a marginal cost.\",zh:\"几分钟出高质量照片，成本极低。\"}, kpis:[{num:\"−90%\",cap:{pt:\"custo de produção\",en:\"production cost\",zh:\"制作成本\"}}]},\n {motif:\"m3\", label:{pt:\"ERP & loja\",en:\"ERP & store\",zh:\"ERP 与门店\"}, title:{pt:\"ERP e operações de loja\",en:\"ERP & store operations\",zh:\"ERP 与门店运营\"}, desc:{pt:\"Estoque, pedidos, recebimento e produção — o ERP da operação de loja, feito sob medida.\",en:\"Stock, orders, receiving and production — the store operation's ERP, tailor-made.\",zh:\"库存、订单、收货与生产 —— 量身定制的门店运营 ERP。\"}, points:[{pt:\"Estoque e movimentações por local\",en:\"Stock and movements per location\",zh:\"按地点的库存与出入库\"},{pt:\"Pedidos de compra e recebimento\",en:\"Purchase orders and receiving\",zh:\"采购订单与收货\"},{pt:\"Ordens de produção e BOM\",en:\"Production orders and BOM\",zh:\"生产订单与 BOM\"},{pt:\"Fluxos e status configuráveis\",en:\"Configurable flows and statuses\",zh:\"可配置流程与状态\"}], oldModel:{pt:\"ERP genérico que não encaixa na operação — gambiarra em planilha por fora.\",en:\"A generic ERP that doesn't fit the operation — spreadsheet workarounds on the side.\",zh:\"通用 ERP 无法贴合运营 —— 只能在表格里打补丁。\"}, withData2:{pt:\"Um ERP que encaixa exatamente na sua operação — e evolui com ela.\",en:\"An ERP that fits your operation exactly — and evolves with it.\",zh:\"完全贴合你运营的 ERP —— 并随之进化。\"}, kpis:[{num:\"1\",cap:{pt:\"sistema da vitrine ao estoque\",en:\"system from storefront to stock\",zh:\"从门店到库存一体\"}}]}\n ]},\n {hue:\"#9b5cff\", name:{pt:\"Força de Vendas\",en:\"Sales Enablement\",zh:\"销售赋能\"}, tagline:{pt:\"Um copiloto de vendas que diz a cada vendedor a próxima melhor ação — em linguagem natural. Cada peça, um módulo Data².\",en:\"A sales copilot that tells each rep the next best action — in natural language. Each piece, a Data² module.\",zh:\"一个销售副驾，用自然语言告诉每位销售下一步的最佳行动。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m1\", label:{pt:\"Copiloto\",en:\"Copilot\",zh:\"副驾\"}, title:{pt:\"Copiloto de vendas em linguagem natural\",en:\"Sales copilot in natural language\",zh:\"自然语言销售副驾\"}, desc:{pt:\"O vendedor pergunta em português e o copiloto responde sobre carteira, clientes e metas — sobre o dado real.\",en:\"The rep asks in plain language and the copilot answers about portfolio, customers and targets — over real data.\",zh:\"销售用自然语言提问，副驾基于真实数据回答客户组合、客户与目标相关问题。\"}, points:[{pt:\"Chat sobre dado vivo da carteira\",en:\"Chat over the portfolio's live data\",zh:\"基于客户组合实时数据的聊天\"},{pt:\"Respostas com números e fontes\",en:\"Answers with numbers and sources\",zh:\"答案带数字与来源\"},{pt:\"Entende perguntas de negócio\",en:\"Understands business questions\",zh:\"理解业务问题\"},{pt:\"No celular, em campo\",en:\"On mobile, in the field\",zh:\"手机端、可在一线使用\"}], oldModel:{pt:\"O vendedor não acha o dado; ou espera BI, ou decide no escuro.\",en:\"The rep can't find the data; either waits for BI, or decides in the dark.\",zh:\"销售找不到数据；要么等 BI，要么摸黑决策。\"}, withData2:{pt:\"Pergunta e recebe na hora, em campo — decisão com base em dado.\",en:\"Ask and get it instantly, in the field — decisions based on data.\",zh:\"在一线即时提问即时得到答案 —— 基于数据决策。\"}, kpis:[{num:\"NL\",cap:{pt:\"pergunta em linguagem natural\",en:\"ask in natural language\",zh:\"自然语言提问\"}}]},\n {motif:\"m6\", label:{pt:\"Próxima ação\",en:\"Next action\",zh:\"下一步\"}, title:{pt:\"Recomendação de próxima melhor ação\",en:\"Next-best-action recommendation\",zh:\"下一最佳行动推荐\"}, desc:{pt:\"O sistema aponta, por cliente, a próxima ação de maior retorno — quem visitar, o que oferecer, quando.\",en:\"The system points out, per customer, the next highest-return action — who to visit, what to offer, when.\",zh:\"系统针对每位客户指出回报最高的下一步行动 —— 拜访谁、推什么、何时。\"}, points:[{pt:\"Recomendação por cliente e momento\",en:\"Recommendation by customer and timing\",zh:\"按客户与时机推荐\"},{pt:\"Priorização por retorno esperado\",en:\"Prioritization by expected return\",zh:\"按预期回报排序\"},{pt:\"Regras e modelos configuráveis\",en:\"Configurable rules and models\",zh:\"可配置规则与模型\"},{pt:\"Ação a um clique do copiloto\",en:\"Action one click from the copilot\",zh:\"从副驾一键行动\"}], oldModel:{pt:\"Todo cliente tratado igual; o vendedor gasta tempo onde não rende.\",en:\"Every customer treated the same; the rep spends time where it doesn't pay.\",zh:\"所有客户一视同仁；销售把时间花在不出成果的地方。\"}, withData2:{pt:\"Cada visita mira o cliente e a oferta de maior retorno.\",en:\"Every visit targets the customer and offer with the highest return.\",zh:\"每次拜访都瞄准回报最高的客户与方案。\"}, kpis:[{num:\"+20%\",cap:{pt:\"conversão\",en:\"conversion\",zh:\"转化率\"}}]},\n {motif:\"m2\", label:{pt:\"Busca com AI\",en:\"AI search\",zh:\"AI 搜索\"}, title:{pt:\"Busca de clientes e segmentos com AI\",en:\"AI search over customers & segments\",zh:\"面向客户与细分的 AI 搜索\"}, desc:{pt:\"'Me mostre clientes que compraram X e sumiram' — a AI monta o segmento na hora, sem SQL.\",en:\"'Show me customers who bought X and vanished' — AI builds the segment instantly, no SQL.\",zh:\"'找出买过 X 后消失的客户' —— AI 即时生成细分，无需 SQL。\"}, points:[{pt:\"Segmentação por linguagem natural\",en:\"Segmentation by natural language\",zh:\"自然语言细分\"},{pt:\"Busca semântica sobre a base\",en:\"Semantic search over the base\",zh:\"对客户库的语义搜索\"},{pt:\"Salva e reusa segmentos\",en:\"Save and reuse segments\",zh:\"保存并复用细分\"},{pt:\"Aciona ondas de contato a partir do segmento\",en:\"Trigger contact waves from a segment\",zh:\"从细分触发联系波次\"}], oldModel:{pt:\"Segmentar exige o time de dados e um SQL — dias para uma lista.\",en:\"Segmenting needs the data team and SQL — days for a list.\",zh:\"细分需要数据团队与 SQL —— 一张名单要等数天。\"}, withData2:{pt:\"A força monta o segmento em segundos, com uma frase.\",en:\"The field builds the segment in seconds, with one sentence.\",zh:\"一线用一句话数秒生成细分。\"}, kpis:[{num:\"0\",cap:{pt:\"SQL necessário\",en:\"SQL required\",zh:\"无需 SQL\"}}]},\n {motif:\"m4\", label:{pt:\"Performance\",en:\"Performance\",zh:\"业绩\"}, title:{pt:\"Painéis de performance da carteira\",en:\"Portfolio performance dashboards\",zh:\"客户组合业绩仪表盘\"}, desc:{pt:\"Metas, ranking e evolução da carteira ao vivo — para o vendedor e para o gestor, na mesma fonte.\",en:\"Targets, ranking and portfolio evolution live — for the rep and the manager, from the same source.\",zh:\"目标、排名与客户组合演变实时呈现 —— 销售与管理者共用同一数据源。\"}, points:[{pt:\"Metas e realizado por vendedor\",en:\"Target vs actual per rep\",zh:\"每位销售目标 vs 实际\"},{pt:\"Ranking e evolução no tempo\",en:\"Ranking and evolution over time\",zh:\"排名与时间演变\"},{pt:\"Drill-down por cliente e produto\",en:\"Drill-down by customer and product\",zh:\"按客户与商品下钻\"},{pt:\"Mesmo dado para campo e gestão\",en:\"Same data for field and management\",zh:\"一线与管理同源数据\"}], oldModel:{pt:\"Cada um com sua planilha; gestor e vendedor discutem número, não cliente.\",en:\"Everyone with their own spreadsheet; manager and rep argue over numbers, not customers.\",zh:\"各持一张表格；管理者与销售争论数字，而非客户。\"}, withData2:{pt:\"Uma fonte só, ao vivo — a conversa vira sobre o cliente.\",en:\"One live source — the conversation shifts to the customer.\",zh:\"唯一实时数据源 —— 对话回归客户本身。\"}, kpis:[{num:\"1\",cap:{pt:\"fonte de verdade\",en:\"source of truth\",zh:\"唯一真相源\"}}]},\n {motif:\"m5\", label:{pt:\"Conteúdo com AI\",en:\"AI content\",zh:\"AI 内容\"}, title:{pt:\"Geração de conteúdo e imagem com AI\",en:\"AI content & image generation\",zh:\"AI 内容与图像生成\"}, desc:{pt:\"O vendedor gera o material de vendas — texto e imagem — no tom da marca, na hora do contato.\",en:\"The rep generates sales material — text and image — in the brand's tone, at the moment of contact.\",zh:\"销售即时生成销售素材 —— 文本与图像 —— 契合品牌语气。\"}, points:[{pt:\"Geração de texto e imagem por AI\",en:\"AI text and image generation\",zh:\"AI 文本与图像生成\"},{pt:\"No tom e na identidade da marca\",en:\"In the brand's tone and identity\",zh:\"契合品牌语气与识别\"},{pt:\"Personalizado por cliente\",en:\"Personalized per customer\",zh:\"按客户个性化\"},{pt:\"Pronto para enviar em qualquer canal\",en:\"Ready to send on any channel\",zh:\"随时可在任一渠道发送\"}], oldModel:{pt:\"Material genérico do marketing, desatualizado — o vendedor improvisa.\",en:\"Generic, outdated marketing material — the rep improvises.\",zh:\"市场部的通用素材已过时 —— 销售只能临场发挥。\"}, withData2:{pt:\"Conteúdo sob medida na hora, sempre na marca.\",en:\"Tailored content on the spot, always on brand.\",zh:\"即时定制内容，始终契合品牌。\"}, kpis:[{num:\"1\",cap:{pt:\"clique para o material\",en:\"click to material\",zh:\"一键出素材\"}}]}\n ]},\n {hue:\"#84e05a\", name:{pt:\"BI & Analytics\",en:\"BI & Analytics\",zh:\"商业智能与分析\"}, tagline:{pt:\"Do dado vivo ao plano de ação — painéis que a área lê e age, sem exportar pra planilha. Cada peça, um módulo Data².\",en:\"From live data to an action plan — dashboards the team reads and acts on, no spreadsheet export. Each piece, a Data² module.\",zh:\"从实时数据到行动计划 —— 业务团队看得懂、能行动的仪表盘，无需导出表格。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m4\", label:{pt:\"Painéis\",en:\"Dashboards\",zh:\"仪表盘\"}, title:{pt:\"Painéis executivos sobre dado vivo\",en:\"Executive dashboards on live data\",zh:\"基于实时数据的高管仪表盘\"}, desc:{pt:\"KPIs, tendências e drill-down sobre o dado vivo da operação — não um print de ontem.\",en:\"KPIs, trends and drill-down over the operation's live data — not a screenshot from yesterday.\",zh:\"基于运营实时数据的 KPI、趋势与下钻 —— 而非昨天的截图。\"}, points:[{pt:\"KPIs e tendências ao vivo\",en:\"Live KPIs and trends\",zh:\"实时 KPI 与趋势\"},{pt:\"Drill-down por dimensão\",en:\"Drill-down by dimension\",zh:\"按维度下钻\"},{pt:\"Painéis por perfil de usuário\",en:\"Dashboards by user profile\",zh:\"按用户画像定制仪表盘\"},{pt:\"Renderização no servidor (SSR), rápida\",en:\"Server-side rendering (SSR), fast\",zh:\"服务端渲染（SSR），快速\"}], oldModel:{pt:\"Relatório em PDF que nasce velho; decisão sobre foto do passado.\",en:\"A PDF report born stale; decisions on a photo of the past.\",zh:\"生来就过时的 PDF 报表；对着过去的快照做决策。\"}, withData2:{pt:\"Painel vivo, sempre atual — decisão sobre o agora.\",en:\"A live panel, always current — decisions on the now.\",zh:\"实时面板、始终最新 —— 对着当下做决策。\"}, kpis:[{num:\"live\",cap:{pt:\"dado sempre atual\",en:\"always-current data\",zh:\"数据始终最新\"}}]},\n {motif:\"m1\", label:{pt:\"Ingestão\",en:\"Ingestion\",zh:\"数据接入\"}, title:{pt:\"Ingestão diária automatizada\",en:\"Automated daily ingestion\",zh:\"每日自动数据接入\"}, desc:{pt:\"O Rush puxa e consolida os dados todo dia — de Databricks, APIs e planilhas — sem ninguém apertar botão.\",en:\"Rush pulls and consolidates the data every day — from Databricks, APIs and spreadsheets — with no one pressing a button.\",zh:\"Rush 每天自动拉取并整合数据 —— 来自 Databricks、API 与表格 —— 无需任何人点按钮。\"}, points:[{pt:\"Agendadores (Rush) diários\",en:\"Daily schedulers (Rush)\",zh:\"每日调度器（Rush）\"},{pt:\"Fontes: Databricks, APIs, planilhas\",en:\"Sources: Databricks, APIs, spreadsheets\",zh:\"数据源：Databricks、API、表格\"},{pt:\"Consolidação e limpeza automática\",en:\"Automatic consolidation and cleanup\",zh:\"自动整合与清洗\"},{pt:\"Logs e reprocessamento de falhas\",en:\"Logs and failure reprocessing\",zh:\"日志与失败重跑\"}], oldModel:{pt:\"Alguém baixa, junta e corrige planilhas toda manhã — e às vezes esquece.\",en:\"Someone downloads, merges and fixes spreadsheets every morning — and sometimes forgets.\",zh:\"每天早上有人下载、合并并修正表格 —— 有时还会忘。\"}, withData2:{pt:\"Os dados chegam prontos todo dia, sozinhos.\",en:\"The data arrives ready every day, on its own.\",zh:\"数据每天自动就绪。\"}, kpis:[{num:\"0\",cap:{pt:\"trabalho manual diário\",en:\"daily manual work\",zh:\"每日手工\"}}]},\n {motif:\"m3\", label:{pt:\"Metas & plano\",en:\"Targets & plan\",zh:\"目标与计划\"}, title:{pt:\"Metas e plano de ação acompanhados\",en:\"Targets & action plan tracked\",zh:\"目标与行动计划全程追踪\"}, desc:{pt:\"Metas por área e um plano de ação vivo — cada iniciativa com dono, prazo e status, sobre o mesmo dado.\",en:\"Targets per area and a live action plan — each initiative with owner, deadline and status, over the same data.\",zh:\"按部门设定目标 + 实时行动计划 —— 每项举措都有负责人、期限与状态，同源数据。\"}, points:[{pt:\"Metas por área e período\",en:\"Targets by area and period\",zh:\"按部门与周期设目标\"},{pt:\"Plano de ação com dono e prazo\",en:\"Action plan with owner and deadline\",zh:\"含负责人与期限的行动计划\"},{pt:\"Status e progresso ao vivo\",en:\"Live status and progress\",zh:\"实时状态与进度\"},{pt:\"Ligação direta metas ↔ dado\",en:\"Direct link targets ↔ data\",zh:\"目标与数据直接挂钩\"}], oldModel:{pt:\"Metas numa apresentação e plano num e-mail — ninguém acompanha até o fim do tri.\",en:\"Targets in a slide and plan in an email — no one tracks until quarter-end.\",zh:\"目标在幻灯片、计划在邮件 —— 无人跟进，直到季度末。\"}, withData2:{pt:\"Meta, plano e dado num lugar só — acompanhamento contínuo.\",en:\"Target, plan and data in one place — continuous tracking.\",zh:\"目标、计划与数据合一 —— 持续跟进。\"}, kpis:[{num:\"1\",cap:{pt:\"lugar para meta e ação\",en:\"place for target and action\",zh:\"目标与行动一处\"}}]},\n {motif:\"m8\", label:{pt:\"Alertas\",en:\"Alerts\",zh:\"告警\"}, title:{pt:\"Alertas e monitoramento\",en:\"Alerts & monitoring\",zh:\"告警与监控\"}, desc:{pt:\"Regras que vigiam o dado e avisam na hora — por WhatsApp, e-mail ou no painel — quando algo sai do trilho.\",en:\"Rules that watch the data and warn instantly — via WhatsApp, email or in the panel — when something goes off track.\",zh:\"规则守护数据并即时预警 —— 通过 WhatsApp、邮件或面板 —— 一旦偏离轨道即刻通知。\"}, points:[{pt:\"Regras de alerta por limite/variação\",en:\"Alert rules by threshold/variation\",zh:\"按阈值/波动的告警规则\"},{pt:\"Notificação em WhatsApp, e-mail, painel\",en:\"Notification via WhatsApp, email, panel\",zh:\"WhatsApp、邮件、面板通知\"},{pt:\"Detecção de anomalia\",en:\"Anomaly detection\",zh:\"异常检测\"},{pt:\"Histórico e reconhecimento de alertas\",en:\"Alert history and acknowledgment\",zh:\"告警历史与确认\"}], oldModel:{pt:\"O problema só aparece no relatório do mês seguinte — tarde demais.\",en:\"The problem only shows up in next month's report — too late.\",zh:\"问题直到下月报表才浮现 —— 为时已晚。\"}, withData2:{pt:\"O sistema avisa na hora — a área age antes de virar prejuízo.\",en:\"The system warns instantly — the team acts before it becomes a loss.\",zh:\"系统即时预警 —— 团队在其造成损失前行动。\"}, kpis:[{num:\"real-time\",cap:{pt:\"alerta na hora\",en:\"instant alert\",zh:\"即时告警\"}}]}\n ]},\n {hue:\"#ff6a4d\", name:{pt:\"Seguros & CX\",en:\"Insurance & CX\",zh:\"保险与客户体验\"}, tagline:{pt:\"Atendimento que responde na fonte certa — base de conhecimento com busca semântica e triagem por AI. Cada peça, um módulo Data².\",en:\"Support that answers from the right source — a semantic knowledge base with AI triage. Each piece, a Data² module.\",zh:\"从正确来源作答的客服 —— 配备语义知识库与 AI 分流。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m2\", label:{pt:\"Base semântica\",en:\"Semantic KB\",zh:\"语义知识库\"}, title:{pt:\"Base de conhecimento com busca semântica\",en:\"Semantic-search knowledge base\",zh:\"语义搜索知识库\"}, desc:{pt:\"Apólices, cláusulas e FAQs indexadas por significado — encontra a resposta certa mesmo sem a palavra exata.\",en:\"Policies, clauses and FAQs indexed by meaning — finds the right answer even without the exact word.\",zh:\"保单、条款与 FAQ 按语义索引 —— 即使措辞不同也能找到正确答案。\"}, points:[{pt:\"Indexação por embeddings (semantic search)\",en:\"Embedding indexing (semantic search)\",zh:\"向量索引（语义搜索）\"},{pt:\"Busca por significado, não palavra-chave\",en:\"Search by meaning, not keyword\",zh:\"按语义而非关键词搜索\"},{pt:\"Fontes versionadas e atualizáveis\",en:\"Versioned, updatable sources\",zh:\"可版本化、可更新的来源\"},{pt:\"Cobertura multilíngue\",en:\"Multilingual coverage\",zh:\"多语言覆盖\"}], oldModel:{pt:\"O atendente caça em PDFs e intranet — resposta lenta e às vezes errada.\",en:\"The agent hunts through PDFs and the intranet — slow answers, sometimes wrong.\",zh:\"坐席在 PDF 与内网里翻找 —— 回答缓慢，有时出错。\"}, withData2:{pt:\"A resposta certa aparece na hora, ancorada na fonte oficial.\",en:\"The right answer appears instantly, grounded in the official source.\",zh:\"正确答案即时呈现，源自官方来源。\"}, kpis:[{num:\"semantic\",cap:{pt:\"busca por significado\",en:\"search by meaning\",zh:\"按语义搜索\"}}]},\n {motif:\"m1\", label:{pt:\"Triagem\",en:\"Triage\",zh:\"分流\"}, title:{pt:\"Triagem e atendimento com AI\",en:\"AI triage & support\",zh:\"AI 分流与客服\"}, desc:{pt:\"A AI entende o pedido — sinistro, dúvida, 2ª via — resolve o simples e encaminha o resto com contexto.\",en:\"AI understands the request — claim, question, reissue — resolves the simple and routes the rest with context.\",zh:\"AI 理解诉求 —— 理赔、咨询、补发 —— 解决简单问题，其余带上下文分流。\"}, points:[{pt:\"Detecção de intenção e caso de uso\",en:\"Intent and use-case detection\",zh:\"意图与用例识别\"},{pt:\"Resolução automática do simples\",en:\"Automatic resolution of the simple\",zh:\"简单诉求自动解决\"},{pt:\"Roteamento com contexto para o humano\",en:\"Context-rich routing to a human\",zh:\"带上下文转人工\"},{pt:\"Leitura de documentos do segurado\",en:\"Reading the insured's documents\",zh:\"识别投保人文档\"}], oldModel:{pt:\"Todo pedido vira fila humana; o segurado espera por qualquer coisa.\",en:\"Every request becomes a human queue; the insured waits for anything.\",zh:\"所有诉求都进人工队列；投保人事事都要等。\"}, withData2:{pt:\"A AI resolve na hora o que dá e prioriza o que precisa de gente.\",en:\"AI instantly resolves what it can and prioritizes what needs a human.\",zh:\"AI 能解决的即时解决，需人工的优先处理。\"}, kpis:[{num:\"−50%\",cap:{pt:\"tempo de resposta\",en:\"response time\",zh:\"响应时间\"}}]},\n {motif:\"m3\", label:{pt:\"Ancorada na fonte\",en:\"Grounded\",zh:\"源自原文\"}, title:{pt:\"Respostas ancoradas na fonte\",en:\"Answers grounded in the source\",zh:\"答案有据可依，源自原文\"}, desc:{pt:\"Toda resposta cita a cláusula ou o documento de origem — nada de 'a AI inventou'.\",en:\"Every answer cites the source clause or document — no 'the AI made it up'.\",zh:\"每个答案都引用来源条款或文档 —— 杜绝'AI 编造'。\"}, points:[{pt:\"Citação da fonte em cada resposta\",en:\"Source citation in every answer\",zh:\"每个答案标注来源\"},{pt:\"Rastreabilidade cláusula → resposta\",en:\"Traceability clause → answer\",zh:\"条款→答案可追溯\"},{pt:\"Redução de alucinação (grounding)\",en:\"Hallucination reduction (grounding)\",zh:\"降低幻觉（grounding）\"},{pt:\"Conformidade e auditoria\",en:\"Compliance and audit\",zh:\"合规与审计\"}], oldModel:{pt:\"Resposta sem lastro vira risco jurídico e retrabalho.\",en:\"An unsupported answer becomes legal risk and rework.\",zh:\"无依据的回答带来法律风险与返工。\"}, withData2:{pt:\"Cada resposta é rastreável à fonte — confiável e auditável.\",en:\"Every answer is traceable to the source — trustworthy and auditable.\",zh:\"每个答案都可追溯到来源 —— 可信、可审计。\"}, kpis:[{num:\"100%\",cap:{pt:\"respostas com fonte\",en:\"answers with a source\",zh:\"答案均有来源\"}}]},\n {motif:\"m7\", label:{pt:\"Analytics\",en:\"Analytics\",zh:\"分析\"}, title:{pt:\"Analytics de atendimento\",en:\"Support analytics\",zh:\"客服分析\"}, desc:{pt:\"Volume, temas, resolução e satisfação — para melhorar a base e o atendimento continuamente.\",en:\"Volume, topics, resolution and satisfaction — to continuously improve the base and the service.\",zh:\"工单量、主题、解决率与满意度 —— 持续改进知识库与服务。\"}, points:[{pt:\"Métricas de volume e resolução\",en:\"Volume and resolution metrics\",zh:\"工单量与解决率指标\"},{pt:\"Lacunas na base de conhecimento\",en:\"Knowledge-base gaps\",zh:\"知识库缺口\"},{pt:\"Satisfação (CSAT) por tema\",en:\"Satisfaction (CSAT) by topic\",zh:\"按主题的满意度（CSAT）\"},{pt:\"Alertas de pico e degradação\",en:\"Spike and degradation alerts\",zh:\"峰值与劣化告警\"}], oldModel:{pt:\"Não se sabe o que a base não cobre; os mesmos erros se repetem.\",en:\"No one knows what the base doesn't cover; the same errors repeat.\",zh:\"无人知晓知识库遗漏了什么；同样的错误反复出现。\"}, withData2:{pt:\"Os dados mostram as lacunas — a base melhora sozinha, com curadoria.\",en:\"The data shows the gaps — the base improves with curation.\",zh:\"数据揭示缺口 —— 知识库在策展中持续改善。\"}, kpis:[{num:\"+CSAT\",cap:{pt:\"satisfação medida\",en:\"satisfaction measured\",zh:\"满意度可量\"}}]}\n ]},\n {hue:\"#e8e84d\", name:{pt:\"Compras & Procurement\",en:\"Procurement\",zh:\"采购\"}, tagline:{pt:\"Excelência em compras: modelagem financeira e planejamento de fornecimento, simulados em minutos. Cada peça, um módulo Data².\",en:\"Procurement excellence: financial modeling and supply planning, simulated in minutes. Each piece, a Data² module.\",zh:\"采购卓越：财务建模与供应规划，几分钟即可模拟完成。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m3\", label:{pt:\"Planejamento\",en:\"Planning\",zh:\"规划\"}, title:{pt:\"Planejamento de fornecimento\",en:\"Supply planning\",zh:\"供应规划\"}, desc:{pt:\"Consolida demanda, contratos e capacidade de fornecedores num plano de fornecimento — sobre o dado real.\",en:\"Consolidates demand, contracts and supplier capacity into a supply plan — over real data.\",zh:\"将需求、合同与供应商产能整合成供应计划 —— 基于真实数据。\"}, points:[{pt:\"Demanda e contratos consolidados\",en:\"Consolidated demand and contracts\",zh:\"整合需求与合同\"},{pt:\"Capacidade e lead time por fornecedor\",en:\"Capacity and lead time per supplier\",zh:\"每供应商产能与交期\"},{pt:\"Plano de fornecimento priorizado\",en:\"Prioritized supply plan\",zh:\"有优先级的供应计划\"},{pt:\"Sobre o dado real (data lake)\",en:\"Over real data (data lake)\",zh:\"基于真实数据（数据湖）\"}], oldModel:{pt:\"Plano em planilha que não fala com contrato nem com estoque real.\",en:\"A spreadsheet plan that talks to neither the contract nor the real stock.\",zh:\"表格里的计划既不对接合同也不对接真实库存。\"}, withData2:{pt:\"Um plano vivo, ligado a contrato, demanda e capacidade.\",en:\"A live plan, linked to contract, demand and capacity.\",zh:\"一份实时计划，联通合同、需求与产能。\"}, kpis:[{num:\"1\",cap:{pt:\"plano sobre dado real\",en:\"plan on real data\",zh:\"基于真实数据的计划\"}}]},\n {motif:\"m8\", label:{pt:\"Modelagem\",en:\"Modeling\",zh:\"建模\"}, title:{pt:\"Modelagem financeira de cenários\",en:\"Financial scenario modeling\",zh:\"财务情景建模\"}, desc:{pt:\"Modele o impacto financeiro de cada decisão de compra — preço, câmbio, volume — antes de assinar.\",en:\"Model the financial impact of each purchasing decision — price, FX, volume — before signing.\",zh:\"在签约前对每项采购决策的财务影响建模 —— 价格、汇率、数量。\"}, points:[{pt:\"Modelo financeiro por cenário\",en:\"Financial model per scenario\",zh:\"按情景的财务模型\"},{pt:\"Sensibilidade a preço, câmbio e volume\",en:\"Sensitivity to price, FX and volume\",zh:\"对价格、汇率、数量的敏感性\"},{pt:\"Comparação de fornecedores e prazos\",en:\"Comparison of suppliers and terms\",zh:\"供应商与条款对比\"},{pt:\"Números auditáveis\",en:\"Auditable numbers\",zh:\"可审计的数字\"}], oldModel:{pt:\"Modelo financeiro numa planilha frágil que só uma pessoa entende.\",en:\"A financial model in a fragile spreadsheet only one person understands.\",zh:\"脆弱表格里的财务模型，只有一个人看得懂。\"}, withData2:{pt:\"Modelo robusto e auditável — qualquer cenário em minutos.\",en:\"A robust, auditable model — any scenario in minutes.\",zh:\"稳健可审计的模型 —— 任何情景几分钟出结果。\"}, kpis:[{num:\"MM\",cap:{pt:\"economizados por mês\",en:\"saved per month\",zh:\"每月节省\"}}]},\n {motif:\"m5\", label:{pt:\"Simuladores\",en:\"Simulators\",zh:\"模拟器\"}, title:{pt:\"Simuladores e croquis de decisão\",en:\"Decision simulators & builders\",zh:\"决策模拟器与构建器\"}, desc:{pt:\"A área monta seus próprios simuladores de decisão — sem código — e testa alternativas na hora.\",en:\"The team builds its own decision simulators — no code — and tests alternatives on the spot.\",zh:\"业务团队无代码搭建自己的决策模拟器 —— 即时测试各种方案。\"}, points:[{pt:\"Simuladores montados pela área (no-code)\",en:\"Simulators built by the team (no-code)\",zh:\"由团队搭建的模拟器（无代码）\"},{pt:\"Parâmetros e regras ajustáveis\",en:\"Adjustable parameters and rules\",zh:\"可调参数与规则\"},{pt:\"Resultado visual imediato\",en:\"Immediate visual result\",zh:\"即时可视化结果\"},{pt:\"Compartilháveis com stakeholders\",en:\"Shareable with stakeholders\",zh:\"可与相关方共享\"}], oldModel:{pt:\"Cada análise depende de um especialista e de uma planilha nova.\",en:\"Every analysis depends on a specialist and a new spreadsheet.\",zh:\"每次分析都依赖一位专家与一张新表格。\"}, withData2:{pt:\"A área simula sozinha e decide na hora, com confiança.\",en:\"The team simulates on its own and decides on the spot, with confidence.\",zh:\"团队自主模拟、即时决策，充满信心。\"}, kpis:[{num:\"0\",cap:{pt:\"código para simular\",en:\"code to simulate\",zh:\"模拟无需代码\"}}]},\n {motif:\"m1\", label:{pt:\"Orientado a dado\",en:\"Data-driven\",zh:\"数据驱动\"}, title:{pt:\"Compras orientadas a dado\",en:\"Data-driven sourcing\",zh:\"数据驱动的采购\"}, desc:{pt:\"Cada decisão de compra apoiada em dado — histórico, mercado e performance de fornecedor.\",en:\"Every purchasing decision backed by data — history, market and supplier performance.\",zh:\"每项采购决策都有数据支撑 —— 历史、市场与供应商表现。\"}, points:[{pt:\"Histórico de compras e preços\",en:\"Purchase and price history\",zh:\"采购与价格历史\"},{pt:\"Performance e risco de fornecedor\",en:\"Supplier performance and risk\",zh:\"供应商表现与风险\"},{pt:\"Recomendação de melhor opção\",en:\"Best-option recommendation\",zh:\"最优选项推荐\"},{pt:\"Trilha de decisão auditável\",en:\"Auditable decision trail\",zh:\"可审计的决策链路\"}], oldModel:{pt:\"Decisão de compra no relacionamento e no achismo — dinheiro na mesa.\",en:\"Purchasing by relationship and gut feel — money left on the table.\",zh:\"凭关系与直觉采购 —— 白白流失利润。\"}, withData2:{pt:\"Decisão com dado — melhor preço, melhor fornecedor, rastreável.\",en:\"Decisions with data — best price, best supplier, traceable.\",zh:\"用数据决策 —— 最优价格、最优供应商、可追溯。\"}, kpis:[{num:\"−%\",cap:{pt:\"custo de aquisição\",en:\"acquisition cost\",zh:\"采购成本\"}}]}\n ]}\n];\n var uni = root.querySelector(\"#uni\");\n var uniScroll = uni ? uni.querySelector(\".uni-scroll\") : null;\n var uniBody = root.querySelector(\"#uniBody\");\n var gcards = root.querySelectorAll(\".gcard\");\n var currentUni = -1;\n function L(o){ if(!o) return \"\"; return lang===\"zh\" ? 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We build it — same system, same data.\",zh:\"这里的每个组件都是一个 Data² 模块。需要尚不存在的东西？我们构建它 —— 同一系统，同一数据。\"},\n demo:{pt:\"Agendar uma demo\",en:\"Book a demo\",zh:\"预约演示\"}\n };\n function uniLayout(u){\n if(u.layout) return u.layout;\n var n=u.comps.length, pts=[], pad=40, spanX=(820-100)-pad*2;\n for(var i=0;i1?i/(n-1):0.5; pts.push([Math.round(pad+fx*spanX), i%2===0?60:210]); }\n return pts;\n }\n function esc(s){ return String(s); }\n function parseIso(text){\n var spec={cell:50,hue:\"#4ddfe6\",blocks:[],wires:[]};\n (text||\"\").split(\"\\n\").forEach(function(ln){\n ln=ln.trim(); if(!ln||ln.charAt(0)===\"#\") return;\n if(ln.indexOf(\"hue \")===0){ spec.hue=ln.slice(4).trim(); return; }\n if(ln.indexOf(\"cell \")===0){ spec.cell=+ln.slice(5)||50; return; }\n var w=ln.match(/^([\\w-]+)\\s*->\\s*([\\w-]+)(.*)$/);\n if(w){ var wi={from:w[1],to:w[2],flow:/\\bflow\\b/.test(w[3])}; var du=w[3].match(/dur:([\\d.]+)/); if(du)wi.dur=+du[1]; var wh=w[3].match(/#([0-9a-fA-F]{3,8})/); if(wh)wi.hue=\"#\"+wh[1]; spec.wires.push(wi); return; }\n var m=ln.match(/^([\\w-]+)\\s+@(-?\\d+),(-?\\d+)(.*)$/);\n if(m){ var b={id:m[1],at:[+m[2],+m[3]]}; var rest=m[4]||\"\";\n var hh=rest.match(/\\bh(\\d+)/); b.h=hh?+hh[1]:1;\n var an=rest.match(/\\b(float|pulse|bob)\\b/); if(an)b.anim=an[1];\n var lb=rest.match(/\"([^\"]*)\"/); if(lb)b.label=lb[1];\n var hu=rest.match(/#([0-9a-fA-F]{3,8})/); if(hu)b.hue=\"#\"+hu[1];\n if(/\\bwin\\b/.test(rest)) b.detail=\"win\";\n spec.blocks.push(b);\n }\n });\n return spec;\n }\n function isoScene(spec){\n var s=spec.cell||50, hw=s/2, q=s/4, fh=s*0.5;\n var minX=1e9,maxX=-1e9,minY=1e9,maxY=-1e9, anchors={}, blocks=[];\n spec.blocks.forEach(function(b,i){\n var c=b.at[0], r=b.at[1], h=b.h||1;\n var X=(c-r)*hw, Ybase=(c+r)*q, topY=Ybase-h*fh, hue=b.hue||spec.hue;\n anchors[b.id!=null?b.id:i]={x:X,y:topY};\n blocks.push({b:b,X:X,Ybase:Ybase,topY:topY,h:h,hue:hue,i:i});\n if(X-hwmaxX)maxX=X+hw;\n if(topY-qmaxY)maxY=Ybase+q+22;\n });\n var out=\"\";\n (spec.wires||[]).forEach(function(w){\n var a=anchors[w.from], z=anchors[w.to]; if(!a||!z) return;\n var d=\"M\"+a.x.toFixed(1)+\",\"+a.y.toFixed(1)+\" L\"+z.x.toFixed(1)+\",\"+z.y.toFixed(1);\n out+='';\n if(w.flow) out+='';\n });\n blocks.sort(function(p,q2){return p.Ybase-q2.Ybase});\n blocks.forEach(function(bl){\n var X=bl.X,topY=bl.topY,h=bl.h,hue=bl.hue,b=bl.b;\n var top=[X+\",\"+(topY-q),(X+hw)+\",\"+topY,X+\",\"+(topY+q),(X-hw)+\",\"+topY].join(\" \");\n var left=[(X-hw)+\",\"+topY,X+\",\"+(topY+q),X+\",\"+(topY+q+h*fh),(X-hw)+\",\"+(topY+h*fh)].join(\" \");\n var right=[(X+hw)+\",\"+topY,X+\",\"+(topY+q),X+\",\"+(topY+q+h*fh),(X+hw)+\",\"+(topY+h*fh)].join(\" \");\n var cls=\"iso-blk\"+(b.anim?(\" iso-\"+b.anim):\"\")+(b.dataI!=null?\" comp\":\"\");\n var di=(b.dataI!=null?' data-i=\"'+b.dataI+'\"':'');\n var g='';\n g+='';\n for(var k=1;k'; }\n if(b.detail===\"win\"){ g+=''; }\n g+='';\n out+=g;\n if(b.label) out+=''+b.label+'';\n });\n var pad=34, vbx=(minX-pad), vby=(minY-pad), vbw=(maxX-minX)+pad*2, vbh=(maxY-minY)+pad*2;\n if(!isFinite(vbw)||vbw<=0) return '';\n return ''+out+'';\n }\n function sceneFor(u){\n if(u.scene) return u.scene;\n var n=u.comps.length, anims=[\"float\",\"pulse\",\"bob\"], heights=[2,3,1,2,4,2], lines=[\"hue \"+u.hue,\"cell 52\"];\n for(var i=0;i \"+jj+\" flow\"); }\n return lines.join(\"\\n\");\n }\n function isoMini(u,j){\n var a=[\"float\",\"pulse\",\"bob\"][j%3], b2=[\"pulse\",\"bob\",\"float\"][j%3];\n var dsl=\"hue \"+u.hue+\"\\ncell 44\\na @0,0 h2 \"+a+\" win\\nb @2,1 h1 \"+b2+\"\\na -> b flow\";\n return isoScene(parseIso(dsl));\n }\n // === isolab neon renderer (ported verbatim, namespaced *2) ===\n var ICONS2={\n chat:'',\n ai:'',\n user:'',\n screen:'',\n gear:'',\n bolt:'',\n plug:'',\n db:'',\n chart:'',\n doc:'',\n shield:'',\n cart:'',\n node:''\n };\n function parseIso2(text){\n var spec={cell:50,hue:\"#4ddfe6\",blocks:[],wires:[],context:false};\n (text||\"\").split(\"\\n\").forEach(function(ln){\n ln=ln.trim(); if(!ln||ln.charAt(0)===\"#\") return;\n if(ln.indexOf(\"hue \")===0){ spec.hue=ln.slice(4).trim(); return; }\n if(ln.indexOf(\"cell \")===0){ spec.cell=+ln.slice(5)||50; return; }\n if(ln===\"context\"||ln.indexOf(\"context \")===0){ spec.context=true; return; }\n var w=ln.match(/^([\\w-]+)\\s*->\\s*([\\w-]+)(.*)$/);\n if(w){ var wi={from:w[1],to:w[2],flow:/\\bflow\\b/.test(w[3])}; var du=w[3].match(/dur:([\\d.]+)/); if(du)wi.dur=+du[1]; var wh=w[3].match(/#([0-9a-fA-F]{3,8})/); if(wh)wi.hue=\"#\"+wh[1]; spec.wires.push(wi); return; }\n var m=ln.match(/^([\\w-]+)\\s+@(-?\\d+),(-?\\d+)(.*)$/);\n if(m){ var b={id:m[1],at:[+m[2],+m[3]]}; var rest=m[4]||\"\";\n var hh=rest.match(/\\bh(\\d+)/); b.h=hh?+hh[1]:1;\n var an=rest.match(/\\b(float|pulse|bob)\\b/); if(an)b.anim=an[1];\n var lb=rest.match(/\"([^\"]*)\"/); if(lb)b.label=lb[1];\n var hu=rest.match(/#([0-9a-fA-F]{3,8})/); if(hu)b.hue=\"#\"+hu[1];\n if(/\\bwin\\b/.test(rest)) b.detail=\"win\";\n var sh=rest.match(/\\bshape:(\\w+)/); if(sh)b.shape=sh[1];\n var ic=rest.match(/\\bicon:([a-z]+)/); if(ic)b.icon=ic[1];\n var cp=rest.match(/\\bcomp:(\\d+)/); if(cp)b.dataI=+cp[1];\n spec.blocks.push(b);\n }\n });\n return spec;\n }\n function poly2(a){ return a.map(function(p){return p[0].toFixed(1)+\",\"+p[1].toFixed(1)}).join(\" \"); }\n function shapeGeo2(shape,X,topY,Ybase,hw,q,H){\n var g={faces:[],edges:\"\",topC:[X,topY],floor:[X,Ybase,hw*1.3,q*1.25],contact:[X,Ybase,hw*0.95,q*0.85]};\n function seg(a,b){ return \"M\"+a[0].toFixed(1)+\",\"+a[1].toFixed(1)+\" L\"+b[0].toFixed(1)+\",\"+b[1].toFixed(1)+\" \"; }\n if(shape===\"cyl\"){\n var bot=topY+H;\n var body=\"M\"+(X-hw)+\",\"+topY+\" L\"+(X-hw)+\",\"+bot+\" A\"+hw+\",\"+q+\" 0 0 0 \"+(X+hw)+\",\"+bot+\" L\"+(X+hw)+\",\"+topY+\" A\"+hw+\",\"+q+\" 0 0 1 \"+(X-hw)+\",\"+topY+\" Z\";\n var topE=\"M\"+(X-hw)+\",\"+topY+\" A\"+hw+\",\"+q+\" 0 1 0 \"+(X+hw)+\",\"+topY+\" A\"+hw+\",\"+q+\" 0 1 0 \"+(X-hw)+\",\"+topY+\" Z\";\n g.faces.push({cls:\"fl\",d:body});\n g.faces.push({cls:\"ft\",d:topE});\n g.edges=topE+\" M\"+(X-hw)+\",\"+topY+\" L\"+(X-hw)+\",\"+bot+\" M\"+(X+hw)+\",\"+topY+\" L\"+(X+hw)+\",\"+bot+\" M\"+(X-hw)+\",\"+bot+\" A\"+hw+\",\"+q+\" 0 0 0 \"+(X+hw)+\",\"+bot;\n g.floor=[X,bot,hw*1.2,q*1.15]; g.contact=[X,bot,hw*0.9,q*0.78];\n return g;\n }\n if(shape===\"pyr\"){\n var apex=[X,topY],pl=[X-hw,Ybase],pf=[X,Ybase+q],pr=[X+hw,Ybase];\n g.faces.push({cls:\"fl\",pts:[apex,pl,pf]});\n g.faces.push({cls:\"fr\",pts:[apex,pf,pr]});\n g.edges=seg(apex,pl)+seg(apex,pf)+seg(apex,pr)+seg(pl,pf)+seg(pf,pr);\n g.topC=[X,topY+(Ybase-topY)*0.42];\n g.floor=[X,Ybase+q*0.2,hw*1.15,q*1.1]; g.contact=[X,Ybase+q*0.12,hw*0.8,q*0.7];\n return g;\n }\n if(shape===\"hex\"){\n var bt=topY+H;\n var R=[X+hw,topY],TR=[X+hw*0.5,topY-q],TL=[X-hw*0.5,topY-q],L=[X-hw,topY],BL=[X-hw*0.5,topY+q],BR=[X+hw*0.5,topY+q];\n var Ld=[X-hw,bt],BLd=[X-hw*0.5,bt+q],BRd=[X+hw*0.5,bt+q],Rd=[X+hw,bt];\n g.faces.push({cls:\"ft\",pts:[R,TR,TL,L,BL,BR]});\n g.faces.push({cls:\"fl\",pts:[L,BL,BLd,Ld]});\n g.faces.push({cls:\"fm\",pts:[BL,BR,BRd,BLd]});\n g.faces.push({cls:\"fr\",pts:[BR,R,Rd,BRd]});\n g.edges=seg(R,TR)+seg(TR,TL)+seg(TL,L)+seg(L,BL)+seg(BL,BR)+seg(BR,R)+seg(L,Ld)+seg(BL,BLd)+seg(BR,BRd)+seg(R,Rd)+seg(Ld,BLd)+seg(BLd,BRd)+seg(BRd,Rd);\n g.floor=[X,bt,hw*1.25,q*1.2]; g.contact=[X,bt,hw*0.95,q*0.82];\n return g;\n }\n var T=[X,topY-q],Rr=[X+hw,topY],B=[X,topY+q],Ll=[X-hw,topY],fb=[X,topY+q+H],lb=[X-hw,topY+H],rb=[X+hw,topY+H];\n g.faces.push({cls:\"ft\",pts:[T,Rr,B,Ll]});\n g.faces.push({cls:\"fl\",pts:[Ll,B,fb,lb]});\n g.faces.push({cls:\"fr\",pts:[Rr,B,fb,rb]});\n g.edges=seg(T,Rr)+seg(Rr,B)+seg(B,Ll)+seg(Ll,T)+seg(Ll,lb)+seg(B,fb)+seg(Rr,rb)+seg(lb,fb)+seg(fb,rb);\n g.floor=[X,topY+q+H,hw*1.3,q*1.25]; g.contact=[X,topY+q+H,hw*0.95,q*0.82];\n return g;\n }\n function isoScene2(spec){\n var s=spec.cell||50, hw=s/2, q=s/4, fh=s*0.5;\n var minX=1e9,maxX=-1e9,minY=1e9,maxY=-1e9, anchors={}, blocks=[];\n spec.blocks.forEach(function(b,i){\n var c=b.at[0], r=b.at[1], h=b.h||1;\n var X=(c-r)*hw, Ybase=(c+r)*q, topY=Ybase-h*fh, hue=b.hue||spec.hue;\n anchors[b.id!=null?b.id:i]={x:X,y:topY};\n blocks.push({b:b,X:X,Ybase:Ybase,topY:topY,h:h,hue:hue,i:i});\n if(X-hw*1.3maxX)maxX=X+hw*1.3;\n if(topY-qmaxY)maxY=Ybase+q+s*0.62+16;\n });\n var minYb=1e9,maxYb=-1e9;\n blocks.forEach(function(bl){ if(bl.YbasemaxYb)maxYb=bl.Ybase; });\n var GRID=\"\",GHOSTS=\"\";\n if(blocks.length){\n var _cs=spec.blocks.map(function(b){return b.at[0]}),_rs=spec.blocks.map(function(b){return b.at[1]});\n var minC=Math.min.apply(null,_cs),maxC=Math.max.apply(null,_cs),minR=Math.min.apply(null,_rs),maxR=Math.max.apply(null,_rs);\n var g0=minC-1,g1=maxC+1,r0=minR-1,r1=maxR+1;\n var occ={}; spec.blocks.forEach(function(b){occ[b.at[0]+\"_\"+b.at[1]]=1;});\n var maxCR=Math.max.apply(null,spec.blocks.map(function(b){return b.at[0]+b.at[1]}));\n var sd=9176,rand=function(){ sd=(sd*1103515245+12345)&0x7fffffff; return sd/0x7fffffff; };\n var gl=\"\";\n for(var gc=g0;gc<=g1;gc++){ gl+=\"M\"+((gc-r0)*hw).toFixed(1)+\",\"+((gc+r0)*q).toFixed(1)+\" L\"+((gc-r1)*hw).toFixed(1)+\",\"+((gc+r1)*q).toFixed(1)+\" \"; }\n for(var gr=r0;gr<=r1;gr++){ gl+=\"M\"+((g0-gr)*hw).toFixed(1)+\",\"+((g0+gr)*q).toFixed(1)+\" L\"+((g1-gr)*hw).toFixed(1)+\",\"+((g1+gr)*q).toFixed(1)+\" \"; }\n GRID='';\n if(spec.context){\n var gh=[];\n for(var cc=g0;cc<=g1;cc++){ for(var rr=r0;rr<=r1;rr++){ if(occ[cc+\"_\"+rr]) continue; if(cc+rr>maxCR) continue; if(rand()>0.36) continue; gh.push({c:cc,r:rr,h:1+Math.floor(rand()*3)}); } }\n gh.sort(function(a,b){return (a.c+a.r)-(b.c+b.r)});\n gh.forEach(function(o){ var X=(o.c-o.r)*hw,Ybase=(o.c+o.r)*q,topY=Ybase-o.h*fh,H=o.h*fh; var geo=shapeGeo2(\"cube\",X,topY,Ybase,hw,q,H); var gg=''; geo.faces.forEach(function(f){ gg+=''; }); gg+=''; GHOSTS+=gg; if(X-hwmaxX)maxX=X+hw; if(topY-qmaxY)maxY=Ybase+q; });\n }\n var _xs=[(g0-r0)*hw,(g0-r1)*hw,(g1-r0)*hw,(g1-r1)*hw];\n minX=Math.min(minX,Math.min.apply(null,_xs)); maxX=Math.max(maxX,Math.max.apply(null,_xs));\n minY=Math.min(minY,(g0+r0)*q-q); maxY=Math.max(maxY,(g1+r1)*q+q);\n }\n var DEFS='';\n var out=GRID+GHOSTS;\n (spec.wires||[]).forEach(function(w){\n var a=anchors[w.from], z=anchors[w.to]; if(!a||!z) return;\n var d=\"M\"+a.x.toFixed(1)+\",\"+a.y.toFixed(1)+\" L\"+z.x.toFixed(1)+\",\"+z.y.toFixed(1);\n out+='';\n if(w.flow) out+='';\n });\n blocks.sort(function(p,q2){return p.Ybase-q2.Ybase});\n blocks.forEach(function(bl){\n var X=bl.X,topY=bl.topY,Ybase=bl.Ybase,h=bl.h,hue=bl.hue,b=bl.b,H=h*fh,i=bl.i;\n var shape=b.shape||\"cube\";\n var geo=shapeGeo2(shape,X,topY,Ybase,hw,q,H);\n var dep=maxYb>minYb?(Ybase-minYb)/(maxYb-minYb):1, op=(0.78+0.22*dep).toFixed(3);\n var mix=function(p,base){ return \"color-mix(in srgb,\"+hue+\" \"+p+\"%,\"+base+\")\"; };\n var gd='';\n var cls=\"iso-blk\"+(b.anim?(\" iso-\"+b.anim):\"\")+(b.dataI!=null?\" comp\":\"\");\n var di=(b.dataI!=null?' data-i=\"'+b.dataI+'\"':'');\n var g=''+gd;\n g+='';\n g+='';\n geo.faces.forEach(function(f){ var fill=\"url(#\"+f.cls+\"g\"+i+\")\"; if(f.d) g+=''; else g+=''; });\n if(shape===\"cube\"&&h>1){ for(var k=1;k'; } }\n if(b.detail===\"win\"&&shape===\"cube\"){\n for(var o2=fh*0.5;o2'; }\n g+='';\n }\n g+='';\n if(b.icon&&ICONS2[b.icon]){ var isc=(hw/30).toFixed(3); g+=''+ICONS2[b.icon]+''; }\n g+='';\n out+=g;\n if(b.label){ var lf=Math.max(10,Math.round(s*0.26)); var lw=(b.label.length*lf*0.6+18); var ly=(Ybase+q+lf+12); out+=''+b.label+''; }\n });\n var pad=42, vbx=(minX-pad), vby=(minY-pad), vbw=(maxX-minX)+pad*2, vbh=(maxY-minY)+pad*2;\n var sd2=4231,rnd=function(){ sd2=(sd2*1103515245+12345)&0x7fffffff; return sd2/0x7fffffff; };\n for(var di2=0;di2<14;di2++){ out+=''; }\n if(!isFinite(vbw)||vbw<=0) return '';\n return ''+DEFS+out+'';\n }\n var ICON_MAP2=[\n [/webchat|widget/i,\"chat\"],\n [/transbordo|handoff|humano|human|\\bsso\\b|identidade|onboard|colaborador|segurad/i,\"user\"],\n [/\\bbot\\b|triag|copilot|copiloto|assistent|\\bai\\b|recomenda|next-best|semantic|semânt|busca|search/i,\"ai\"],\n [/console|workspace|supervis|vitrine|storefront|catalog|catálogo|experiência/i,\"screen\"],\n [/alerta|alert|evento|gatilho|monitor|anomal/i,\"bolt\"],\n [/integr|vtex|graphql|connect|\\bapi\\b|outreach|ondas|waves|\\bcrm\\b/i,\"plug\"],\n [/\\bsql\\b|data lake|knowledge|conhecimento|registry|banco|\\bbom\\b|estrutura|planejamento|supply|fornec/i,\"db\"],\n [/score|analytics|performance|\\bbi\\b|painéis|painel|dashboard|metas|targets|modelagem|modeling|roi|financ|simulad|scenario|cenário/i,\"chart\"],\n [/fila|queue|csat|automa|\\brush\\b|agendad|scheduler|regras|rules|fluxo|ingest/i,\"gear\"],\n [/\\bocr\\b|leitura|documento|\\bdoc\\b|proposta|relatóri|export|planilha/i,\"doc\"],\n [/segment|\\bnode\\b|\\bkb\\b/i,\"node\"],\n [/foto|photo|imagem|image|estúdio|studio|conteúdo|content|mídia|media/i,\"screen\"],\n [/erp|loja|store|compra|procurement|sourcing/i,\"cart\"]\n ];\n function pickIcon2(comp){\n var s=((comp.title&&comp.title.en)||\"\")+\" \"+((comp.label&&comp.label.en)||\"\");\n for(var i=0;i c\"+j+\" flow\"); }\n return lines.join(\"\\n\");\n }\n function detailSpec(u,c,j){\n var ic=pickIcon2(c), sh=pickShape2(ic);\n var a=[\"float\",\"pulse\",\"bob\"][j%3], b2=[\"pulse\",\"bob\",\"float\"][j%3];\n var sh2=[\"hex\",\"cyl\",\"cube\",\"pyr\"][j%4], h1=[2,3,2][j%3];\n var lines=[\"hue \"+u.hue,\"cell 48\"];\n lines.push(\"m @0,0 h\"+h1+\" \"+a+\" shape:\"+sh+\" icon:\"+ic);\n lines.push(\"s @2,1 h1 \"+b2+\" shape:\"+sh2);\n lines.push(\"m -> s flow\");\n return lines.join(\"\\n\");\n }\n var __dio = null;\n function hxRgb(h){ h=(h||'#888888').replace('#',''); if(h.length===3) h=h[0]+h[0]+h[1]+h[1]+h[2]+h[2]; return [parseInt(h.substr(0,2),16)/255,parseInt(h.substr(2,2),16)/255,parseInt(h.substr(4,2),16)/255]; }\n function rgbHsl(r,g,b){ var mx=Math.max(r,g,b),mn=Math.min(r,g,b),h,s,l=(mx+mn)/2; if(mx===mn){h=0;s=0;} else { var d=mx-mn; s=l>0.5?d/(2-mx-mn):d/(mx+mn); h=(mx===r)?((g-b)/d+(g1)t-=1; if(t<1/6)return p+(q-p)*6*t; if(t<1/2)return q; if(t<2/3)return p+(q-p)*(2/3-t)*6; return p; } if(s===0)return [l,l,l]; var q=l<0.5?l*(1+s):l+s-l*s,p=2*l-q; return [f(p,q,h+1/3),f(p,q,h),f(p,q,h-1/3)]; }\n function neon(rgb,rotDeg,li){ var hsl=rgbHsl(rgb[0],rgb[1],rgb[2]); var h=(hsl[0]+(rotDeg||0)/360+1)%1; var s=Math.max(hsl[1],0.85); return hslRgb(h,s,li||0.6); }\n function kanjiFor(c,i){ var key=((((c&&c.label&&c.label.en)||'')+' '+((c&&c.label&&c.label.pt)||'')).toLowerCase()); var MAP=[[['webchat','chat','conversa'],'会話'],[['triage','triagem','bot'],'分流'],[['handoff','transbordo'],'引継'],[['console'],'制御'],[['queue','fila'],'待列'],[['csat','satisf'],'満足'],[['analytic','analy','painel','dashboard','painéis'],'分析'],[['copilot','copiloto','assist','ai '],'知能'],[['search','busca'],'検索'],[['crm','outreach','cadência','lead'],'顧客'],[['sql','query'],'問合'],[['export','planilha','spreadsheet'],'出力'],[['rush','ingest'],'取込'],[['store','record','erp','estoque'],'記録'],[['rule','regra','score'],'規則'],[['bom','estrutura'],'展開'],[['photo','foto','image','imagem','conteúdo','content'],'生成'],[['catalog','catálogo','produto','product'],'商品'],[['vtex','graphql','integr'],'接続'],[['sso','auth','login'],'認証'],[['alert','monitor'],'警報'],[['target','meta','plan'],'目標'],[['scenario','cenário','simul','model'],'模擬'],[['omnichannel','onda','wave','canal'],'波信'],[['semant','semânt','conhecimento','ground','ancorada','fonte','kb'],'知識'],[['next','próxima','ação','action','performance'],'行動'],[['supply','fornecimento','planejamento'],'供給']]; for(var m=0;m=0) return MAP[m][1]; } } var pool=['都','光','夜','街','電','網','機','塔']; return pool[(i||0)%pool.length]; }\n\n // ---- data-driven scene: each component => one neon building, tinted in the universe hue ----\n function dioramaScene(u){\n var boxes=[], sg=[], lamps=[], beacons=[];\n var ground=[.11,.12,.15], roofC=[.15,.15,.19];\n function bx(p,s,c,seed){ return {p:p,s:s,c:c,win:0,g:0,seed:seed||0}; }\n function em(p,s,c){ return {p:p,s:s,c:c,win:2,g:0,seed:0}; }\n function bld(p,s,tint,seed){ var t=tint||1.0; return {p:p,s:s,c:[0.26*t,0.25*t,0.31*t],win:1,g:0,seed:seed||0}; }\n function grd(p,s){ return {p:p,s:s,c:ground,win:0,g:1,seed:0}; }\n function roof(b,seed){ var ty=b.p[1]+b.s[1]/2; boxes.push(bx([b.p[0]-b.s[0]*0.18,ty+0.32,b.p[2]+b.s[2]*0.16],[b.s[0]*0.34,0.64,b.s[2]*0.34],roofC,seed)); boxes.push(bx([b.p[0]+b.s[0]*0.26,ty+0.75,b.p[2]-b.s[2]*0.2],[0.05,1.5,0.05],[.09,.09,.12],seed)); boxes.push(bx([b.p[0]+b.s[0]*0.12,ty+0.16,b.p[2]+b.s[2]*0.3],[b.s[0]*0.3,0.3,b.s[2]*0.22],roofC,seed)); beacons.push([b.p[0]+b.s[0]*0.26,ty+1.55,b.p[2]-b.s[2]*0.2]); }\n function detail(b,seed){ var fz=b.p[2]+b.s[2]/2, base=b.p[1]-b.s[1]/2, cx=b.p[0]; boxes.push(em([cx,base+0.42,fz+0.04],[b.s[0]*0.66,0.52,0.04],[1.0,0.72,0.36])); boxes.push({p:[cx,base+0.66,fz+0.28],s:[b.s[0]*0.72,0.09,0.5],c:(seed>0.5?[.5,.12,.14]:[.12,.32,.18]),win:0,g:0,seed:0}); boxes.push(bx([cx-b.s[0]/2-0.11,base+b.s[1]*0.58,b.p[2]+0.35],[0.22,0.3,0.36],[.1,.1,.13],0)); boxes.push(bx([cx-b.s[0]/2-0.11,base+b.s[1]*0.34,b.p[2]-0.35],[0.2,0.26,0.32],[.1,.1,.13],0)); }\n function lamp(x,zz){ boxes.push(bx([x,0.9,zz],[0.06,1.8,0.06],[.08,.08,.10],0)); boxes.push(bx([x-0.13,1.78,zz],[0.28,0.06,0.1],[.08,.08,.10],0)); boxes.push(em([x-0.24,1.72,zz],[0.14,0.1,0.14],[1.0,0.72,0.34])); lamps.push([x-0.2,1.45,zz]); }\n function road(cx,cz,sx,sz){ boxes.push({p:[cx,0.02,cz],s:[sx,0.06,sz],c:[.05,.055,.075],win:0,g:0,seed:0}); }\n function paint(cx,cz,sx,sz){ boxes.push({p:[cx,0.055,cz],s:[sx,0.02,sz],c:[.3,.31,.34],win:2,g:0,seed:0}); }\n function vending(x,z,col){ boxes.push(bx([x,0.45,z],[0.5,0.9,0.42],[.08,.08,.1],0)); boxes.push(em([x,0.52,z+0.22],[0.36,0.64,0.03],col)); }\n function figure(x,z){ boxes.push(bx([x,0.27,z],[0.16,0.42,0.14],[.05,.05,.07],0)); boxes.push(bx([x,0.55,z],[0.12,0.13,0.12],[.06,.06,.08],0)); }\n function lanternWire(x1,x2,z,y,n,col){ boxes.push(bx([(x1+x2)*0.5,y+0.04,z],[Math.abs(x2-x1),0.02,0.02],[.06,.06,.07],0)); for(var i=0;i3.4) sg.push(bladeZ(b,0.6,kj,lab,col,1.0));\n else sg.push(onZ(b,0.62,kj,lab,col,0.98));\n }\n lanternWire(-5.2,5.2,4.35,2.5,7,[1.0,0.52,0.2]);\n vending(-4.9,3.7,main); vending(4.7,-1.4,acc1);\n figure(-2.2,3.95); figure(0.9,4.05);\n return {boxes:boxes,signs:sg,lamps:lamps,beacons:beacons};\n }\n\n // ---- render core: inlined VERBATIM from the isoshader engine (lab UI stripped) ----\n function mountDiorama(canvas, scene, opts){\n opts=opts||{};\n var gl=canvas.getContext('webgl2',{antialias:true,alpha:false,premultipliedAlpha:false});\n if(!gl){ if(window.console)console.warn('[diorama] WebGL2 indisponivel'); return {destroy:function(){}}; }\n var CJK='\"Hiragino Sans\",\"Hiragino Kaku Gothic ProN\",\"PingFang SC\",\"Noto Sans CJK JP\",\"Yu Gothic\",sans-serif';\n var CUBE=[]; (function(){\n var F=[\n [[.5,-.5,-.5],[.5,.5,-.5],[.5,.5,.5],[.5,-.5,.5],[1,0,0]],\n [[-.5,-.5,.5],[-.5,.5,.5],[-.5,.5,-.5],[-.5,-.5,-.5],[-1,0,0]],\n [[-.5,.5,-.5],[-.5,.5,.5],[.5,.5,.5],[.5,.5,-.5],[0,1,0]],\n [[-.5,-.5,.5],[-.5,-.5,-.5],[.5,-.5,-.5],[.5,-.5,.5],[0,-1,0]],\n [[-.5,-.5,.5],[.5,-.5,.5],[.5,.5,.5],[-.5,.5,.5],[0,0,1]],\n [[.5,-.5,-.5],[-.5,-.5,-.5],[-.5,.5,-.5],[.5,.5,-.5],[0,0,-1]]\n ];\n F.forEach(function(f){ [f[0],f[1],f[2],f[0],f[2],f[3]].forEach(function(v){ CUBE.push(v[0],v[1],v[2],f[4][0],f[4][1],f[4][2]); }); });\n })();\n function bx(p,s,c,seed){ return {p:p,s:s,c:c,win:0,g:0,seed:seed||0}; }\n function em(p,s,c){ return {p:p,s:s,c:c,win:2,g:0,seed:0}; }\n function car(boxes,x,zz,col,ax,dir){ ax=ax||'x'; dir=dir||1;\n boxes.push(em([x,0.066,zz],[ax==='x'?1.4:0.86,0.02,ax==='x'?0.86:1.4],[.009,.009,.013]));\n if(ax==='x'){\n boxes.push(bx([x,0.26,zz],[1.0,0.26,0.52],col,0)); boxes.push(bx([x,0.48,zz],[0.52,0.22,0.48],[col[0]*0.55,col[1]*0.55,col[2]*0.6],0));\n boxes.push(em([x+dir*0.47,0.28,zz],[0.06,0.12,0.44],[1.,0.95,0.72])); boxes.push(em([x-dir*0.47,0.28,zz],[0.06,0.1,0.44],[1.,0.18,0.12]));\n boxes.push(bx([x-0.32,0.12,zz-0.29],[0.18,0.18,0.09],[.04,.04,.05],0)); boxes.push(bx([x-0.32,0.12,zz+0.29],[0.18,0.18,0.09],[.04,.04,.05],0)); boxes.push(bx([x+0.32,0.12,zz-0.29],[0.18,0.18,0.09],[.04,.04,.05],0)); boxes.push(bx([x+0.32,0.12,zz+0.29],[0.18,0.18,0.09],[.04,.04,.05],0));\n } else {\n boxes.push(bx([x,0.26,zz],[0.52,0.26,1.0],col,0)); boxes.push(bx([x,0.48,zz],[0.48,0.22,0.52],[col[0]*0.55,col[1]*0.55,col[2]*0.6],0));\n boxes.push(em([x,0.28,zz+dir*0.47],[0.44,0.12,0.06],[1.,0.95,0.72])); boxes.push(em([x,0.28,zz-dir*0.47],[0.44,0.1,0.06],[1.,0.18,0.12]));\n boxes.push(bx([x-0.29,0.12,zz-0.32],[0.09,0.18,0.18],[.04,.04,.05],0)); boxes.push(bx([x-0.29,0.12,zz+0.32],[0.09,0.18,0.18],[.04,.04,.05],0)); boxes.push(bx([x+0.29,0.12,zz-0.32],[0.09,0.18,0.18],[.04,.04,.05],0)); boxes.push(bx([x+0.29,0.12,zz+0.32],[0.09,0.18,0.18],[.04,.04,.05],0));\n }\n }\n var RA=-6.6,RB=6.6,RF=5.5,RK=-3.5,L0=RB-RA,L1=RF-RK,L2=RB-RA,L3=RF-RK,RP=L0+L1+L2+L3;\n function ringPos(d){ d=((d%RP)+RP)%RP;\n if(d1.0||c.y<0.0||c.y>1.0||c.z>1.0) return 1.0;\n float bias=0.0025, s=0.0, tx=1.0/1024.0;\n for(int i=-1;i<=1;i++)for(int j=-1;j<=1;j++){ float d=texture(uShadow,c.xy+vec2(float(i),float(j))*tx).r; s+=(c.z-bias>d)?0.0:1.0; }\n return s/9.0;\n}\nvoid main(){\n if(vWin>1.5){ O=vec4(vCol*3.2,1.0); return; }\n vec3 n=normalize(vN); vec3 an=abs(n);\n float up=n.y*0.5+0.5;\n vec3 amb=mix(vec3(0.018,0.022,0.038),vec3(0.08,0.11,0.19),up);\n float face=(an.y>=an.x&&an.y>=an.z)?1.0:((an.x>an.z)?(n.x>0.0?0.92:0.72):(n.z>0.0?0.84:0.66));\n float shf=mix(1.0-uShAmt,1.0,shadow(vW));\n float ndl=max(dot(n,uLDir),0.0);\n vec3 col=vCol*(amb*face + vec3(0.55,0.62,0.82)*ndl*shf)*1.3;\n if(vWin>0.5) col*=0.82+0.18*smoothstep(0.0,4.0,vW.y);\n if(vWin>0.5 && an.y<0.5){\n vec2 uv=(an.x>0.5)? vObj.zy : vObj.xy;\n vec2 cell=floor(uv/0.5); vec2 f=fract(uv/0.5);\n float box=step(0.2,f.x)*step(f.x,0.8)*step(0.28,f.y)*step(f.y,0.86);\n float h=hash(cell+vSeed*17.0+7.3);\n float on=step(0.30+0.22*fract(vSeed*5.3),h);\n float br=0.4+1.0*hash(cell+vSeed*9.0+3.1);\n vec3 wc=mix(vec3(1.0,0.78,0.44),vec3(1.0,0.94,0.8),hash(cell+9.9));\n col+=wc*box*on*br*uWinI;\n }\n for(int i=0;i<16;i++){ if(i>=uNL) break; vec3 dl=uLP[i]-vW; float d=length(dl); vec3 ld=dl/max(d,0.001); float at=1.0/(1.0+d*d*3.4); col+=uLC[i]*at*(0.28+0.72*max(dot(n,ld),0.0)); }\n col=mix(col, vec3(0.02,0.028,0.055), (1.0-exp(-max(length(vW-uEye)-22.0,0.0)*0.03))*0.72);\n O=vec4(col,1.0);\n}`;\n var DVS=`#version 300 es\nlayout(location=0) in vec3 aPos; layout(location=2) in vec3 iPos; layout(location=3) in vec3 iSize;\nuniform mat4 uLVP;\nvoid main(){ gl_Position=uLVP*vec4(aPos*iSize+iPos,1.0); }`;\n var DFS=`#version 300 es\nprecision highp float; void main(){}`;\n var SVS=`#version 300 es\nlayout(location=0) in vec2 aPos; layout(location=1) in vec2 aUv;\nuniform mat4 uVP; uniform mat4 uModel; out vec2 vUv;\nvoid main(){ vUv=aUv; gl_Position=uVP*uModel*vec4(aPos,0.0,1.0); }`;\n var SFS=`#version 300 es\nprecision highp float;\nin vec2 vUv; out vec4 O; uniform sampler2D uTex; uniform float uGlow;\nvoid main(){ vec4 t=texture(uTex,vUv); if(t.a<0.02) discard; O=vec4(t.rgb*uGlow, t.a); }`;\n var PVS=`#version 300 es\nlayout(location=0) in vec2 aP; out vec2 vUv; void main(){ vUv=aP*0.5+0.5; gl_Position=vec4(aP,0.,1.); }`;\n var BLURFS=`#version 300 es\nprecision highp float; in vec2 vUv; out vec4 O; uniform sampler2D uTex; uniform vec2 uDir; uniform float uBright;\nvoid main(){ float w[5]=float[5](0.227,0.194,0.121,0.054,0.016); vec3 c=texture(uTex,vUv).rgb*w[0];\n for(int i=1;i<5;i++){ c+=texture(uTex,vUv+uDir*float(i)).rgb*w[i]; c+=texture(uTex,vUv-uDir*float(i)).rgb*w[i]; }\n if(uBright>0.5){ float l=max(c.r,max(c.g,c.b)); c*=smoothstep(0.55,1.0,l); } O=vec4(c,1.); }`;\n var COMPFS=`#version 300 es\nprecision highp float; in vec2 vUv; out vec4 O; uniform sampler2D uScene; uniform sampler2D uBloom; uniform float uBloomI,uExp,uSat;\nvec3 aces(vec3 x){ return clamp((x*(2.51*x+0.03))/(x*(2.43*x+0.59)+0.14),0.,1.); }\nfloat hash(vec2 p){ p=fract(p*vec2(123.34,456.21)); p+=dot(p,p+45.32); return fract(p.x*p.y); }\nvoid main(){\n float ca=0.0016; vec3 s=vec3(texture(uScene,vUv+vec2(ca,0.)).r,texture(uScene,vUv).g,texture(uScene,vUv-vec2(ca,0.)).b), b=texture(uBloom,vUv).rgb;\n vec3 col=aces((s+b*uBloomI)*uExp);\n float lu=dot(col,vec3(.299,.587,.114));\n col=mix(col*vec3(0.88,0.96,1.12), col*vec3(1.08,1.0,0.9), smoothstep(0.2,0.7,lu));\n col=clamp((col-0.5)*1.12+0.5,0.0,1.0);\n col=mix(vec3(lu),col,uSat); col+=vec3(0.006,0.011,0.02)*(1.0-col);\n col+=vec3(0.4,0.5,0.72)*exp(-length((vUv-vec2(0.74,0.8))*vec2(1.0,1.25))*3.2)*0.13;\n vec2 vg=vUv; col*=0.40+0.60*pow(16.0*vg.x*vg.y*(1.0-vg.x)*(1.0-vg.y),0.28);\n col+=(hash(vUv*vec2(1600.,900.))-0.5)*0.012;\n col=pow(max(col,0.),vec3(0.4545));\n O=vec4(col,1.);\n}`;\n var mainP, depthP, signP, blurP, compP;\n try{ mainP=prog(VS,FS); depthP=prog(DVS,DFS); signP=prog(SVS,SFS); blurP=prog(PVS,BLURFS); compP=prog(PVS,COMPFS); }\n catch(err){ if(window.console)console.error('[diorama] shader',(err&&err.message)||String(err)); return {destroy:function(){}}; }\n\n var cubeVBO=gl.createBuffer(); gl.bindBuffer(gl.ARRAY_BUFFER,cubeVBO); gl.bufferData(gl.ARRAY_BUFFER,new Float32Array(CUBE),gl.STATIC_DRAW);\n function instData(list){ var a=[]; list.forEach(function(o){ a.push(o.p[0],o.p[1],o.p[2],o.s[0],o.s[1],o.s[2],o.c[0],o.c[1],o.c[2],o.win,o.seed||0); }); return new Float32Array(a); }\n function buildVAO(list){\n var vao=gl.createVertexArray(); gl.bindVertexArray(vao);\n gl.bindBuffer(gl.ARRAY_BUFFER,cubeVBO);\n gl.enableVertexAttribArray(0); gl.vertexAttribPointer(0,3,gl.FLOAT,false,24,0);\n gl.enableVertexAttribArray(1); gl.vertexAttribPointer(1,3,gl.FLOAT,false,24,12);\n var ib=gl.createBuffer(); gl.bindBuffer(gl.ARRAY_BUFFER,ib); gl.bufferData(gl.ARRAY_BUFFER,instData(list),gl.STATIC_DRAW);\n var S=44;\n gl.enableVertexAttribArray(2); gl.vertexAttribPointer(2,3,gl.FLOAT,false,S,0); gl.vertexAttribDivisor(2,1);\n gl.enableVertexAttribArray(3); gl.vertexAttribPointer(3,3,gl.FLOAT,false,S,12); gl.vertexAttribDivisor(3,1);\n gl.enableVertexAttribArray(4); gl.vertexAttribPointer(4,3,gl.FLOAT,false,S,24); gl.vertexAttribDivisor(4,1);\n gl.enableVertexAttribArray(5); gl.vertexAttribPointer(5,1,gl.FLOAT,false,S,36); gl.vertexAttribDivisor(5,1);\n gl.enableVertexAttribArray(6); gl.vertexAttribPointer(6,1,gl.FLOAT,false,S,40); gl.vertexAttribDivisor(6,1);\n gl.bindVertexArray(null);\n return {vao:vao,n:list.length};\n }\n var SQ=new Float32Array([-.5,-.5,0,1, .5,-.5,1,1, .5,.5,1,0, -.5,-.5,0,1, .5,.5,1,0, -.5,.5,0,0]);\n var sqVBO=gl.createBuffer(); gl.bindBuffer(gl.ARRAY_BUFFER,sqVBO); gl.bufferData(gl.ARRAY_BUFFER,SQ,gl.STATIC_DRAW);\n var sqVAO=gl.createVertexArray(); gl.bindVertexArray(sqVAO); gl.bindBuffer(gl.ARRAY_BUFFER,sqVBO); gl.enableVertexAttribArray(0); gl.vertexAttribPointer(0,2,gl.FLOAT,false,16,0); gl.enableVertexAttribArray(1); gl.vertexAttribPointer(1,2,gl.FLOAT,false,16,8); gl.bindVertexArray(null);\n var quadVBO=gl.createBuffer(); gl.bindBuffer(gl.ARRAY_BUFFER,quadVBO); gl.bufferData(gl.ARRAY_BUFFER,new Float32Array([-1,-1,3,-1,-1,3]),gl.STATIC_DRAW);\n var quadVAO=gl.createVertexArray(); gl.bindVertexArray(quadVAO); gl.bindBuffer(gl.ARRAY_BUFFER,quadVBO); gl.enableVertexAttribArray(0); gl.vertexAttribPointer(0,2,gl.FLOAT,false,0,0); gl.bindVertexArray(null);\n var carIB=gl.createBuffer();\n var carVAO=gl.createVertexArray(); gl.bindVertexArray(carVAO);\n gl.bindBuffer(gl.ARRAY_BUFFER,cubeVBO); gl.enableVertexAttribArray(0); gl.vertexAttribPointer(0,3,gl.FLOAT,false,24,0); gl.enableVertexAttribArray(1); gl.vertexAttribPointer(1,3,gl.FLOAT,false,24,12);\n gl.bindBuffer(gl.ARRAY_BUFFER,carIB); var CS=44;\n gl.enableVertexAttribArray(2); gl.vertexAttribPointer(2,3,gl.FLOAT,false,CS,0); gl.vertexAttribDivisor(2,1);\n gl.enableVertexAttribArray(3); gl.vertexAttribPointer(3,3,gl.FLOAT,false,CS,12); gl.vertexAttribDivisor(3,1);\n gl.enableVertexAttribArray(4); gl.vertexAttribPointer(4,3,gl.FLOAT,false,CS,24); gl.vertexAttribDivisor(4,1);\n gl.enableVertexAttribArray(5); gl.vertexAttribPointer(5,1,gl.FLOAT,false,CS,36); gl.vertexAttribDivisor(5,1);\n gl.enableVertexAttribArray(6); gl.vertexAttribPointer(6,1,gl.FLOAT,false,CS,40); gl.vertexAttribDivisor(6,1);\n gl.bindVertexArray(null);\n\n function signTex(s){\n var W=s.port?230:400, H=s.port?432:270;\n var cv=document.createElement('canvas'); cv.width=W; cv.height=H; var x=cv.getContext('2d');\n var col='rgb('+Math.round(s.c[0]*255)+','+Math.round(s.c[1]*255)+','+Math.round(s.c[2]*255)+')';\n var m=24, rr=26;\n function rrect(){ x.beginPath(); x.moveTo(m+rr,m); x.arcTo(W-m,m,W-m,H-m,rr); x.arcTo(W-m,H-m,m,H-m,rr); x.arcTo(m,H-m,m,m,rr); x.arcTo(m,m,W-m,m,rr); x.closePath(); }\n rrect(); x.fillStyle='rgba(9,10,14,0.74)'; x.fill();\n x.shadowColor=col; x.strokeStyle=col; x.shadowBlur=22; x.lineWidth=9; rrect(); x.stroke(); rrect(); x.stroke();\n x.shadowBlur=3; x.strokeStyle='rgba(255,255,255,0.85)'; x.lineWidth=2.4; rrect(); x.stroke(); x.shadowBlur=0;\n x.textAlign='center'; x.textBaseline='middle';\n function glow(txt,px,py,fs){ x.font='600 '+fs+'px '+CJK; x.shadowColor=col; x.fillStyle=col; x.shadowBlur=fs*0.55; x.fillText(txt,px,py); x.fillText(txt,px,py); x.shadowBlur=fs*0.1; x.fillStyle='#ffffff'; x.fillText(txt,px,py); }\n function fitFs(txt,fs,maxw){ x.font='600 '+fs+'px '+CJK; var tw=x.measureText(txt||'').width; if(tw>maxw) return Math.max(12,Math.floor(fs*maxw/tw)); return fs; }\n if(s.port){ var ch=(s.k||'').split(''), n=Math.max(1,ch.length), step=Math.min(74,(H-150)/n);\n for(var i=0;i>1); bh=Math.max(1,fbh>>1);\n sceneTex=mktex(fbw,fbh); sceneRB=gl.createRenderbuffer(); gl.bindRenderbuffer(gl.RENDERBUFFER,sceneRB); gl.renderbufferStorage(gl.RENDERBUFFER,gl.DEPTH_COMPONENT16,fbw,fbh);\n sceneFBO=gl.createFramebuffer(); gl.bindFramebuffer(gl.FRAMEBUFFER,sceneFBO); gl.framebufferTexture2D(gl.FRAMEBUFFER,gl.COLOR_ATTACHMENT0,gl.TEXTURE_2D,sceneTex,0); gl.framebufferRenderbuffer(gl.FRAMEBUFFER,gl.DEPTH_ATTACHMENT,gl.RENDERBUFFER,sceneRB);\n bloomTex=[mktex(bw,bh),mktex(bw,bh)]; bloomFBO=[gl.createFramebuffer(),gl.createFramebuffer()];\n for(var i=0;i<2;i++){ gl.bindFramebuffer(gl.FRAMEBUFFER,bloomFBO[i]); gl.framebufferTexture2D(gl.FRAMEBUFFER,gl.COLOR_ATTACHMENT0,gl.TEXTURE_2D,bloomTex[i],0); }\n gl.bindFramebuffer(gl.FRAMEBUFFER,null); }\n\n function mul(a,b){ var o=new Float32Array(16); for(var c=0;c<4;c++)for(var r=0;r<4;r++){ var s=0; for(var k=0;k<4;k++)s+=a[k*4+r]*b[c*4+k]; o[c*4+r]=s; } return o; }\n function ortho(l,r,b,t,n,f){ return new Float32Array([2/(r-l),0,0,0, 0,2/(t-b),0,0, 0,0,-2/(f-n),0, -(r+l)/(r-l),-(t+b)/(t-b),-(f+n)/(f-n),1]); }\n function lookAt(e,c,u){ var z=[e[0]-c[0],e[1]-c[1],e[2]-c[2]]; var zl=Math.hypot(z[0],z[1],z[2]); z=[z[0]/zl,z[1]/zl,z[2]/zl];\n var x=[u[1]*z[2]-u[2]*z[1],u[2]*z[0]-u[0]*z[2],u[0]*z[1]-u[1]*z[0]]; var xl=Math.hypot(x[0],x[1],x[2])||1; x=[x[0]/xl,x[1]/xl,x[2]/xl];\n var y=[z[1]*x[2]-z[2]*x[1],z[2]*x[0]-z[0]*x[2],z[0]*x[1]-z[1]*x[0]];\n return new Float32Array([x[0],y[0],z[0],0, x[1],y[1],z[1],0, x[2],y[2],z[2],0, -(x[0]*e[0]+x[1]*e[1]+x[2]*e[2]),-(y[0]*e[0]+y[1]*e[1]+y[2]*e[2]),-(z[0]*e[0]+z[1]*e[1]+z[2]*e[2]),1]); }\n var LVP=mul(ortho(-12,12,-12,12,1,64), lookAt([-13,26,-11],[0,2.8,0],[0,1,0]));\n\n var P={exp:1.12,sat:1.08,rot:0,zoom:5.6,glow:1.15,bloom:0.9,win:1,plc:1,shad:0.78};\n\n var uVP=gl.getUniformLocation(mainP,'uVP'), uWinI=gl.getUniformLocation(mainP,'uWinI'), uNL=gl.getUniformLocation(mainP,'uNL'), uLP=gl.getUniformLocation(mainP,'uLP'), uLC=gl.getUniformLocation(mainP,'uLC'), uSh=gl.getUniformLocation(mainP,'uShadow'), uLVPm=gl.getUniformLocation(mainP,'uLVP'), uShAmt=gl.getUniformLocation(mainP,'uShAmt'), uLDir=gl.getUniformLocation(mainP,'uLDir'), uEye=gl.getUniformLocation(mainP,'uEye');\n var dLVP=gl.getUniformLocation(depthP,'uLVP');\n var sVP=gl.getUniformLocation(signP,'uVP'), sModel=gl.getUniformLocation(signP,'uModel'), sTex=gl.getUniformLocation(signP,'uTex'), sGlow=gl.getUniformLocation(signP,'uGlow');\n var bTex=gl.getUniformLocation(blurP,'uTex'), bDir=gl.getUniformLocation(blurP,'uDir'), bBr=gl.getUniformLocation(blurP,'uBright');\n var cSc=gl.getUniformLocation(compP,'uScene'), cBl=gl.getUniformLocation(compP,'uBloom'), cBi=gl.getUniformLocation(compP,'uBloomI'), cEx=gl.getUniformLocation(compP,'uExp'), cSa=gl.getUniformLocation(compP,'uSat');\n function flick(tt,i){ var b=0.84+0.16*Math.sin(tt*6.0+i*1.7); var s=Math.sin(tt*41.0+i*3.1)*Math.sin(tt*11.0+i*0.7); return b*((s>0.985)?0.35:1.0); }\n\n var t0=0, alive=true, raf=0, cw=0, ch=0;\n function resize(){ var dpr=Math.min(window.devicePixelRatio||1,1.25); var w=Math.max(2,Math.floor(canvas.clientWidth*dpr)), h=Math.max(2,Math.floor(canvas.clientHeight*dpr)); if(canvas.width!==w||canvas.height!==h){ canvas.width=w; canvas.height=h; cw=w; ch=h; allocFBO(w,h); } }\n function frame(ts){\n if(!alive||!canvas.isConnected){ alive=false; if(raf)cancelAnimationFrame(raf); return; }\n if(!t0)t0=ts; var t=(ts-t0)/1000; resize();\n var dt=Math.min(0.05,Math.max(0,t-lastT)); lastT=t;\n var tcyc=t%12.0, tRed=(tcyc>=7.5), tYel=(tcyc>=6.0&&tcyc<7.5);\n var cb=[];\n for(var ci=0;ci3.3 && dd<4.7) stop=true;\n for(var cj=0;cj0.01 && g2<2.3) stop=true; } }\n if(!stop) cc.d+=cc.spd*dt;\n var rp=ringPos(cc.d); car(cb,rp[0],rp[1],cc.c,rp[2],rp[3]); }\n var toff=[.02,.02,.03];\n cb.push(em([-3.0,2.82,5.62],[0.14,0.14,0.06],tRed?[1.,.16,.12]:toff));\n cb.push(em([-3.0,2.68,5.62],[0.14,0.14,0.06],tYel?[1.,.78,.16]:toff));\n cb.push(em([-3.0,2.54,5.62],[0.14,0.14,0.06],(!tRed&&!tYel)?[.2,1.,.32]:toff));\n var bon=(t%1.4)<0.55;\n for(var bi=0;bi'+L(UNI_META.eyebrow)+''\n + '

'+L(u.name)+'

'\n + '

'+L(u.tagline)+'

'\n + '
'\n + '
'+L(UNI_META.hint)+'
';\n var details=\"\";\n for(var j=0;j'; }\n var res_html=\"\";\n for(var k=0;k '+L(c.kpis[k].cap)+''; }\n var num = (\"0\"+(j+1)).slice(-2)+\" / \"+(\"0\"+n).slice(-2);\n details += '
'\n + '
'+isoScene2(parseIso2(detailSpec(u,c,j)))+'
'\n + '
'+num+'
'\n + '
'+L(c.title)+'
'\n + '
'+L(c.desc)+'
'\n + '
'+pts_html+'
'\n + '
'+L(UNI_META.old)+'

'+L(c.oldModel)+'

'\n + '
'+L(UNI_META.wd)+'

'+L(c.withData2)+'

'\n + '
'+res_html+'
';\n }\n var more = '
'\n + '

'+L(UNI_META.moreH)+'

'+L(UNI_META.moreP)+'

'\n + '
';\n uniBody.innerHTML = hero + details + more;\n if(__dio){ try{__dio.destroy();}catch(e){} __dio=null; }\n var __glc = uniBody.querySelector(\".dioramaGL\");\n if(__glc){ try{ __dio = mountDiorama(__glc, dioramaScene(u), {hue:u.hue}); }catch(e){ if(window.console)console.error('[diorama]',e); } }\n uniBody.querySelectorAll(\".sysmap .comp\").forEach(function(cc){\n cc.addEventListener(\"click\", function(){\n var t=uniBody.querySelector('.uni-detail[data-i=\"'+cc.getAttribute(\"data-i\")+'\"]');\n if(t && uniScroll) uniScroll.scrollTo({top:t.offsetTop-24, behavior:\"smooth\"});\n });\n });\n }\n function openUni(i){ if(!uni) return; renderUniverse(i); uni.classList.add(\"on\"); if(uniScroll) uniScroll.scrollTop=0; }\n function closeUni(){ if(uni) uni.classList.remove(\"on\"); if(__dio){ try{__dio.destroy();}catch(e){} __dio=null; } }\n gcards.forEach(function(g,i){ g.addEventListener(\"click\", function(){ openUni(i); }); });\n var uclose = root.querySelector(\"#uniClose\"); if(uclose) uclose.addEventListener(\"click\", closeUni);\n window.addEventListener(\"keydown\", function(e){ if(e.key===\"Escape\") closeUni(); });\n window.__reRenderUni = function(){ if(uni && uni.classList.contains(\"on\") && currentUni>=0) renderUniverse(currentUni); };\n\n applyLang(\"pt\");\n renderProduct();\n }\n}"}}}}}},"__d2PrevCode":{"code":"export default {\n css: `\n:host,.d2site{\n --worm:linear-gradient(90deg,#9b5cff,#5b86ff,#4ddfe6,#4de0a1,#84e05a,#e8e84d,#ff6a4d,#ff4d9e,#ff6a4d,#e8e84d,#84e05a,#4de0a1,#4ddfe6,#5b86ff,#9b5cff);\n --worm-mesh:linear-gradient(125deg,#9b5cff,#5b86ff,#4ddfe6,#4de0a1,#84e05a,#e8e84d,#ff6a4d,#ff4d9e,#ff6a4d,#e8e84d,#84e05a,#4de0a1,#4ddfe6,#5b86ff,#9b5cff);\n --tile:2400px;\n --bg:#000; --panel:#0b0b0d; --panel2:#101013; --raise:#17171b;\n --line:rgba(255,255,255,.09); --line2:rgba(255,255,255,.055);\n --ink:#f2f2f5; --mut:#8a8a93; --faint:#55555e;\n --blue:#3a7bff; --blue-soft:rgba(58,123,255,.16);\n --ok:#4de0a1; --warn:#e8e84d; --bad:#ff6a4d;\n --sans:\"Helvetica Neue\",Helvetica,Arial,\"PingFang SC\",\"Hiragino Sans GB\",\"Microsoft YaHei\",\"Noto Sans CJK SC\",\"Noto Sans SC\",system-ui,sans-serif;\n --mono:ui-monospace,\"SF Mono\",Menlo,Consolas,monospace;\n --out:cubic-bezier(.22,1,.36,1); --soft:cubic-bezier(.4,0,.2,1); --spring:cubic-bezier(.34,1.4,.5,1);\n --hue:#5b86ff;\n}\n*{box-sizing:border-box;margin:0;padding:0}\n.d2site{position:relative;height:100%;overflow-y:auto;overflow-x:hidden;background:var(--bg);color:var(--ink);\n font-family:var(--sans);-webkit-font-smoothing:antialiased;line-height:1.55;scroll-behavior:smooth;scroll-snap-type:y proximity;scroll-padding-top:66px}\n.d2site a{color:inherit;text-decoration:none}\n.d2site ::selection{background:var(--blue);color:#fff}\n@keyframes flow{to{background-position:var(--tile) 0}}\n@keyframes drift{0%{background-position:0% 30%}100%{background-position:100% 70%}}\n@keyframes spin{to{transform:rotate(360deg)}}\n@keyframes orbglow{0%,100%{box-shadow:0 0 14px currentColor,inset 0 2px 6px rgba(255,255,255,.32)}50%{box-shadow:0 0 30px currentColor,inset 0 2px 6px rgba(255,255,255,.44)}}\n.mark{font-weight:500;letter-spacing:-.015em;line-height:1;font-family:var(--sans);display:inline-flex;align-items:center}\n.logo{display:block;width:auto;height:24px}\n.logo use{fill:#fff}\n.mark sup{font-size:.46em;font-weight:500;vertical-align:super;margin-left:.5px}\nheader.nav{position:sticky;top:0;z-index:50;display:flex;align-items:center;justify-content:space-between;\n padding:20px 40px;transition:background .4s var(--soft),backdrop-filter .4s,border-color .4s;border-bottom:1px solid transparent}\nheader.nav.scrolled{background:rgba(6,6,8,.72);backdrop-filter:blur(16px);-webkit-backdrop-filter:blur(16px);border-bottom:1px solid var(--line)}\nheader.nav .mark{font-size:26px}\n.navlinks{display:flex;align-items:center;gap:28px;font-size:14px}\n.navlinks a{color:rgba(255,255,255,.82);transition:color .2s}\n.navlinks a:hover{color:#fff}\n.navctl{display:flex;align-items:center;gap:14px}\n.lang{display:inline-flex;border:1px solid var(--line);border-radius:999px;overflow:hidden;font-family:var(--mono);font-size:11px}\n.lang button{background:none;border:0;color:var(--mut);cursor:pointer;padding:6px 11px;font:inherit;letter-spacing:.06em;transition:.25s var(--soft)}\n.lang button.on{background:var(--blue);color:#fff}\n.signin{border:1px solid var(--line);border-radius:999px;padding:8px 18px;font-size:13px;color:#fff;transition:.3s var(--out)}\n.signin:hover{border-color:var(--blue);box-shadow:0 0 0 3px var(--blue-soft)}\n.burger{display:none;background:none;border:0;cursor:pointer;flex-direction:column;gap:5px;padding:6px}\n.burger span{width:22px;height:2px;background:#fff;border-radius:2px}\n.btn{position:relative;display:inline-flex;align-items:center;gap:9px;overflow:hidden;border:0;cursor:pointer;font:inherit;font-weight:600;color:#08080a;padding:15px 30px;border-radius:999px;background:var(--worm);background-size:var(--tile) 100%;animation:flow 20s linear infinite;box-shadow:inset 0 1.5px 0 rgba(255,255,255,.5),inset 0 -4px 9px rgba(0,0,0,.16),0 8px 26px rgba(0,0,0,.45);transition:transform .42s var(--spring),box-shadow .3s var(--soft),filter .4s}\n.btn:hover{transform:translateY(-2px);filter:saturate(1.06) brightness(1.03);box-shadow:inset 0 1.5px 0 rgba(255,255,255,.55),inset 0 -4px 9px rgba(0,0,0,.16),0 16px 40px rgba(155,92,255,.32)}\n.btn:active{transform:translateY(0) scale(.96)}\n.btn.ghost{background:transparent;color:var(--ink);box-shadow:inset 0 0 0 1.5px var(--line);animation:none}\n.btn.ghost:hover{box-shadow:inset 0 0 0 1.5px var(--blue),0 0 0 3px var(--blue-soft);filter:none}\nsection{position:relative;padding:clamp(80px,11vh,150px) 40px;min-height:100vh;display:flex;flex-direction:column;justify-content:center}\n#essence,#levers,#deliver{background:rgba(255,255,255,.014)}\n.wrap{width:100%;max-width:1200px;margin:0 auto}\n.sec-t{font-size:clamp(30px,4.6vw,58px);font-weight:800;letter-spacing:-.02em;line-height:1.04;margin-top:14px;text-wrap:balance}\n.sec-sub{color:var(--mut);font-size:17px;line-height:1.55;margin-top:16px;max-width:60ch}\n.eyebrow{font-family:var(--mono);font-size:12px;letter-spacing:.24em;text-transform:uppercase;color:var(--faint)}\n.reveal{opacity:0;transform:translateY(24px);transition:opacity .8s var(--out),transform .8s var(--out)}\n.reveal.in{opacity:1;transform:none}\n#hero{padding:0;min-height:calc(100vh - 66px);overflow:hidden;scroll-snap-align:start;background:#000}\n#hero .herofx{position:absolute;inset:0;width:100%;height:100%;z-index:0;display:block}\n#hero .corner{position:absolute;inset:0;pointer-events:none;background:radial-gradient(46% 42% at -2% -4%,rgba(255,90,210,.55),transparent 62%)}\n#hero .vig{position:absolute;inset:0;pointer-events:none;background:radial-gradient(140% 110% at 50% 20%,transparent 38%,rgba(4,8,7,.72) 100%)}\n#hero .inner{position:relative;z-index:2;min-height:calc(100vh - 66px);display:flex;flex-direction:column;align-items:center;justify-content:center;text-align:center;padding:80px 40px 90px}\n.h1{font-size:clamp(44px,8.6vw,124px);line-height:.9;font-weight:800;letter-spacing:-.02em;text-transform:uppercase;text-wrap:balance;text-shadow:0 2px 40px rgba(0,0,0,.22)}\n.hero-kicker{font-family:var(--mono);font-size:clamp(11px,1.25vw,13px);letter-spacing:.22em;text-transform:uppercase;color:rgba(255,255,255,.62);margin-bottom:26px;font-weight:500}\n#hero .sub{margin-top:30px;max-width:640px;font-size:clamp(16px,2vw,21px);line-height:1.5;color:rgba(255,255,255,.94);font-weight:400;text-wrap:balance}\n#hero .cta{margin-top:44px;display:flex;gap:14px;flex-wrap:wrap;justify-content:center;align-items:center}\n#hero .cta .btn{color:#0a0a0c}\n#hero .cta .btn:not(.ghost){padding:17px 36px;font-size:16px;font-weight:700}\n#hero .cta .btn.ghost{padding:14px 26px;opacity:.9}\n#hero .cta .btn.ghost{color:#fff;box-shadow:inset 0 0 0 1.5px rgba(255,255,255,.5)}\n#hero .cta .btn.ghost:hover{box-shadow:inset 0 0 0 1.5px #fff}\n.herostrip{margin-top:52px;display:flex;flex-direction:column;align-items:center;gap:16px;width:100%;max-width:820px}\n.hs-clients{display:flex;flex-wrap:wrap;align-items:center;justify-content:center;gap:8px 14px;font-size:14px}\n.hs-clients .hs-lead{font-family:var(--mono);font-size:11px;letter-spacing:.14em;text-transform:uppercase;color:var(--faint)}\n.hs-clients .hs-logos{font-weight:600;color:rgba(255,255,255,.72)}\n.hs-steps{display:flex;flex-wrap:wrap;align-items:center;justify-content:center;gap:10px 16px;font-size:13px;color:var(--mut)}\n.hs-step b{color:#fff;font-weight:700}\n.hs-arrow{color:var(--blue)}\n@media(max-width:600px){.herostrip{margin-top:34px}.hs-steps{font-size:12px}}\n.credit{position:absolute;right:40px;bottom:34px;z-index:2;width:280px;text-align:right;background:rgba(6,10,9,.5);backdrop-filter:blur(8px);-webkit-backdrop-filter:blur(8px);border:1px solid rgba(255,255,255,.08);border-radius:10px;padding:12px 15px}\n.credit b{font-size:10px;font-weight:700;display:block;margin-bottom:4px;letter-spacing:.02em}\n.credit p{font-size:10px;line-height:1.5;color:rgba(255,255,255,.72)}\n.scrollcue{position:absolute;left:50%;bottom:30px;z-index:2;transform:translateX(-50%);font-family:var(--mono);font-size:10px;letter-spacing:.22em;color:rgba(255,255,255,.7);text-transform:uppercase;display:flex;flex-direction:column;align-items:center;gap:8px}\n.scrollcue i{width:1px;height:34px;background:linear-gradient(rgba(255,255,255,.8),transparent);display:block}\n#essence{border-bottom:1px solid var(--line)}\n.triad{display:grid;grid-template-columns:repeat(3,1fr);gap:20px;margin-top:46px}\n.tri{border:1px solid var(--line);border-radius:18px;background:var(--panel);padding:32px 30px;display:flex;flex-direction:column;transition:transform .45s var(--spring),box-shadow .4s,border-color .4s}\n.tri:hover{transform:translateY(-3px);box-shadow:0 22px 60px rgba(0,0,0,.5);border-color:rgba(255,255,255,.16)}\n.tri .accent{height:6px;width:56px;border-radius:999px;background:var(--worm);background-size:var(--tile) 100%;animation:flow 15s linear infinite;margin-bottom:22px}\n.tri .q{font-family:var(--mono);font-size:12px;letter-spacing:.2em;text-transform:uppercase;color:var(--faint);margin-bottom:12px}\n.tri h3{font-size:clamp(21px,2.3vw,28px);font-weight:800;letter-spacing:-.01em;line-height:1.08;margin-bottom:14px;text-wrap:balance}\n.tri p{color:var(--mut);font-size:15.5px;line-height:1.55}\n.tri em{font-style:normal;background:var(--worm);background-size:var(--tile) 100%;-webkit-background-clip:text;background-clip:text;color:transparent;animation:flow 15s linear infinite}\n.tri .foot{margin-top:auto;padding-top:22px}\n.tri .foot .prod-row{gap:8px}\n.tri .foot .chip{padding:5px 10px;font-size:10.5px}\n.tri .inames{display:flex;flex-wrap:wrap;gap:8px 12px;margin-top:auto;padding-top:22px;font-size:14px;color:var(--ink);font-weight:500}\n.baband{display:grid;grid-template-columns:1fr auto 1fr;gap:28px;align-items:center;margin-top:22px;border:1px solid var(--line);border-radius:20px;background:var(--panel2);padding:26px 32px}\n.baband .k{font-family:var(--mono);font-size:11px;letter-spacing:.2em;text-transform:uppercase;color:var(--faint);margin-bottom:8px}\n.baband .before p{color:var(--faint);text-decoration:line-through;text-decoration-color:rgba(255,106,77,.5);font-size:15px}\n.baband .arrow{color:var(--blue);font-size:26px;line-height:1}\n.baband .after p{color:var(--ink);font-size:15px}\n#glance{border-bottom:1px solid 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var(--hue);flex:none}\n.acc-name{font-size:clamp(18px,2.2vw,24px);font-weight:700;letter-spacing:-.01em}\n.acc-val{color:var(--mut);font-size:14px;margin-left:auto;text-align:right}\n.acc-chev{flex:none;color:var(--faint);transition:transform .35s var(--spring),color .3s;font-size:20px;line-height:1;margin-left:14px}\n.acc-item.open .acc-chev{transform:rotate(90deg);color:var(--hue)}\n.acc-body{max-height:0;overflow:hidden;transition:max-height .5s var(--out)}\n.acc-item.open .acc-body{max-height:1200px}\n.universe{max-height:640px;overflow-y:auto;padding:6px 26px 30px 52px}\n.uni-head{margin-bottom:22px}\n.uni-head h3{font-size:clamp(20px,2.4vw,28px);font-weight:800;letter-spacing:-.01em}\n.uni-head p{color:var(--mut);font-size:15px;margin-top:6px;max-width:60ch}\n.uni-grid{display:grid;grid-template-columns:repeat(2,1fr);gap:14px}\n.deliv{border:1px solid var(--line);border-radius:14px;background:rgba(12,12,15,.5);padding:18px;display:flex;gap:16px;align-items:flex-start;transition:border-color .3s,transform .3s}\n.deliv:hover{border-color:color-mix(in srgb,var(--hue) 50%,var(--line));transform:translateY(-2px)}\n.iso{width:84px;height:78px;flex:none;display:flex;align-items:center;justify-content:center}\n.iso svg{width:100%;height:100%;overflow:visible;filter:drop-shadow(0 0 3px var(--hue)) drop-shadow(0 0 9px color-mix(in srgb,var(--hue) 55%,transparent))}\n.iso svg .f{fill:color-mix(in srgb,var(--hue) 16%,transparent)}\n.iso svg .s{fill:none;stroke:var(--hue);stroke-width:2;stroke-linejoin:round;stroke-linecap:round}\n.iso svg .dot{fill:var(--hue)}\n.deliv-tx{display:flex;flex-direction:column;gap:5px}\n.deliv-t{font-size:15px;font-weight:700;letter-spacing:-.01em}\n.deliv-d{font-size:13px;color:var(--mut);line-height:1.45}\n.uni-prods{display:flex;flex-wrap:wrap;gap:8px;margin-top:20px;align-items:center}\n.uni-prods .lbl{font-family:var(--mono);font-size:11px;letter-spacing:.14em;text-transform:uppercase;color:var(--faint);margin-right:4px}\n@media(max-width:640px){.uni-grid{grid-template-columns:1fr}.universe{padding-left:26px}}\n.acc-inner{padding:2px 26px 28px 52px;display:flex;flex-wrap:wrap;gap:22px 44px;align-items:flex-start}\n.acc-caps{display:flex;flex-direction:column;gap:10px;flex:1;min-width:260px}\n.acc-cap{display:flex;align-items:center;gap:10px;font-size:14px;color:var(--ink)}\n.acc-cap .d{width:6px;height:6px;border-radius:50%;background:var(--hue);flex:none}\n.acc-prods{display:flex;flex-wrap:wrap;gap:8px;align-items:flex-start;max-width:300px}\n@media(max-width:640px){.acc-val{display:none}.acc-inner{padding-left:26px}}\n#threads{border-top:1px solid var(--line);min-height:auto;padding:90px 40px}\n.threads-grid{display:grid;grid-template-columns:repeat(3,1fr);gap:1px;background:var(--line);border:1px solid var(--line);border-radius:18px;overflow:hidden;margin-top:40px}\n.thread{background:var(--panel);padding:30px 26px;transition:background .4s}\n.thread:hover{background:var(--panel2)}\n.thread .t{font-size:18px;font-weight:600;margin-bottom:8px}\n.thread .d{color:var(--mut);font-size:14px}\n.thread .n{font-family:var(--mono);font-size:11px;color:var(--faint);letter-spacing:.16em}\n#levers{border-top:1px solid var(--line);min-height:auto}\n.levers-grid{display:grid;grid-template-columns:repeat(4,1fr);gap:1px;background:var(--line);border:1px solid var(--line);border-radius:18px;overflow:hidden;margin-top:40px}\n.lever{background:var(--panel);padding:28px 24px;display:flex;flex-direction:column;gap:9px;transition:background .4s}\n.lever:hover{background:var(--panel2)}\n.lever .lv-cap{font-family:var(--mono);font-size:10.5px;letter-spacing:.16em;text-transform:uppercase;color:var(--faint)}\n.lever .lv-num{font-size:clamp(30px,3.6vw,44px);font-weight:800;letter-spacing:-.02em;line-height:1;color:#fff}\n.lever .lv-num b{background:var(--worm);background-size:var(--tile) 100%;-webkit-background-clip:text;background-clip:text;color:transparent;animation:flow 16s linear infinite;font-weight:800}\n.lever .lv-txt{font-size:13.5px;color:var(--mut);line-height:1.42}\n@media(max-width:900px){.levers-grid{grid-template-columns:1fr 1fr}}\n@media(max-width:560px){.levers-grid{grid-template-columns:1fr}}\n#platform{border-top:1px solid var(--line)}\n.plat-sub{color:var(--mut);font-size:18px;margin-top:18px;max-width:60ch}\n.flow-strip{position:relative;display:flex;flex-wrap:wrap;margin-top:40px;border:1px solid var(--line);border-radius:16px;overflow:hidden;background:var(--panel)}\n.flow-strip::before{content:\"\";position:absolute;top:0;left:0;right:0;height:3px;background:var(--worm);background-size:var(--tile) 100%;animation:flow 12s linear infinite;z-index:1}\n.fnode{flex:1;min-width:130px;padding:26px 16px;text-align:center;border-right:1px solid var(--line)}\n.fnode:last-child{border-right:0}\n.fn-code{font-family:var(--mono);font-size:13px;letter-spacing:.1em;font-weight:600;color:var(--ink)}\n.fn-lbl{font-size:12.5px;color:var(--mut);margin-top:7px}\n.eng-row{display:flex;flex-wrap:wrap;align-items:center;gap:10px 12px;margin-top:26px}\n.eng-row .eng-lead{font-family:var(--mono);font-size:11px;letter-spacing:.16em;text-transform:uppercase;color:var(--faint)}\n.eng-chip{font-family:var(--mono);font-size:11px;color:var(--mut);border:1px solid var(--line);border-radius:8px;padding:6px 11px}\n@media(max-width:600px){.fnode{flex:1 0 50%;border-bottom:1px solid var(--line)}}\n#alternatives{border-top:1px solid var(--line)}\n.alt-pills{display:flex;flex-wrap:wrap;gap:10px;margin-top:34px}\n.alt-pill{font-family:var(--mono);font-size:12px;letter-spacing:.06em;border:1px solid var(--line);border-radius:999px;padding:9px 16px;color:var(--mut);text-decoration:line-through;text-decoration-color:rgba(255,106,77,.5)}\n.alt-verdict{margin-top:24px;font-size:clamp(20px,3.2vw,34px);font-weight:800;letter-spacing:-.01em;text-wrap:balance}\n.alt-nos{display:flex;flex-wrap:wrap;gap:14px 22px;margin-top:22px}\n.alt-no{display:flex;align-items:center;gap:9px;font-size:15px;color:var(--mut)}\n.alt-no .x{color:var(--bad);font-weight:800;font-family:var(--mono)}\n.alt-counter{margin-top:32px;padding-top:26px;border-top:1px solid var(--line);font-size:clamp(18px,2.4vw,26px);font-weight:700;letter-spacing:-.01em}\n.alt-counter em{font-style:normal;background:var(--worm);background-size:var(--tile) 100%;-webkit-background-clip:text;background-clip:text;color:transparent;animation:flow 15s linear infinite}\n#products{border-top:1px solid var(--line)}\n.prod-wrap{display:grid;grid-template-columns:minmax(340px,440px) 1fr;gap:70px;align-items:center;margin-top:20px}\n.ring{position:relative;width:100%;aspect-ratio:1;max-width:440px;margin:0 auto}\n.ring .orb{position:absolute;width:15.5%;aspect-ratio:1;border-radius:50%;transform:translate(-50%,-50%);cursor:pointer;box-shadow:0 0 20px currentColor,inset 0 2px 6px rgba(255,255,255,.35);animation:orbglow 4.5s ease-in-out infinite;transition:transform .4s var(--spring),filter .3s}\n.ring .orb:hover,.ring .orb.on{transform:translate(-50%,-50%) scale(1.22);filter:brightness(1.12)}\n.ring .orb::after{content:attr(data-code);position:absolute;left:50%;top:118%;transform:translateX(-50%);font-family:var(--mono);font-size:10px;letter-spacing:.12em;color:var(--mut);white-space:nowrap}\n.ring .center{position:absolute;left:50%;top:50%;transform:translate(-50%,-50%);text-align:center}\n.ring .center .mark{font-size:40px;color:#fff}\n.ring .center small{display:block;font-family:var(--mono);font-size:10px;letter-spacing:.2em;color:var(--faint);margin-top:6px;text-transform:uppercase}\n.prod-detail .code{font-family:var(--mono);font-size:13px;letter-spacing:.18em;color:var(--pc,#fff)}\n.prod-detail h3{font-size:clamp(26px,3.4vw,40px);font-weight:800;letter-spacing:-.01em;margin:8px 0 14px;text-wrap:balance}\n.prod-detail p{color:var(--mut);font-size:18px;max-width:40ch}\n.prod-detail .what{color:var(--faint);font-family:var(--mono);font-size:12px;letter-spacing:.06em;margin-top:16px;text-transform:uppercase}\n.prod-detail .soon{display:inline-block;margin-left:8px;font-family:var(--mono);font-size:10px;color:#08080a;background:var(--warn);border-radius:999px;padding:2px 8px;letter-spacing:.1em}\n.prod-showcase{display:flex;flex-direction:column;align-items:center;gap:6px}\n.prod-showcase .ring{margin:16px auto 6px}\n.pgrid{display:grid;grid-template-columns:repeat(4,1fr);gap:16px;margin-top:34px;width:100%}\n.pcard{border:1px solid var(--line);border-radius:18px;background:var(--panel);padding:18px 18px 20px;display:flex;flex-direction:column;gap:7px;transition:transform .4s var(--spring),border-color .4s,background .4s}\n.pcard:hover{transform:translateY(-3px);border-color:color-mix(in srgb,var(--pc) 55%,var(--line));background:var(--panel2)}\n.pcard .ptop{display:flex;align-items:center;gap:9px}\n.pcard .pcdot{width:10px;height:10px;border-radius:50%;background:var(--pc);box-shadow:0 0 12px var(--pc);flex:none}\n.pcard .pccode{font-family:var(--mono);font-size:12px;letter-spacing:.14em;color:var(--pc)}\n.pcard .pcname{font-size:16px;font-weight:700;letter-spacing:-.01em}\n.pcard .pctag{font-size:13px;color:var(--mut);line-height:1.45}\n.pcard .soon{margin-left:auto;font-family:var(--mono);font-size:9px;letter-spacing:.1em;color:#08080a;background:var(--warn);border-radius:999px;padding:2px 7px}\n@media(max-width:900px){.pgrid{grid-template-columns:1fr 1fr}}\n@media(max-width:560px){.pgrid{grid-template-columns:1fr}}\n#deliver{border-top:1px solid var(--line)}\n.deliver-grid{display:grid;grid-template-columns:1fr 1fr;gap:24px;margin-top:44px}\n.card{border:1px solid var(--line);border-radius:18px;background:var(--panel);padding:34px;position:relative;overflow:hidden;transition:transform .45s var(--spring),box-shadow .4s,border-color .4s}\n.card:hover{transform:translateY(-3px);box-shadow:0 22px 60px rgba(0,0,0,.5);border-color:rgba(255,255,255,.16)}\n.card .accent{height:6px;border-radius:999px;background:var(--worm);background-size:var(--tile) 100%;animation:flow 15s linear infinite;margin-bottom:22px;width:64px}\n.card h3{font-size:26px;font-weight:700;letter-spacing:-.01em;margin-bottom:10px}\n.card>p{color:var(--mut);font-size:16px;margin-bottom:20px;max-width:42ch}\n.flavors{display:flex;gap:10px;flex-wrap:wrap}\n.flavor{font-family:var(--mono);font-size:12px;letter-spacing:.08em;border:1px solid var(--line);border-radius:10px;padding:9px 14px;color:var(--ink)}\n.card .own{font-size:clamp(28px,3.6vw,44px);font-weight:800;letter-spacing:-.02em;line-height:1;margin-bottom:14px}\n.card .own em{font-style:normal;background:var(--worm);background-size:var(--tile) 100%;-webkit-background-clip:text;background-clip:text;color:transparent;animation:flow 15s linear infinite}\n.fde-band{margin-top:26px;display:flex;flex-wrap:wrap;align-items:center;justify-content:space-between;gap:16px;border:1px solid var(--line);border-radius:16px;background:var(--panel2);padding:22px 28px}\n.fde-flow{display:flex;flex-wrap:wrap;align-items:center;gap:12px;font-size:clamp(16px,2vw,22px);font-weight:700;letter-spacing:-.01em}\n.fde-flow i{color:var(--blue);font-style:normal;font-weight:400}\n.fde-pay{font-family:var(--mono);font-size:13px;letter-spacing:.06em;color:var(--mut)}\n.cta-kicker{font-family:var(--mono);font-size:12px;letter-spacing:.22em;text-transform:uppercase;color:var(--faint);margin-bottom:20px}\n#cta .cta-row{display:flex;gap:14px;flex-wrap:wrap;justify-content:center}\n#cta{border-top:1px solid var(--line);text-align:center;align-items:center}\n#cta .big{font-size:clamp(34px,6vw,84px);font-weight:800;letter-spacing:-.02em;line-height:.95;text-transform:uppercase;text-wrap:balance}\n#cta .sub{color:var(--mut);font-size:19px;margin:22px auto 40px;max-width:44ch}\nfooter{padding:60px 40px 50px;border-top:1px solid var(--line);background:var(--panel)}\n.foot{max-width:1180px;margin:0 auto;display:flex;justify-content:space-between;align-items:flex-start;gap:40px;flex-wrap:wrap}\n.foot .mark{font-size:30px}\n.foot .cols{display:flex;gap:60px;flex-wrap:wrap}\n.foot .fc h5{font-family:var(--mono);font-size:11px;letter-spacing:.16em;text-transform:uppercase;color:var(--faint);margin-bottom:14px}\n.foot .fc a{display:block;color:var(--mut);font-size:14px;margin-bottom:9px;transition:color .2s}\n.foot .fc a:hover{color:#fff}\n.foot .fine{width:100%;border-top:1px solid var(--line);margin-top:36px;padding-top:22px;display:flex;justify-content:space-between;color:var(--faint);font-size:12px;font-family:var(--mono);letter-spacing:.04em;flex-wrap:wrap;gap:10px}\n.rail{position:absolute;right:22px;transform:translateY(-50%);z-index:40;display:flex;flex-direction:column;gap:12px}\n.rail a{width:9px;height:9px;border-radius:50%;border:1.4px solid rgba(255,255,255,.4);transition:.3s var(--spring)}\n.rail a.on{background:#fff;border-color:#fff;transform:scale(1.15)}\n.rail a:hover{border-color:#fff}\n@media(max-width:900px){\n .navlinks{display:none}\n .burger{display:flex}\n header.nav.open .navlinks{display:flex;position:absolute;top:100%;left:0;right:0;flex-direction:column;gap:0;background:rgba(6,6,8,.96);backdrop-filter:blur(16px);padding:10px 40px 24px;border-bottom:1px solid var(--line)}\n header.nav.open .navlinks a{padding:12px 0;border-bottom:1px solid var(--line2)}\n section{padding:90px 24px}\n .industry .inner{grid-template-columns:1fr;gap:34px}\n .threads-grid{grid-template-columns:1fr}\n .prod-wrap{grid-template-columns:1fr;gap:40px}\n .deliver-grid{grid-template-columns:1fr}\n .triad{grid-template-columns:1fr}\n .baband{grid-template-columns:1fr;gap:12px}\n .baband .arrow{transform:rotate(90deg)}\n .rail{display:none}\n .credit{display:none}\n}\n`,\n render(d2){\n return `
\n\n
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\n Entrar\n \n
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One-stop-shop for enterprise-scale enabling solutions
\n

EM ESCALA.\" data-en=\"EXPRESS YOURSELF
AT SCALE.\">EXPRESSE-SE
EM ESCALA.

\n

Do problema de negócio ao software em produção.

\n
\n Ver o que é possível\n Agendar demo\n
\n
\n
Já em produção comNatura · XP · Americanas · Whirlpool · Arcadis · Raízen
\n
30 min mapeamos onde dói→2–4 semanas sprint com engenheiro embarcado→Em produção seu time é dono
\n
\n
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\n Imagens do Projeto Synthesys da Data².\n

.

\n
\n
ROLE
\n
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\n
\n

A Data² em uma tela

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O que vemos, o que fazemos e para quem.

\n
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O que vemos
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software esperando pra existir.\" data-en=\"Every area has software waiting to exist.\">.

\n

.

\n
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O que fazemos
\n

software de verdade.\" data-en=\"A suite that becomes real software.\">.

\n

.

\n
UIREGISTRYMEDIAIDCONNECTDOMAINRUSHCASHIER
\n
\n
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Para quem
\n

tem o problema.\" data-en=\"For the area that owns the problem.\">.

\n

.

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RH · Supply · Financeiro · CX · Varejo · Vendas · BI · Seguros · Compras
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Antes

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\n
→
\n
Com a Data²

.

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\n

Panorama

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As frentes onde já entregamos

\n
\n
01RH & Pessoas.
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02Supply & Operações.
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03Serviços Financeiros.
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04CX & Contact Center.
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05Varejo & E-commerce.
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06Força de Vendas.
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07BI & Analytics.
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08Seguros & CX.
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09Compras & Procurement.
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${d2.render('www@nUYyYfWeNHEK6YeaD5kcd',{},{style:'display:block;width:100%;height:86vh'})}
\n\n
\n

Times de negócio já constroem na Data²

\n
\n NaturaXPAmericanasVivaraAvonJustos\n
\n
\n
\n
\n

O que é possível

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Uma plataforma. Toda indústria.

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.

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RH & Pessoas.›
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UICONNECTRUSHIDA.I.
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Supply & Operações.›
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UIREGISTRYCONNECTRUSH
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Serviços Financeiros.›
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CONNECTRUSHUIIDA.I.
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CX & Contact Center.›

CX & Contact Center

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ProdutosCONNECTRUSHA.I.UIMEDIA
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Varejo & E-commerce.›
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UICONNECTREGISTRYMEDIA
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Força de Vendas.›
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UICONNECTRUSHA.I.REGISTRY
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BI & Analytics.›
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REGISTRYCONNECTRUSHUI
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Seguros & CX.›
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A.I.CONNECTREGISTRYUI
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Compras & Procurement.›
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UIREGISTRYCONNECTRUSH
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01 — 09
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RH & Pessoas
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milhares de colaboradores, em vários idiomas — na hora.\" data-en=\"An HR that answers thousands of employees, in multiple languages — instantly.\">.
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Assistente de AI para o colaborador
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Transbordo para atendimento humano
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Leitura de documentos (OCR)
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Respostas e regras configuráveis pela área
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Analytics e CSAT
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ProdutosUICONNECTRUSHIDA.I.
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02 — 09
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Supply & Operações
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sobra de estoque em plano de produção priorizado — em minutos, não semanas.\" data-en=\"Turn leftover stock into a prioritized production plan — in minutes, not weeks.\">.
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Simulação de cenários de produção
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Explosão de estrutura (BOM)
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Score de economia e viabilidade
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SQL self-service sobre o data lake
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Exportação para planilha
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ProdutosUIREGISTRYCONNECTRUSH
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03 — 09
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Serviços Financeiros
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1-a-1 personalizada por AI, em escala de milhares — operada pelo próprio time comercial.\" data-en=\"AI-personalized 1-to-1 outreach at a scale of thousands — run by the commercial team itself.\">.
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CRM + automação de outreach
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Ondas de mensagens omnichannel
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Copy gerada por AI no tom do lead
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Modelagem de proposta e ROI
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SSO corporativo
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ProdutosCONNECTRUSHUIIDA.I.
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04 — 09
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CX & Contact Center
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contact center inteiro — do widget no site à automação de fila — numa plataforma só.\" data-en=\"An entire contact center — from the on-site widget to queue automation — on a single platform.\">.
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Webchat omnichannel
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Bot de triagem com AI
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Transbordo bot → humano
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Workspace de agente + console de supervisor
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Automação de filas e CSAT
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ProdutosCONNECTRUSHA.I.UIMEDIA
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05 — 09
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Varejo & E-commerce
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vitrine ao ERP: experiências de compra sob medida, com os dados reais do seu e-commerce.\" data-en=\"From storefront to ERP: tailor-made buying experiences, with your e-commerce's real data.\">.
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Experiências de catálogo e produto
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Integração VTEX / GraphQL
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Estúdio de foto com AI
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ERP e operações de loja
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ProdutosUICONNECTREGISTRYMEDIA
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06 — 09
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Força de Vendas
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copiloto de vendas que diz a cada vendedor a próxima melhor ação — em linguagem natural.\" data-en=\"A sales copilot that tells each rep the next best action — in natural language.\">.
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Copiloto de vendas em linguagem natural
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Recomendação de próxima melhor ação
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Busca de clientes e segmentos com AI
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Painéis de performance da carteira
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Geração de conteúdo e imagem com AI
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ProdutosUICONNECTRUSHA.I.REGISTRY
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07 — 09
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BI & Analytics
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dado vivo ao plano de ação — painéis que a área lê e age, sem exportar pra planilha.\" data-en=\"From live data to an action plan — dashboards the team reads and acts on, no spreadsheet export.\">.
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Painéis executivos sobre dado vivo
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Ingestão diária automatizada
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Metas e plano de ação acompanhados
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Alertas e monitoramento
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ProdutosREGISTRYCONNECTRUSHUI
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08 — 09
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Seguros & CX
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responde na fonte certa — base de conhecimento com busca semântica e triagem por AI.\" data-en=\"Support that answers from the right source — a semantic knowledge base with AI triage.\">.
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Base de conhecimento com busca semântica
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Triagem e atendimento com AI
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Respostas ancoradas na fonte
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Analytics de atendimento
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ProdutosA.I.CONNECTREGISTRYUI
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09 — 09
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Compras & Procurement
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Excelência em compras: modelagem financeira e planejamento de fornecimento, simulados em minutos.\" data-en=\"Procurement excellence: financial modeling and supply planning, simulated in minutes.\">.
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Planejamento de fornecimento
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Modelagem financeira de cenários
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Simuladores e croquis de decisão
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Compras orientadas a dado
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ProdutosUIREGISTRYCONNECTRUSH
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Em toda indústria

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O mesmo motor, seja qual for o problema

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A.I.
AI embutida
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OMNI
Omnichannel
.
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DATA
Dados reais + integrações
.
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AUTO
Automação
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VIEW
Dashboards
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NOCODE
Sem código
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Resultados

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No fim do dia, movemos KPIs.

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.

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Contact Center90%\" data-en=\"up to 90%\" data-zh=\"高达 90%\">..
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NPS+26 pts\" data-en=\"+26 pts\" data-zh=\"+26 分\">..
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Conversão+20%\" data-en=\"+20%\" data-zh=\"+20%\">..
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Operações−85%\" data-en=\"−85%\" data-zh=\"−85%\">..
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Comprasmilhões\" data-en=\"millions\" data-zh=\"数百万\">..
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Time-to-market30 dias\" data-en=\"30 days\" data-zh=\"30 天\">..
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Escala100k+/dia\" data-en=\"100k+/day\" data-zh=\"每日 10万+\">..
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Retenção85%\" data-en=\"85%\" data-zh=\"85%\">..
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A Suíte

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Oito produtos. Um só sistema.

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8 produtos · 1 sistema
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UI
Interface
.
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REGISTRY
Dados
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MEDIA
Mídia
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ID
Identidade
.
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CONNECT
Integrações
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DOMAIN
Domínio · AI
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RUSH
Automação
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CASHIERSOON
Pagamentos
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A plataforma

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Escrita desde 2020. Não embrulhada.

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.

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EVENTO
entra
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RUSH
decide
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CONNECT · DOMAIN
AI + integrações
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REGISTRY
dados
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DATASET
reativo
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UI
em tela
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\n Nível de engenharia\n Auth & SSOKey VaultsSSRCronWebSocketsLogsSemantic SearchStaging → Publish\n
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Como entregamos

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Nossa stack. Nossos serviços.

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Sprints

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.

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Forward Deployed EngineersIdeaçãoDesignProtótipo
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Seus dados são seus.\" data-en=\"Own your data.\">.
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Domain-DrivenLinguagem única de dados
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Seu time aprende→é dono→evolui
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Pague por entrega, não por hora.
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Pronto pra começar?

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à produção.\" data-en=\"From problem
to production.\">Do problema
à produção.

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.

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Agendar uma demoFalar com a gente
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Universo
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CX & Contact Center

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\n \n \n \n \n \n Webchat\n Bot de triagem\n Transbordo\n Console\n Filas & CSAT\n
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Passe o mouse · clique um componente · role
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01 / 05
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100k+ atendimentos/dia
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−50% tempo de resolução
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100% do contexto preservado
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1 tela para toda a operação
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05 / 05
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85% retenção+26 NPS
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Qualquer coisa pode ser construída.\" data-en=\"And this is just the start. Anything can be built.\" data-zh=\"而这只是开始。任何东西都能被构建。\">.

.

Agendar uma demo
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`;\n },\n mounted(d2, root){\n var mq = window.matchMedia && window.matchMedia(\"(prefers-reduced-motion: reduce)\");\n var reduce = mq ? mq.matches : false;\n var sc = root.querySelector(\".d2site\");\n if(!sc) return;\n var lang = \"pt\";\n var ZH = {\n \"Industries\": \"行业方案\",\n \"Products\": \"产品\",\n \"How we deliver\": \"交付方式\",\n \"Customers\": \"客户\",\n \"Demo\": \"演示\",\n \"Sign in\": \"登录\",\n \"EXPRESS YOURSELF
AT SCALE.\": \"尽情表达，
规模无限。\",\n \"From a business problem to software in production. Data² is the suite that turns any team into the team that ships.\": \"从业务难题到上线软件。Data² 让每一个团队都成为能交付的团队。\",\n \"See what's possible\": \"看看能实现什么\",\n \"Book a demo\": \"预约演示\",\n \"Imagery from the Data² Synthesys Project.\": \"图像来自 Data² Synthesys 项目。\",\n \"Synthesys is a concept created and captured by Lívia Elektra, representing the power of expression and freedom that Data² provides.\": \"Synthesys 是 Lívia Elektra 创作并捕捉的概念，象征 Data² 所带来的表达力与自由。\",\n \"SCROLL\": \"向下滚动\",\n \"Data² in one screen\": \"一屏读懂 Data²\",\n \"What we see, what we do, and who for.\": \"我们看见什么、我们做什么、为谁而做。\",\n \"What we see\": \"我们看见什么\",\n \"Every area has software waiting to exist.\": \"每个业务部门，都有一款等待诞生的软件。\",\n \"Technology already lets us build almost anything. What was missing is the direct bridge between the people who know the problem and the solution running in production.\": \"技术早已能构建几乎一切。所缺的，是让懂问题的人与上线运行的方案之间，直接搭起的那座桥。\",\n \"What we do\": \"我们做什么\",\n \"A suite that becomes real software.\": \"一套真正变成软件的套件。\",\n \"8 products with AI, omnichannel, real data, automation and dashboards — assembled in the visual builder and shipped to production. No code.\": \"8 款产品，涵盖 AI、全渠道、真实数据、自动化与仪表盘 —— 在可视化构建器中组装，直接上线生产。无需代码。\",\n \"Who for\": \"为谁而做\",\n \"For the area that owns the problem.\": \"为真正面对问题的那个部门。\",\n \"Business teams at large companies that won't wait anymore. We are the enablers between the idea and production.\": \"为不愿再等待的大型企业业务团队。我们，是连接创意与生产的赋能者。\",\n \"HR · Supply · Financial · CX · Retail · Sales · BI · Insurance · Procurement\": \"人力 · 供应 · 财务 · 客户体验 · 零售 · 销售 · 商业智能 · 保险 · 采购\",\n \"Before\": \"过去\",\n \"From idea to delivery: many hands, many translations, a lot of time.\": \"从创意到交付：经手无数、层层转译、耗时漫长。\",\n \"With Data²\": \"有了 Data²\",\n \"The business area itself designs, connects the real data, ships and operates. In production.\": \"业务部门亲手设计、接入真实数据、发布并运营。直接在生产环境。\",\n \"At a glance\": \"概览\",\n \"Where we already deliver\": \"我们已交付的领域\",\n \"HR & People\": \"人力资源与员工\",\n \"AI employee support\": \"AI 员工服务\",\n \"Supply & Operations\": \"供应链与运营\",\n \"Scenarios into production plans\": \"情景转化为生产计划\",\n \"Financial Services\": \"金融服务\",\n \"AI-personalized outreach\": \"AI 个性化触达\",\n \"CX & Contact Center\": \"客户体验与呼叫中心\",\n \"A contact center on one platform\": \"一体化呼叫中心\",\n \"Retail & E-commerce\": \"零售与电商\",\n \"From storefront to ERP\": \"从门店到 ERP\",\n \"Sales Enablement\": \"销售赋能\",\n \"A sales copilot for the field\": \"一线销售副驾\",\n \"BI & Analytics\": \"商业智能与分析\",\n \"Live data to action plan\": \"从实时数据到行动计划\",\n \"Insurance & CX\": \"保险与客户体验\",\n \"Semantic knowledge base\": \"语义知识库\",\n \"Procurement\": \"采购\",\n \"Sourcing modeling & planning\": \"采购建模与规划\",\n \"Built on Data² by\": \"他们在 Data² 上构建\",\n \"Business teams already build on Data²\": \"业务团队已在 Data² 上构建\",\n \"What's possible\": \"无限可能\",\n \"One platform. Every industry.\": \"一个平台，服务每个行业。\",\n \"We don't sell slides. Each frontier below is real software, in production, built by the business area itself.\": \"我们不卖幻灯片。以下每一个领域，都是真实、上线、由业务部门亲手构建的软件。\",\n \"An HR that answers thousands of employees, in multiple languages — instantly.\": \"一个能即时回应数千名员工、支持多语言的人力资源。\",\n \"AI assistant for employees\": \"面向员工的 AI 助手\",\n \"Handoff to human agents\": \"转接人工客服\",\n \"Document reading (OCR)\": \"文档识别（OCR）\",\n \"Answers & rules configured by the team\": \"答案与规则由业务团队配置\",\n \"Analytics & CSAT\": \"分析与满意度（CSAT）\",\n \"Turn leftover stock into a prioritized production plan — in minutes, not weeks.\": \"把过剩库存变成有优先级的生产计划 —— 只需几分钟，而非数周。\",\n \"Production scenario simulation\": \"生产情景模拟\",\n \"Bill-of-materials explosion\": \"物料清单（BOM）展开\",\n \"Savings & feasibility scoring\": \"节省与可行性评分\",\n \"Self-service SQL over the data lake\": \"面向数据湖的自助 SQL\",\n \"Export to spreadsheet\": \"导出到表格\",\n \"AI-personalized 1-to-1 outreach at a scale of thousands — run by the commercial team itself.\": \"AI 一对一个性化触达，规模可达数千 —— 由商务团队自己操盘。\",\n \"CRM + outreach automation\": \"CRM + 触达自动化\",\n \"Omnichannel message waves\": \"全渠道消息波次\",\n \"AI-written copy in the lead's tone\": \"以客户口吻由 AI 撜写文案\",\n \"Offer & ROI modeling\": \"方案与 ROI 建模\",\n \"Corporate SSO\": \"企业单点登录（SSO）\",\n \"An entire contact center — from the on-site widget to queue automation — on a single platform.\": \"一个完整的呼叫中心 —— 从网站挂件到队列自动化 —— 全在一个平台上。\",\n \"Omnichannel webchat\": \"全渠道网页聊天\",\n \"AI triage bot\": \"AI 分流机器人\",\n \"Bot → human handoff\": \"机器人 → 人工转接\",\n \"Agent workspace + supervisor console\": \"坐席工作台 + 主管控制台\",\n \"Queue automation & CSAT\": \"队列自动化与满意度（CSAT）\",\n \"From storefront to ERP: tailor-made buying experiences, with your e-commerce's real data.\": \"从门店到 ERP：量身定制的购物体验，用你电商的真实数据驱动。\",\n \"Catalog & product experiences\": \"目录与商品体验\",\n \"VTEX / GraphQL integration\": \"VTEX / GraphQL 集成\",\n \"AI photo studio\": \"AI 影像工作室\",\n \"ERP & store operations\": \"ERP 与门店运营\",\n \"A sales copilot that tells each rep the next best action — in natural language.\": \"一个销售副驾，用自然语言告诉每位销售下一步的最佳行动。\",\n \"Sales copilot in natural language\": \"自然语言销售副驾\",\n \"Next-best-action recommendation\": \"下一最佳行动推荐\",\n \"AI search over customers & segments\": \"面向客户与细分的 AI 搜索\",\n \"Portfolio performance dashboards\": \"客户组合业绩仪表盘\",\n \"AI content & image generation\": \"AI 内容与图像生成\",\n \"From live data to an action plan — dashboards the team reads and acts on, no spreadsheet export.\": \"从实时数据到行动计划 —— 业务团队看得懂、能行动的仪表盘，无需导出表格。\",\n \"Executive dashboards on live data\": \"基于实时数据的高管仪表盘\",\n \"Automated daily ingestion\": \"每日自动数据接入\",\n \"Targets & action plan tracked\": \"目标与行动计划全程追踪\",\n \"Alerts & monitoring\": \"告警与监控\",\n \"Support that answers from the right source — a semantic knowledge base with AI triage.\": \"从正确来源作答的客服 —— 配备语义知识库与 AI 分流。\",\n \"Semantic-search knowledge base\": \"语义搜索知识库\",\n \"AI triage & support\": \"AI 分流与客服\",\n \"Answers grounded in the source\": \"答案有据可依，源自原文\",\n \"Support analytics\": \"客服分析\",\n \"Procurement excellence: financial modeling and supply planning, simulated in minutes.\": \"采购卓越：财务建模与供应规划，几分钟即可模拟完成。\",\n \"Supply planning\": \"供应规划\",\n \"Financial scenario modeling\": \"财务情景建模\",\n \"Decision simulators & builders\": \"决策模拟器与构建器\",\n \"Data-driven sourcing\": \"数据驱动的采购\",\n \"Across every industry\": \"贯穿每个行业\",\n \"The same engine, whatever the problem\": \"无论什么问题，都是同一套引擎\",\n \"AI built in\": \"内置 AI\",\n \"Detection, classification, generation and vision — in natural language.\": \"检测、分类、生成与视觉 —— 皆以自然语言驱动。\",\n \"Omnichannel\": \"全渠道\",\n \"WhatsApp, voice, webchat and email in one flow.\": \"WhatsApp、语音、网页聊天与邮件，统一于一条流程。\",\n \"Real data + integrations\": \"真实数据 + 集成\",\n \"Databricks, VTEX, CRMs, SSO — genuinely connected.\": \"Databricks、VTEX、各类 CRM、SSO —— 真正打通连接。\",\n \"Automation\": \"自动化\",\n \"Events, webhooks and schedulers reacting in real time.\": \"事件、Webhook 与定时任务，实时响应。\",\n \"Dashboards\": \"仪表盘\",\n \"Panels and analytics over the operation's live data.\": \"基于业务实时数据的面板与分析。\",\n \"No code\": \"无需代码\",\n \"All assembled in the visual builder — by the business team itself.\": \"全部在可视化构建器中组装 —— 由业务团队亲手完成。\",\n \"The Suite\": \"套件\",\n \"Eight products. One system.\": \"八款产品，同一个系统。\",\n \"8 products · 1 system\": \"8 款产品 · 1 个系统\",\n \"Interface\": \"界面\",\n \"Design the app, not a picture of it.\": \"设计真正的应用，而非它的一张图。\",\n \"Data\": \"数据\",\n \"Model, store and analyze at scale. Goodbye Lorem Ipsum.\": \"大规模建模、存储与分析。告别占位假数据。\",\n \"Media\": \"媒体\",\n \"Optimize and distribute files, in the cloud.\": \"在云端优化与分发文件。\",\n \"Identity\": \"身份\",\n \"Full lifecycles, from onboarding to password reset.\": \"完整的生命周期，从注册入门到密码重置。\",\n \"Integrations\": \"集成\",\n \"Connect to any external service.\": \"连接任何外部服务。\",\n \"Domain · AI\": \"领域 · AI\",\n \"Your model, never hidden in code. Multimodal AI.\": \"你的模型，绝不藏在代码里。多模态 AI。\",\n \"Automation\": \"自动化\",\n \"React to events in real time. Webhooks and schedulers.\": \"实时响应事件。Webhook 与定时任务。\",\n \"Payments\": \"支付\",\n \"Charge and get paid — any value transaction.\": \"收款与入账 —— 任何价值交易。\",\n \"Our stack. Our services.\": \"我们的技术栈。我们的服务。\",\n \"Our Forward Deployed Engineers embed with your area: they learn the pain, prototype and build with you — from first step to production.\": \"我们的前置部署工程师入驻你的部门：读懂痛点，与你一起做原型、共同构建 —— 从第一步到生产上线。\",\n \"Ideation\": \"创意构思\",\n \"Prototype\": \"原型\",\n \"Own your data.\": \"掌控你的数据。\",\n \"The Data Framework keeps your model and infrastructure under your control — never hidden in code, never hostage to a vendor.\": \"数据框架让你的模型与基础设施始终在你掌控之中 —— 绝不藏于代码，绝不受制于供应商。\",\n \"Domain-Driven\": \"领域驱动\",\n \"Single Data Language\": \"统一数据语言\",\n \"From problem
to production.\": \"从问题
到生产。\",\n \"Bring your area's challenge. We turn it into software — in production.\": \"带来你部门的挑战，我们把它变成软件 —— 直接上线生产。\",\n \"The Digital Expression Suite. From problem to production.\": \"数字表达套件。从问题到生产。\",\n \"Product\": \"产品\",\n \"Company\": \"公司\",\n \"About\": \"关于我们\",\n \"People\": \"团队\",\n \"Contact\": \"联系我们\",\n \"Made on Data². Without a single line of code.\": \"在 Data² 上打造。未写一行代码。\",\n \"Already in production with\": \"已上线客户\",\n \"we map where it hurts\": \"我们找出痛点所在\",\n \"2–4 weeks\": \"2–4 周\",\n \"sprint with an embedded engineer\": \"工程师入驻的冲刺\",\n \"In production\": \"上线生产\",\n \"your team owns it\": \"你的团队主导\"\n};\n function unesc(s){ return String(s).replace(/</g,\"<\").replace(/>/g,\">\").replace(/&/g,\"&\"); }\n var ZH2 = {}; for(var zk in ZH){ ZH2[unesc(zk)] = unesc(ZH[zk]); }\n var nodes = root.querySelectorAll(\"[data-pt],[data-en]\");\n function applyLang(l){\n lang = l;\n nodes.forEach(function(n){ var v; if(l===\"zh\"){ v=n.getAttribute(\"data-zh\")||ZH2[n.getAttribute(\"data-en\")]||n.getAttribute(\"data-en\"); } else { v=n.getAttribute(\"data-\"+l)||n.getAttribute(\"data-en\"); } if(v!=null) n.innerHTML=v; });\n root.querySelectorAll(\"#lang button\").forEach(function(b){ b.classList.toggle(\"on\", b.dataset.l===l); });\n }\n root.querySelectorAll(\"#lang button\").forEach(function(b){\n b.addEventListener(\"click\", function(){ applyLang(b.dataset.l); renderProduct(); if(window.__reRenderUni) window.__reRenderUni(); });\n });\n\n var nav = root.querySelector(\"#nav\");\n var burger = root.querySelector(\"#burger\");\n if(burger) burger.addEventListener(\"click\", function(){ nav.classList.toggle(\"open\"); });\n\n sc.addEventListener(\"click\", function(e){\n var a = e.target.closest ? 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Cada peça, um módulo Data².\",en:\"An HR that answers thousands of employees, in many languages — instantly. Each piece, a Data² module.\",zh:\"一个能即时回应数千名员工、支持多语言的人力资源 —— 每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m0\", label:{pt:\"Assistente de AI\",en:\"AI assistant\",zh:\"AI 助手\"}, title:{pt:\"Assistente de AI ao colaborador\",en:\"AI assistant for employees\",zh:\"面向员工的 AI 助手\"}, desc:{pt:\"Um assistente que responde dúvidas de RH — benefícios, férias, políticas — em linguagem natural e em vários idiomas, 24/7.\",en:\"An assistant that answers HR questions — benefits, vacation, policies — in natural language and many languages, 24/7.\",zh:\"一个用自然语言、多语言全天候回答人力资源问题（福利、休假、政策）的助手。\"}, points:[{pt:\"Chat com AI treinada nas políticas da empresa\",en:\"Chat with AI trained on company policy\",zh:\"基于公司政策训练的 AI 聊天\"},{pt:\"Respostas ancoradas em documentos internos\",en:\"Answers grounded in internal documents\",zh:\"答案有据可依，源自内部文档\"},{pt:\"Multi-idioma para operações globais\",en:\"Multi-language for global operations\",zh:\"面向全球运营的多语言支持\"},{pt:\"Disponível no portal, WhatsApp e Teams\",en:\"Available on portal, WhatsApp and Teams\",zh:\"支持门户、WhatsApp 与 Teams\"}], oldModel:{pt:\"Colaborador espera dias por uma resposta de RH; o time se afoga em perguntas repetidas.\",en:\"Employees wait days for an HR reply; the team drowns in repeated questions.\",zh:\"员工等待数日才得到人力资源回复；团队被重复问题淹没。\"}, withData2:{pt:\"Resposta na hora, a qualquer hora — e o time de RH foca no que é humano.\",en:\"Instant answers, any time — and the HR team focuses on what's human.\",zh:\"随时即时作答 —— 人力资源团队专注于真正需要人的事。\"}, kpis:[{num:\"24/7\",cap:{pt:\"disponibilidade\",en:\"availability\",zh:\"全天候可用\"}},{num:\"−70%\",cap:{pt:\"perguntas repetidas\",en:\"repeat questions\",zh:\"重复提问\"}}]},\n {motif:\"m2\", label:{pt:\"Transbordo\",en:\"Handoff\",zh:\"转接\"}, title:{pt:\"Transbordo para atendimento humano\",en:\"Handoff to a human agent\",zh:\"转接人工客服\"}, desc:{pt:\"Quando o caso é sensível, a conversa passa para o analista de RH certo — com todo o histórico.\",en:\"When a case is sensitive, the conversation moves to the right HR analyst — with the full history.\",zh:\"遇到敏感事项时，对话转交给合适的人力资源分析师 —— 携带完整历史。\"}, points:[{pt:\"Escalonamento por assunto e sensibilidade\",en:\"Escalation by topic and sensitivity\",zh:\"按主题与敏感度升级\"},{pt:\"Contexto completo entregue ao analista\",en:\"Full context handed to the analyst\",zh:\"向分析师交付完整上下文\"},{pt:\"Fila e status de atendimento\",en:\"Queue and handling status\",zh:\"队列与处理状态\"},{pt:\"Confidencialidade por perfil de acesso\",en:\"Confidentiality by access profile\",zh:\"按访问权限保密\"}], oldModel:{pt:\"Casos delicados se perdem em e-mails; ninguém sabe quem está tratando o quê.\",en:\"Delicate cases get lost in email; no one knows who is handling what.\",zh:\"敏感事项淹没在邮件里；无人知晓谁在处理什么。\"}, withData2:{pt:\"Cada caso vai para a pessoa certa, com contexto e rastreabilidade.\",en:\"Each case reaches the right person, with context and traceability.\",zh:\"每个事项都送达对的人，带上下文与可追溯。\"}, kpis:[{num:\"100%\",cap:{pt:\"contexto preservado\",en:\"context preserved\",zh:\"上下文保留\"}}]},\n {motif:\"m3\", label:{pt:\"Leitura de docs\",en:\"Doc reading\",zh:\"文档识别\"}, title:{pt:\"Leitura de documentos (OCR)\",en:\"Document reading (OCR)\",zh:\"文档识别（OCR）\"}, desc:{pt:\"Atestados, comprovantes e formulários lidos automaticamente pela AI — sem digitação manual.\",en:\"Certificates, receipts and forms read automatically by AI — no manual typing.\",zh:\"证明、凭证与表单由 AI 自动识别 —— 无需人工录入。\"}, points:[{pt:\"Extração de dados de imagens e PDFs\",en:\"Data extraction from images and PDFs\",zh:\"从图像与 PDF 中提取数据\"},{pt:\"Validação automática de campos\",en:\"Automatic field validation\",zh:\"字段自动校验\"},{pt:\"Classificação do tipo de documento\",en:\"Document-type classification\",zh:\"文档类型分类\"},{pt:\"Arquivo seguro no storage da empresa\",en:\"Secure filing in company storage\",zh:\"安全归档至公司存储\"}], oldModel:{pt:\"Alguém relê cada atestado e redigita à mão — lento e sujeito a erro.\",en:\"Someone rereads each certificate and retypes it by hand — slow and error-prone.\",zh:\"有人逐一重读证明并手动录入 —— 缓慢且易错。\"}, withData2:{pt:\"A AI lê, valida e arquiva em segundos.\",en:\"AI reads, validates and files in seconds.\",zh:\"AI 数秒内完成识别、校验与归档。\"}, kpis:[{num:\"−90%\",cap:{pt:\"tempo de digitação\",en:\"data-entry time\",zh:\"录入时间\"}}]},\n {motif:\"m1\", label:{pt:\"Regras\",en:\"Rules\",zh:\"规则\"}, title:{pt:\"Respostas e regras configuráveis pela área\",en:\"Answers & rules configured by the team\",zh:\"答案与规则由业务团队配置\"}, desc:{pt:\"O próprio RH ajusta respostas, fluxos e políticas — sem depender de TI ou de código.\",en:\"HR itself adjusts answers, flows and policies — with no dependency on IT or code.\",zh:\"人力资源团队自行调整答案、流程与政策 —— 无需依赖 IT 或代码。\"}, points:[{pt:\"Editor de respostas e fluxos sem código\",en:\"No-code answer and flow editor\",zh:\"无代码的答案与流程编辑器\"},{pt:\"Regras por país, área e cargo\",en:\"Rules by country, area and role\",zh:\"按国家、部门与岗位设置规则\"},{pt:\"Versões e publicação controladas\",en:\"Versioning and controlled publishing\",zh:\"版本管理与受控发布\"},{pt:\"Testes antes de ir ao ar\",en:\"Tested before going live\",zh:\"上线前测试\"}], oldModel:{pt:\"Cada mudança de política vira um chamado de TI que demora semanas.\",en:\"Every policy change becomes an IT ticket that takes weeks.\",zh:\"每次政策变更都变成耗时数周的 IT 工单。\"}, withData2:{pt:\"A área muda a regra e publica no mesmo dia.\",en:\"The team changes the rule and ships the same day.\",zh:\"业务团队当天即可修改规则并发布。\"}, kpis:[{num:\"0\",cap:{pt:\"dependência de código\",en:\"code dependency\",zh:\"代码依赖\"}}]},\n {motif:\"m4\", label:{pt:\"Analytics & CSAT\",en:\"Analytics & CSAT\",zh:\"分析与 CSAT\"}, title:{pt:\"Analytics e CSAT\",en:\"Analytics & CSAT\",zh:\"分析与满意度（CSAT）\"}, desc:{pt:\"Painéis mostram volume, temas, tempo de resposta e satisfação — para melhorar continuamente.\",en:\"Dashboards show volume, topics, response time and satisfaction — to improve continuously.\",zh:\"仪表盘呈现工单量、主题、响应时间与满意度 —— 持续改进。\"}, points:[{pt:\"Métricas de volume e tempo de resposta\",en:\"Volume and response-time metrics\",zh:\"工单量与响应时间指标\"},{pt:\"Temas mais perguntados\",en:\"Most-asked topics\",zh:\"最常被问的主题\"},{pt:\"Pesquisa de satisfação (CSAT)\",en:\"Satisfaction survey (CSAT)\",zh:\"满意度调查（CSAT）\"},{pt:\"Alertas de picos e gargalos\",en:\"Alerts for spikes and bottlenecks\",zh:\"峰值与瓶颈告警\"}], oldModel:{pt:\"Ninguém sabe o que mais consome o RH; decisão no achismo.\",en:\"No one knows what consumes HR most; decisions by guesswork.\",zh:\"无人知晓什么最耗费人力资源精力；决策靠猜。\"}, withData2:{pt:\"Dados mostram onde agir — e a experiência do colaborador melhora.\",en:\"Data shows where to act — and the employee experience improves.\",zh:\"数据指明行动方向 —— 员工体验随之提升。\"}, kpis:[{num:\"+CSAT\",cap:{pt:\"satisfação medida\",en:\"satisfaction measured\",zh:\"满意度可量\"}}]}\n ]},\n {hue:\"#4de0a1\", name:{pt:\"Supply & Operações\",en:\"Supply & Operations\",zh:\"供应链与运营\"}, tagline:{pt:\"Transformar sobra de estoque em plano de produção priorizado — em minutos, não semanas. Cada peça, um módulo Data².\",en:\"Turn leftover stock into a prioritized production plan — in minutes, not weeks. Each piece, a Data² module.\",zh:\"把过剩库存变成有优先级的生产计划 —— 只需几分钟，而非数周。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m6\", label:{pt:\"Cenários\",en:\"Scenarios\",zh:\"情景\"}, title:{pt:\"Simulação de cenários de produção\",en:\"Production scenario simulation\",zh:\"生产情景模拟\"}, desc:{pt:\"Rode dezenas de cenários 'e se' sobre o dado real de estoque e demanda — e compare resultados lado a lado.\",en:\"Run dozens of 'what-if' scenarios over real stock and demand data — and compare results side by side.\",zh:\"基于真实库存与需求数据运行数十种'假设'情景 —— 并逐一对比结果。\"}, points:[{pt:\"Parâmetros ajustáveis pela área\",en:\"Parameters adjustable by the team\",zh:\"参数由业务团队调整\"},{pt:\"Cálculo sobre dado vivo do data lake\",en:\"Computed over live data-lake data\",zh:\"基于数据湖实时数据计算\"},{pt:\"Comparação de cenários lado a lado\",en:\"Side-by-side scenario comparison\",zh:\"情景并排对比\"},{pt:\"Do cenário ao plano em um clique\",en:\"From scenario to plan in one click\",zh:\"一键从情景到计划\"}], oldModel:{pt:\"Cada simulação é uma planilha nova, feita à mão — e ninguém confia no número.\",en:\"Each simulation is a new hand-made spreadsheet — and no one trusts the number.\",zh:\"每次模拟都是一张新的手工表格 —— 没人信得过那个数字。\"}, withData2:{pt:\"Cenários em minutos sobre o dado real, comparáveis e auditáveis.\",en:\"Scenarios in minutes over real data, comparable and auditable.\",zh:\"几分钟内基于真实数据生成情景，可对比、可审计。\"}, kpis:[{num:\"5min\",cap:{pt:\"por cenário\",en:\"per scenario\",zh:\"每个情景\"}}]},\n {motif:\"m3\", label:{pt:\"Estrutura (BOM)\",en:\"BOM\",zh:\"物料清单\"}, title:{pt:\"Explosão de estrutura (BOM)\",en:\"Bill-of-materials explosion\",zh:\"物料清单（BOM）展开\"}, desc:{pt:\"A partir de um produto, o Rush explode toda a árvore de componentes — recursivamente, com quantidades.\",en:\"From a product, Rush explodes the whole component tree — recursively, with quantities.\",zh:\"从一个成品出发，Rush 递归展开整棵组件树 —— 带数量。\"}, points:[{pt:\"Explosão recursiva multi-nível\",en:\"Recursive multi-level explosion\",zh:\"多层级递归展开\"},{pt:\"Quantidades e perdas por etapa\",en:\"Quantities and losses per step\",zh:\"每步的用量与损耗\"},{pt:\"Disponibilidade cruzada com estoque\",en:\"Cross-checked with stock availability\",zh:\"与库存可用量交叉核对\"},{pt:\"Reprocessamento em tempo real\",en:\"Real-time recomputation\",zh:\"实时重算\"}], oldModel:{pt:\"Explodir uma BOM à mão leva dias e erra — e some quando o engenheiro sai.\",en:\"Exploding a BOM by hand takes days and errs — and vanishes when the engineer leaves.\",zh:\"手工展开 BOM 耗时数天且易错 —— 工程师一走就没了。\"}, withData2:{pt:\"A estrutura explode sozinha, com quantidades e disponibilidade, em segundos.\",en:\"The structure explodes itself, with quantities and availability, in seconds.\",zh:\"结构自动展开，带数量与可用量，只需数秒。\"}, kpis:[{num:\"−95%\",cap:{pt:\"tempo de cálculo\",en:\"calc time\",zh:\"计算时间\"}}]},\n {motif:\"m1\", label:{pt:\"Score\",en:\"Score\",zh:\"评分\"}, title:{pt:\"Score de economia e viabilidade\",en:\"Savings & feasibility scoring\",zh:\"节省与可行性评分\"}, desc:{pt:\"Cada plano recebe um score de economia potencial e de viabilidade — para priorizar o que vale a pena.\",en:\"Each plan gets a score for potential savings and feasibility — to prioritize what's worth it.\",zh:\"每个计划都获得潜在节省与可行性评分 —— 优先执行最值得的方案。\"}, points:[{pt:\"Score de economia por cenário\",en:\"Savings score per scenario\",zh:\"每情景节省评分\"},{pt:\"Viabilidade por restrição de capacidade\",en:\"Feasibility by capacity constraints\",zh:\"按产能约束评估可行性\"},{pt:\"Ranking automático de prioridade\",en:\"Automatic priority ranking\",zh:\"自动优先级排序\"},{pt:\"Regras de negócio configuráveis\",en:\"Configurable business rules\",zh:\"可配置业务规则\"}], oldModel:{pt:\"Prioridade definida por intuição; oportunidades de economia passam batido.\",en:\"Priority set by intuition; savings opportunities slip by.\",zh:\"优先级靠直觉；节省机会白白溜走。\"}, withData2:{pt:\"O sistema ranqueia por economia e viabilidade — a área age no que rende mais.\",en:\"The system ranks by savings and feasibility — the team acts on what pays most.\",zh:\"系统按节省与可行性排序 —— 团队优先处理最有回报的。\"}, kpis:[{num:\"×10\",cap:{pt:\"oportunidades vistas\",en:\"opportunities surfaced\",zh:\"发现的机会\"}}]},\n {motif:\"m2\", label:{pt:\"SQL self-service\",en:\"Self-service SQL\",zh:\"自助 SQL\"}, title:{pt:\"SQL self-service sobre o data lake\",en:\"Self-service SQL over the data lake\",zh:\"面向数据湖的自助 SQL\"}, desc:{pt:\"A área consulta o data lake direto — em SQL ou em linguagem natural — sem abrir chamado para o time de dados.\",en:\"The team queries the data lake directly — in SQL or natural language — with no ticket to the data team.\",zh:\"业务团队直接查询数据湖 —— 用 SQL 或自然语言 —— 无需向数据团队开工单。\"}, points:[{pt:\"Conexão governada ao data lake (Databricks)\",en:\"Governed connection to the data lake (Databricks)\",zh:\"受治理地连接数据湖（Databricks）\"},{pt:\"Consulta em SQL ou linguagem natural\",en:\"Query in SQL or natural language\",zh:\"用 SQL 或自然语言查询\"},{pt:\"Resultados em tabela e gráfico\",en:\"Results as table and chart\",zh:\"结果以表格与图表呈现\"},{pt:\"Permissões por perfil de acesso\",en:\"Permissions by access profile\",zh:\"按访问权限授权\"}], oldModel:{pt:\"Toda pergunta vira chamado para o time de dados; a resposta chega dias depois.\",en:\"Every question becomes a ticket to the data team; the answer arrives days later.\",zh:\"每个问题都变成给数据团队的工单；答案数天后才到。\"}, withData2:{pt:\"A própria área pergunta e recebe na hora — sem fila, com governança.\",en:\"The team asks and gets it instantly — no queue, with governance.\",zh:\"业务团队自行提问即时得到结果 —— 无排队、有治理。\"}, kpis:[{num:\"0\",cap:{pt:\"chamados ao time de dados\",en:\"tickets to the data team\",zh:\"给数据团队的工单\"}}]},\n {motif:\"m7\", label:{pt:\"Exportação\",en:\"Export\",zh:\"导出\"}, title:{pt:\"Exportação para planilha\",en:\"Export to spreadsheet\",zh:\"导出到表格\"}, desc:{pt:\"Qualquer plano ou consulta vira planilha ou relatório com um clique — para compartilhar com quem ainda vive no Excel.\",en:\"Any plan or query becomes a spreadsheet or report in one click — to share with whoever still lives in Excel.\",zh:\"任何计划或查询一键变成表格或报表 —— 分享给仍离不开 Excel 的人。\"}, points:[{pt:\"Export em um clique (XLSX/CSV)\",en:\"One-click export (XLSX/CSV)\",zh:\"一键导出（XLSX/CSV）\"},{pt:\"Relatórios formatados prontos\",en:\"Ready formatted reports\",zh:\"格式化报表即取即用\"},{pt:\"Agendamento de envios recorrentes\",en:\"Scheduled recurring sends\",zh:\"定时循环发送\"},{pt:\"Histórico de versões exportadas\",en:\"Version history of exports\",zh:\"导出版本历史\"}], oldModel:{pt:\"Copiar e colar entre sistemas e planilhas — retrabalho e erro garantidos.\",en:\"Copy-paste between systems and spreadsheets — guaranteed rework and error.\",zh:\"在系统与表格间复制粘贴 —— 返工与错误在所难免。\"}, withData2:{pt:\"Um clique gera a planilha certa, sempre atualizada.\",en:\"One click generates the right spreadsheet, always up to date.\",zh:\"一键生成正确的表格，始终最新。\"}, kpis:[{num:\"1\",cap:{pt:\"clique para exportar\",en:\"click to export\",zh:\"点击即导出\"}}]}\n ]},\n {hue:\"#e8b84d\", name:{pt:\"Serviços Financeiros\",en:\"Financial Services\",zh:\"金融服务\"}, tagline:{pt:\"Prospecção 1-a-1 personalizada por AI, em escala de milhares — operada pelo próprio time comercial. Cada peça, um módulo Data².\",en:\"AI-personalized 1-to-1 outreach at a scale of thousands — run by the commercial team itself. Each piece, a Data² module.\",zh:\"AI 一对一个性化触达，规模可达数千 —— 由商务团队自己操盘。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m3\", label:{pt:\"CRM + outreach\",en:\"CRM + outreach\",zh:\"CRM + 触达\"}, title:{pt:\"CRM + automação de outreach\",en:\"CRM + outreach automation\",zh:\"CRM + 触达自动化\"}, desc:{pt:\"Um CRM próprio da área com automação de prospecção — leads, estágios e cadências, tudo num sistema só.\",en:\"The team's own CRM with outreach automation — leads, stages and cadences, all in one system.\",zh:\"业务团队自有的 CRM，内置触达自动化 —— 线索、阶段与节奏，尽在一个系统。\"}, points:[{pt:\"Base de leads com estágios e dono\",en:\"Lead base with stages and owner\",zh:\"含阶段与负责人的线索库\"},{pt:\"Cadências de contato automatizadas\",en:\"Automated contact cadences\",zh:\"自动化联系节奏\"},{pt:\"Regras de disparo por evento (Rush)\",en:\"Event-triggered sending (Rush)\",zh:\"按事件触发发送（Rush）\"},{pt:\"Histórico completo por lead\",en:\"Full history per lead\",zh:\"每条线索完整历史\"}], oldModel:{pt:\"Prospecção em planilha + envio manual — sem escala e sem rastreio.\",en:\"Outreach in a spreadsheet + manual sending — no scale, no tracking.\",zh:\"用表格做触达 + 手动发送 —— 无规模、无追踪。\"}, withData2:{pt:\"O CRM dispara a cadência certa sozinho e registra tudo.\",en:\"The CRM fires the right cadence on its own and logs everything.\",zh:\"CRM 自动触发正确节奏并记录一切。\"}, kpis:[{num:\"1000s\",cap:{pt:\"leads em cadência\",en:\"leads in cadence\",zh:\"进入节奏的线索\"}}]},\n {motif:\"m1\", label:{pt:\"Ondas omnichannel\",en:\"Omnichannel waves\",zh:\"全渠道波次\"}, title:{pt:\"Ondas de mensagens omnichannel\",en:\"Omnichannel message waves\",zh:\"全渠道消息波次\"}, desc:{pt:\"Campanhas em ondas por e-mail, WhatsApp e SMS — com controle de volume, horário e resposta.\",en:\"Wave campaigns over email, WhatsApp and SMS — with control of volume, timing and reply.\",zh:\"通过邮件、WhatsApp 与短信分波次投放 —— 掌控数量、时机与回复。\"}, points:[{pt:\"Disparo em ondas com controle de volume\",en:\"Wave sending with volume control\",zh:\"分波次发送并控制数量\"},{pt:\"E-mail, WhatsApp e SMS no mesmo fluxo\",en:\"Email, WhatsApp and SMS in one flow\",zh:\"邮件、WhatsApp 与短信统一流程\"},{pt:\"Janela de horário e frequência\",en:\"Time window and frequency\",zh:\"时间窗口与频次\"},{pt:\"Captura de respostas de volta ao CRM\",en:\"Replies captured back into the CRM\",zh:\"回复自动回流至 CRM\"}], oldModel:{pt:\"Disparo em massa único, sem ritmo — vira spam e queima a base.\",en:\"A single mass blast, no rhythm — becomes spam and burns the base.\",zh:\"一次性群发、毫无节奏 —— 沦为垃圾信息并烧毁客户池。\"}, withData2:{pt:\"Ondas ritmadas e multicanal — mais entrega, menos queima.\",en:\"Paced, multichannel waves — more delivery, less burn.\",zh:\"有节奏的多渠道波次 —— 送达更高、损耗更低。\"}, kpis:[{num:\"3\",cap:{pt:\"canais num fluxo\",en:\"channels in one flow\",zh:\"渠道合一\"}}]},\n {motif:\"m5\", label:{pt:\"Copy por AI\",en:\"AI copy\",zh:\"AI 文案\"}, title:{pt:\"Copy gerada por AI no tom do lead\",en:\"AI-written copy in the lead's tone\",zh:\"以客户口吻由 AI 撰写文案\"}, desc:{pt:\"A AI escreve cada mensagem no tom e no contexto de cada lead — personalização real, não 'Olá [NOME]'.\",en:\"AI writes each message in each lead's tone and context — real personalization, not 'Hi [NAME]'.\",zh:\"AI 依据每位客户的语气与情境撰写每条消息 —— 真正的个性化，而非'你好 [姓名]'。\"}, points:[{pt:\"Geração de copy por AI multimodal\",en:\"Copy generation via multimodal AI\",zh:\"多模态 AI 生成文案\"},{pt:\"Personalização por perfil e histórico\",en:\"Personalization by profile and history\",zh:\"按画像与历史个性化\"},{pt:\"Tom e idioma ajustáveis\",en:\"Adjustable tone and language\",zh:\"可调语气与语言\"},{pt:\"Aprovação humana antes do envio\",en:\"Human approval before sending\",zh:\"发送前人工审批\"}], oldModel:{pt:\"Template único para todos — genérico, ignorado, baixa resposta.\",en:\"One template for everyone — generic, ignored, low reply.\",zh:\"所有人一个模板 —— 千篇一律、被无视、回复率低。\"}, withData2:{pt:\"Cada lead recebe uma mensagem que parece escrita só para ele.\",en:\"Each lead gets a message that feels written just for them.\",zh:\"每位客户收到的消息，仿佛专为他而写。\"}, kpis:[{num:\"+2×\",cap:{pt:\"taxa de resposta\",en:\"reply rate\",zh:\"回复率\"}}]},\n {motif:\"m6\", label:{pt:\"Proposta & ROI\",en:\"Offer & ROI\",zh:\"方案与 ROI\"}, title:{pt:\"Modelagem de proposta e ROI\",en:\"Offer & ROI modeling\",zh:\"方案与 ROI 建模\"}, desc:{pt:\"Simule propostas e mostre o ROI para o cliente na hora — números que fecham negócio.\",en:\"Simulate offers and show the client the ROI on the spot — numbers that close deals.\",zh:\"即时模拟方案并向客户展示 ROI —— 用数字促成交易。\"}, points:[{pt:\"Simulador de proposta com parâmetros\",en:\"Offer simulator with parameters\",zh:\"带参数的方案模拟器\"},{pt:\"Cálculo de ROI e payback\",en:\"ROI and payback calculation\",zh:\"ROI 与回收期计算\"},{pt:\"Comparação de opções para o cliente\",en:\"Option comparison for the client\",zh:\"为客户对比多种选项\"},{pt:\"Proposta exportável em PDF\",en:\"Offer exportable to PDF\",zh:\"方案可导出 PDF\"}], oldModel:{pt:\"Proposta feita à mão depois da reunião — o timing passa e o lead esfria.\",en:\"Offer built by hand after the meeting — the timing passes and the lead cools.\",zh:\"会后手工制作方案 —— 时机已过，客户变冷。\"}, withData2:{pt:\"Proposta e ROI na hora, dentro da conversa — o lead decide quente.\",en:\"Offer and ROI on the spot, inside the conversation — the lead decides while hot.\",zh:\"对话中即时给出方案与 ROI —— 趁热促成决策。\"}, kpis:[{num:\"1\",cap:{pt:\"reunião para fechar\",en:\"meeting to close\",zh:\"一次会议成交\"}}]},\n {motif:\"m2\", label:{pt:\"SSO\",en:\"SSO\",zh:\"单点登录\"}, title:{pt:\"SSO corporativo\",en:\"Corporate SSO\",zh:\"企业单点登录（SSO）\"}, desc:{pt:\"Login integrado ao provedor de identidade da empresa — seguro, auditável e sem senha nova.\",en:\"Login integrated with the company's identity provider — secure, auditable, no new password.\",zh:\"与企业身份提供商集成的登录 —— 安全、可审计、无需新密码。\"}, points:[{pt:\"Integração com IdP corporativo (SSO/SAML/OAuth)\",en:\"Corporate IdP integration (SSO/SAML/OAuth)\",zh:\"对接企业 IdP（SSO/SAML/OAuth）\"},{pt:\"Perfis e permissões por papel\",en:\"Roles and permissions by profile\",zh:\"按角色的权限配置\"},{pt:\"Trilhas de auditoria de acesso\",en:\"Access audit trails\",zh:\"访问审计日志\"},{pt:\"Provisionamento e revogação central\",en:\"Central provisioning and revocation\",zh:\"集中开通与撤销\"}], oldModel:{pt:\"Mais um sistema, mais uma senha — e um buraco de segurança e compliance.\",en:\"One more system, one more password — and a security and compliance hole.\",zh:\"又一个系统、又一个密码 —— 还多一个安全与合规漏洞。\"}, withData2:{pt:\"Entra com a identidade da empresa — seguro e auditável desde o primeiro dia.\",en:\"Sign in with the company identity — secure and auditable from day one.\",zh:\"用企业身份登录 —— 从第一天起即安全可审计。\"}, kpis:[{num:\"SSO\",cap:{pt:\"sem senha nova\",en:\"no new password\",zh:\"无需新密码\"}}]}\n ]},\n {hue:\"#4ddfe6\", name:{pt:\"CX & Contact Center\",en:\"CX & Contact Center\",zh:\"客户体验与呼叫中心\"}, tagline:{pt:\"Um contact center inteiro, funcionando como um sistema vivo — cada componente é um módulo Data². Passe o mouse. Role para os detalhes.\",en:\"An entire contact center, running as a living system — each component is a Data² module. Hover. Scroll for the details.\",zh:\"一个完整的呼叫中心，如同一个活的系统在运行 —— 每个组件都是一个 Data² 模块。悬停查看，下滚了解详情。\"}, layout:[[108,86],[345,38],[355,236],[612,84],[556,246]], comps:[\n {motif:\"m0\", label:{pt:\"Webchat\",en:\"Webchat\",zh:\"网页聊天\"}, title:{pt:\"Webchat omnichannel\",en:\"Omnichannel webchat\",zh:\"全渠道网页聊天\"}, desc:{pt:\"Um widget no seu site conversa no mesmo fluxo que WhatsApp, voz e e-mail. O cliente começa onde quiser e a conversa nunca se perde.\",en:\"A widget on your site talks in the same flow as WhatsApp, voice and email. Customers start anywhere and the conversation is never lost.\",zh:\"网站挂件与 WhatsApp、语音和邮件处于同一流程。客户可从任何渠道开始，对话永不丢失。\"}, points:[{pt:\"Widget embutido via iframe + websockets\",en:\"Embedded widget via iframe + websockets\",zh:\"通过 iframe + websockets 嵌入挂件\"},{pt:\"Ponte com provedor de mensageria e voz (CPaaS)\",en:\"Bridge to a messaging/voice provider (CPaaS)\",zh:\"对接消息/语音服务商（CPaaS）\"},{pt:\"Sessões, mensagens e transferências unificadas por cliente\",en:\"Sessions, messages and transfers unified per customer\",zh:\"按客户统一会话、消息与转接\"},{pt:\"Continuidade de contexto ao trocar de canal\",en:\"Context continuity across channels\",zh:\"跨渠道保持上下文连续\"}], oldModel:{pt:\"Canais soltos, sem histórico compartilhado. O cliente repete tudo a cada troca; o atendente trabalha às cegas.\",en:\"Disconnected channels, no shared history. Customers repeat everything on each switch; agents work blind.\",zh:\"渠道割裂、无共享历史。客户每次切换都要重复，坐席只能盲目应对。\"}, withData2:{pt:\"Um só fluxo, um só histórico. Menos repetição, respostas mais rápidas, e o cliente começa onde for mais fácil.\",en:\"One flow, one history. Less repetition, faster answers, and customers start wherever is easiest.\",zh:\"统一流程、统一历史。更少重复、更快响应，客户从最方便的渠道开始。\"}, kpis:[{num:\"100k+\",cap:{pt:\"atendimentos/dia\",en:\"interactions/day\",zh:\"次服务/天\"}}]},\n {motif:\"m1\", label:{pt:\"Bot de triagem\",en:\"Triage bot\",zh:\"分流机器人\"}, title:{pt:\"Bot de triagem com AI\",en:\"AI triage bot\",zh:\"AI 分流机器人\"}, desc:{pt:\"A AI entende a intenção, resolve na hora o que é simples e classifica o resto para a fila certa — antes de qualquer humano tocar.\",en:\"AI reads intent, instantly resolves the simple, and routes the rest to the right queue — before any human touches it.\",zh:\"AI 理解意图，即时解决简单问题，并将其余分流到正确队列 —— 无需任何人工介入。\"}, points:[{pt:\"Detecção de caso de uso por AI\",en:\"AI use-case detection\",zh:\"AI 用例识别\"},{pt:\"Fluxos guiados: cancelamento, troca, reembolso, atraso\",en:\"Guided flows: cancel, exchange, refund, delay\",zh:\"引导式流程：取消、换货、退款、延迟\"},{pt:\"Leitura de imagem e classificação de texto livre\",en:\"Image reading and free-text classification\",zh:\"图像识别与自由文本分类\"},{pt:\"Abertura de ticket no CRM externo\",en:\"Ticket creation in the external CRM\",zh:\"在外部 CRM 中创建工单\"}], oldModel:{pt:\"Todo contato cai na fila humana, até os triviais. A fila cresce e o custo por contato dispara.\",en:\"Every contact hits the human queue, even trivial ones. The queue grows and cost-per-contact soars.\",zh:\"所有联系都进入人工队列，连琐事也是。队列膨胀，单次联系成本飙升。\"}, withData2:{pt:\"A AI resolve o repetitivo na hora e só encaminha o que precisa de gente — menos fila, menos custo, 24/7.\",en:\"AI resolves the repetitive instantly and only routes what needs a human — less queue, less cost, 24/7.\",zh:\"AI 即时解决重复问题，只转交需人工的部分 —— 更短队列、更低成本、7×24。\"}, kpis:[{num:\"−50%\",cap:{pt:\"tempo de resolução\",en:\"resolution time\",zh:\"解决时间\"}}]},\n {motif:\"m2\", label:{pt:\"Transbordo\",en:\"Handoff\",zh:\"转接\"}, title:{pt:\"Transbordo bot → humano\",en:\"Bot → human handoff\",zh:\"机器人 → 人工转接\"}, desc:{pt:\"Quando o humano precisa entrar, entra com todo o histórico e o contexto na mão. Zero 'reconte tudo de novo'.\",en:\"When a human is needed, they step in with the full history and context in hand. Zero 'tell me everything again'.\",zh:\"当需要人工时，坐席携带完整历史与上下文接手。无需'重新说一遍'。\"}, points:[{pt:\"Handoff com histórico e contexto completos\",en:\"Handoff with full history and context\",zh:\"携带完整历史与上下文的转接\"},{pt:\"Transferência entre filas e times\",en:\"Transfer across queues and teams\",zh:\"跨队列与团队转接\"},{pt:\"Detecção de inatividade e abandono\",en:\"Inactivity and abandonment detection\",zh:\"闲置与弃单检测\"},{pt:\"Respostas prontas + atalhos do atendente\",en:\"Canned replies + agent shortcuts\",zh:\"预设回复 + 坐席快捷方式\"}], oldModel:{pt:\"A passagem pro humano perde o contexto. 'Me conta tudo de novo' vira regra e a satisfação despenca.\",en:\"The handoff loses context. 'Tell me everything again' becomes the rule and satisfaction drops.\",zh:\"转人工时丢失上下文。'请再说一遍'成常态，满意度骤降。\"}, withData2:{pt:\"O atendente entra com histórico e contexto completos. Transição invisível pro cliente.\",en:\"The agent steps in with full history and context. An invisible transition for the customer.\",zh:\"坐席携带完整历史与上下文接手。对客户而言，转接无感。\"}, kpis:[{num:\"100%\",cap:{pt:\"do contexto preservado\",en:\"context preserved\",zh:\"上下文保留\"}}]},\n {motif:\"m3\", label:{pt:\"Console\",en:\"Console\",zh:\"控制台\"}, title:{pt:\"Console de agente + supervisor\",en:\"Agent workspace + supervisor console\",zh:\"坐席工作台 + 主管控制台\"}, desc:{pt:\"Fila, transferências, status dos agentes e supervisão ao vivo — tudo num painel só, sobre o dado real da operação.\",en:\"Queue, transfers, agent status and live supervision — all in one console, over the operation's real data.\",zh:\"队列、转接、坐席状态与实时督导 —— 全部集于一个控制台，基于运营真实数据。\"}, points:[{pt:\"Workspace do agente: status, presets, chatrooms\",en:\"Agent workspace: status, presets, chatrooms\",zh:\"坐席工作台：状态、预设、聊天室\"},{pt:\"Console do supervisor: fila e métricas ao vivo\",en:\"Supervisor console: live queue and metrics\",zh:\"主管控制台：实时队列与指标\"},{pt:\"Classificação de transferências\",en:\"Transfer classification\",zh:\"转接分类\"},{pt:\"Fechamentos mensais e sync de metadados\",en:\"Monthly closings and metadata sync\",zh:\"月度结算与元数据同步\"}], oldModel:{pt:\"Supervisão por planilha e telas espalhadas. Ninguém enxerga a operação ao vivo; decisão no achismo.\",en:\"Supervision by spreadsheet and scattered screens. No one sees the live operation; decisions by guesswork.\",zh:\"靠表格与零散界面督导。无人实时掌控，决策靠猜。\"}, withData2:{pt:\"Uma tela com fila, status, transferências e métricas ao vivo — decisão sobre o dado real.\",en:\"One screen with live queue, status, transfers and metrics — decisions on real data.\",zh:\"一屏掌握实时队列、状态、转接与指标 —— 基于真实数据决策。\"}, kpis:[{num:\"1\",cap:{pt:\"tela para toda a operação\",en:\"screen for the whole operation\",zh:\"一屏掌控全局\"}}]},\n {motif:\"m4\", label:{pt:\"Filas & CSAT\",en:\"Queues & CSAT\",zh:\"队列与 CSAT\"}, title:{pt:\"Automação de filas & CSAT\",en:\"Queue automation & CSAT\",zh:\"队列自动化与满意度（CSAT）\"}, desc:{pt:\"Filas que se auto-gerenciam: detecção de abandono, repriorização e pesquisa de satisfação disparada na hora certa.\",en:\"Self-managing queues: abandonment detection, re-prioritization and CSAT surveys fired at the right moment.\",zh:\"自我管理的队列：弃单检测、重新优先级排序，并在恰当时机发起满意度调查。\"}, points:[{pt:\"Agendadores (Rush) mantêm a fila saudável\",en:\"Schedulers (Rush) keep the queue healthy\",zh:\"调度器（Rush）维持队列健康\"},{pt:\"Detecção de abandono + auto-cura da fila\",en:\"Abandonment detection + queue self-healing\",zh:\"弃单检测 + 队列自愈\"},{pt:\"CSAT disparado no momento certo\",en:\"CSAT fired at the right moment\",zh:\"在恰当时机发起 CSAT\"},{pt:\"Analytics de custo por caso de uso + export\",en:\"Cost analytics by use-case + export\",zh:\"按用例的成本分析 + 导出\"}], oldModel:{pt:\"Filas travadas por transferências esquecidas e abandono não detectado. Satisfação medida tarde ou nunca.\",en:\"Queues stuck by forgotten transfers and undetected abandonment. Satisfaction measured late, or never.\",zh:\"队列被遗忘的转接与未检测的弃单拖垮。满意度测得太晚，甚至从不测。\"}, withData2:{pt:\"Rush mantém a fila saudável sozinho e dispara o CSAT na hora certa — melhoria contínua com dado.\",en:\"Rush keeps the queue healthy on its own and fires CSAT at the right time — continuous improvement, data-driven.\",zh:\"Rush 自动维持队列健康，并在恰当时机发起 CSAT —— 数据驱动的持续改进。\"}, kpis:[{num:\"85%\",cap:{pt:\"retenção\",en:\"retention\",zh:\"留存率\"}},{num:\"+26\",cap:{pt:\"NPS\",en:\"NPS\",zh:\"NPS\"}}]}\n ]},\n {hue:\"#ff4d9e\", name:{pt:\"Varejo & E-commerce\",en:\"Retail & E-commerce\",zh:\"零售与电商\"}, tagline:{pt:\"Da vitrine ao ERP: experiências de compra sob medida, com os dados reais do seu e-commerce. Cada peça, um módulo Data².\",en:\"From storefront to ERP: tailor-made buying experiences, with your e-commerce's real data. Each piece, a Data² module.\",zh:\"从门店到 ERP：量身定制的购物体验，用你电商的真实数据驱动。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m6\", label:{pt:\"Catálogo\",en:\"Catalog\",zh:\"目录\"}, title:{pt:\"Experiências de catálogo e produto\",en:\"Catalog & product experiences\",zh:\"目录与商品体验\"}, desc:{pt:\"Vitrines, páginas de produto e coleções montadas pela área — com o catálogo real, sempre sincronizado.\",en:\"Storefronts, product pages and collections built by the team — with the real catalog, always in sync.\",zh:\"由业务团队搭建的门店、商品页与专题 —— 使用真实目录，始终同步。\"}, points:[{pt:\"Páginas de produto sobre catálogo real\",en:\"Product pages over the real catalog\",zh:\"基于真实目录的商品页\"},{pt:\"Coleções e curadoria pela área\",en:\"Collections and curation by the team\",zh:\"由团队策划专题与选品\"},{pt:\"Busca e filtros configuráveis\",en:\"Configurable search and filters\",zh:\"可配置搜索与筛选\"},{pt:\"Publicação sem depender de TI\",en:\"Publish without depending on IT\",zh:\"发布无需依赖 IT\"}], oldModel:{pt:\"Cada campanha depende da fila de TI; a vitrine nunca acompanha o momento.\",en:\"Every campaign waits in the IT queue; the storefront never keeps up with the moment.\",zh:\"每次活动都要排 IT 队列；门店永远跟不上节奏。\"}, withData2:{pt:\"A área publica a vitrine que quiser, na hora, com o dado real.\",en:\"The team publishes any storefront it wants, instantly, with real data.\",zh:\"团队即时发布想要的门店，用真实数据。\"}, kpis:[{num:\"live\",cap:{pt:\"catálogo sincronizado\",en:\"catalog in sync\",zh:\"目录实时同步\"}}]},\n {motif:\"m1\", label:{pt:\"VTEX / GraphQL\",en:\"VTEX / GraphQL\",zh:\"VTEX / GraphQL\"}, title:{pt:\"Integração VTEX / GraphQL\",en:\"VTEX / GraphQL integration\",zh:\"VTEX / GraphQL 集成\"}, desc:{pt:\"Conexão direta com a plataforma de e-commerce — produtos, preços e estoque ao vivo via GraphQL.\",en:\"Direct connection to the e-commerce platform — live products, prices and stock via GraphQL.\",zh:\"与电商平台直连 —— 通过 GraphQL 获取实时商品、价格与库存。\"}, points:[{pt:\"Cliente HTTP para VTEX / GraphQL\",en:\"HTTP client for VTEX / GraphQL\",zh:\"面向 VTEX / GraphQL 的 HTTP 客户端\"},{pt:\"Produtos, preços e estoque ao vivo\",en:\"Live products, prices and stock\",zh:\"实时商品、价格与库存\"},{pt:\"Parametrização de queries por variável\",en:\"Query parametrization by variable\",zh:\"按变量参数化查询\"},{pt:\"Cache e resiliência a falhas\",en:\"Caching and failure resilience\",zh:\"缓存与容错\"}], oldModel:{pt:\"Dados de produto colados à mão ou defasados — preço errado, venda perdida.\",en:\"Product data pasted by hand or stale — wrong price, lost sale.\",zh:\"商品数据靠手工粘贴或已过期 —— 价格出错、错失销售。\"}, withData2:{pt:\"Tudo ao vivo, direto da fonte — preço e estoque sempre certos.\",en:\"Everything live, straight from the source — price and stock always right.\",zh:\"一切实时、直取源头 —— 价格与库存始终准确。\"}, kpis:[{num:\"real-time\",cap:{pt:\"preço & estoque\",en:\"price & stock\",zh:\"价格与库存\"}}]},\n {motif:\"m5\", label:{pt:\"Estúdio de foto\",en:\"Photo studio\",zh:\"影像工作室\"}, title:{pt:\"Estúdio de foto com AI\",en:\"AI photo studio\",zh:\"AI 影像工作室\"}, desc:{pt:\"Gere fotos de produto e cenas com AI — try-on, ângulos e catálogo, sem estúdio físico.\",en:\"Generate product photos and scenes with AI — try-on, angles and catalog, no physical studio.\",zh:\"用 AI 生成商品照片与场景 —— 试穿、角度与目录，无需实体影棚。\"}, points:[{pt:\"Geração de imagem por AI (multimodal)\",en:\"Image generation via AI (multimodal)\",zh:\"多模态 AI 图像生成\"},{pt:\"Try-on e cenas configuráveis\",en:\"Try-on and configurable scenes\",zh:\"试穿与可配置场景\"},{pt:\"Múltiplos ângulos a partir de uma foto\",en:\"Multiple angles from one photo\",zh:\"由一张照片生成多角度\"},{pt:\"Storage e distribuição de mídia (MEDIA)\",en:\"Media storage and distribution (MEDIA)\",zh:\"媒体存储与分发（MEDIA）\"}], oldModel:{pt:\"Cada foto exige estúdio, modelo e dias de produção — caro e lento.\",en:\"Every photo needs a studio, a model and days of production — costly and slow.\",zh:\"每张照片都需影棚、模特与数天制作 —— 昂贵又缓慢。\"}, withData2:{pt:\"Fotos de qualidade em minutos, a um custo marginal.\",en:\"Quality photos in minutes, at a marginal cost.\",zh:\"几分钟出高质量照片，成本极低。\"}, kpis:[{num:\"−90%\",cap:{pt:\"custo de produção\",en:\"production cost\",zh:\"制作成本\"}}]},\n {motif:\"m3\", label:{pt:\"ERP & loja\",en:\"ERP & store\",zh:\"ERP 与门店\"}, title:{pt:\"ERP e operações de loja\",en:\"ERP & store operations\",zh:\"ERP 与门店运营\"}, desc:{pt:\"Estoque, pedidos, recebimento e produção — o ERP da operação de loja, feito sob medida.\",en:\"Stock, orders, receiving and production — the store operation's ERP, tailor-made.\",zh:\"库存、订单、收货与生产 —— 量身定制的门店运营 ERP。\"}, points:[{pt:\"Estoque e movimentações por local\",en:\"Stock and movements per location\",zh:\"按地点的库存与出入库\"},{pt:\"Pedidos de compra e recebimento\",en:\"Purchase orders and receiving\",zh:\"采购订单与收货\"},{pt:\"Ordens de produção e BOM\",en:\"Production orders and BOM\",zh:\"生产订单与 BOM\"},{pt:\"Fluxos e status configuráveis\",en:\"Configurable flows and statuses\",zh:\"可配置流程与状态\"}], oldModel:{pt:\"ERP genérico que não encaixa na operação — gambiarra em planilha por fora.\",en:\"A generic ERP that doesn't fit the operation — spreadsheet workarounds on the side.\",zh:\"通用 ERP 无法贴合运营 —— 只能在表格里打补丁。\"}, withData2:{pt:\"Um ERP que encaixa exatamente na sua operação — e evolui com ela.\",en:\"An ERP that fits your operation exactly — and evolves with it.\",zh:\"完全贴合你运营的 ERP —— 并随之进化。\"}, kpis:[{num:\"1\",cap:{pt:\"sistema da vitrine ao estoque\",en:\"system from storefront to stock\",zh:\"从门店到库存一体\"}}]}\n ]},\n {hue:\"#9b5cff\", name:{pt:\"Força de Vendas\",en:\"Sales Enablement\",zh:\"销售赋能\"}, tagline:{pt:\"Um copiloto de vendas que diz a cada vendedor a próxima melhor ação — em linguagem natural. Cada peça, um módulo Data².\",en:\"A sales copilot that tells each rep the next best action — in natural language. Each piece, a Data² module.\",zh:\"一个销售副驾，用自然语言告诉每位销售下一步的最佳行动。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m1\", label:{pt:\"Copiloto\",en:\"Copilot\",zh:\"副驾\"}, title:{pt:\"Copiloto de vendas em linguagem natural\",en:\"Sales copilot in natural language\",zh:\"自然语言销售副驾\"}, desc:{pt:\"O vendedor pergunta em português e o copiloto responde sobre carteira, clientes e metas — sobre o dado real.\",en:\"The rep asks in plain language and the copilot answers about portfolio, customers and targets — over real data.\",zh:\"销售用自然语言提问，副驾基于真实数据回答客户组合、客户与目标相关问题。\"}, points:[{pt:\"Chat sobre dado vivo da carteira\",en:\"Chat over the portfolio's live data\",zh:\"基于客户组合实时数据的聊天\"},{pt:\"Respostas com números e fontes\",en:\"Answers with numbers and sources\",zh:\"答案带数字与来源\"},{pt:\"Entende perguntas de negócio\",en:\"Understands business questions\",zh:\"理解业务问题\"},{pt:\"No celular, em campo\",en:\"On mobile, in the field\",zh:\"手机端、可在一线使用\"}], oldModel:{pt:\"O vendedor não acha o dado; ou espera BI, ou decide no escuro.\",en:\"The rep can't find the data; either waits for BI, or decides in the dark.\",zh:\"销售找不到数据；要么等 BI，要么摸黑决策。\"}, withData2:{pt:\"Pergunta e recebe na hora, em campo — decisão com base em dado.\",en:\"Ask and get it instantly, in the field — decisions based on data.\",zh:\"在一线即时提问即时得到答案 —— 基于数据决策。\"}, kpis:[{num:\"NL\",cap:{pt:\"pergunta em linguagem natural\",en:\"ask in natural language\",zh:\"自然语言提问\"}}]},\n {motif:\"m6\", label:{pt:\"Próxima ação\",en:\"Next action\",zh:\"下一步\"}, title:{pt:\"Recomendação de próxima melhor ação\",en:\"Next-best-action recommendation\",zh:\"下一最佳行动推荐\"}, desc:{pt:\"O sistema aponta, por cliente, a próxima ação de maior retorno — quem visitar, o que oferecer, quando.\",en:\"The system points out, per customer, the next highest-return action — who to visit, what to offer, when.\",zh:\"系统针对每位客户指出回报最高的下一步行动 —— 拜访谁、推什么、何时。\"}, points:[{pt:\"Recomendação por cliente e momento\",en:\"Recommendation by customer and timing\",zh:\"按客户与时机推荐\"},{pt:\"Priorização por retorno esperado\",en:\"Prioritization by expected return\",zh:\"按预期回报排序\"},{pt:\"Regras e modelos configuráveis\",en:\"Configurable rules and models\",zh:\"可配置规则与模型\"},{pt:\"Ação a um clique do copiloto\",en:\"Action one click from the copilot\",zh:\"从副驾一键行动\"}], oldModel:{pt:\"Todo cliente tratado igual; o vendedor gasta tempo onde não rende.\",en:\"Every customer treated the same; the rep spends time where it doesn't pay.\",zh:\"所有客户一视同仁；销售把时间花在不出成果的地方。\"}, withData2:{pt:\"Cada visita mira o cliente e a oferta de maior retorno.\",en:\"Every visit targets the customer and offer with the highest return.\",zh:\"每次拜访都瞄准回报最高的客户与方案。\"}, kpis:[{num:\"+20%\",cap:{pt:\"conversão\",en:\"conversion\",zh:\"转化率\"}}]},\n {motif:\"m2\", label:{pt:\"Busca com AI\",en:\"AI search\",zh:\"AI 搜索\"}, title:{pt:\"Busca de clientes e segmentos com AI\",en:\"AI search over customers & segments\",zh:\"面向客户与细分的 AI 搜索\"}, desc:{pt:\"'Me mostre clientes que compraram X e sumiram' — a AI monta o segmento na hora, sem SQL.\",en:\"'Show me customers who bought X and vanished' — AI builds the segment instantly, no SQL.\",zh:\"'找出买过 X 后消失的客户' —— AI 即时生成细分，无需 SQL。\"}, points:[{pt:\"Segmentação por linguagem natural\",en:\"Segmentation by natural language\",zh:\"自然语言细分\"},{pt:\"Busca semântica sobre a base\",en:\"Semantic search over the base\",zh:\"对客户库的语义搜索\"},{pt:\"Salva e reusa segmentos\",en:\"Save and reuse segments\",zh:\"保存并复用细分\"},{pt:\"Aciona ondas de contato a partir do segmento\",en:\"Trigger contact waves from a segment\",zh:\"从细分触发联系波次\"}], oldModel:{pt:\"Segmentar exige o time de dados e um SQL — dias para uma lista.\",en:\"Segmenting needs the data team and SQL — days for a list.\",zh:\"细分需要数据团队与 SQL —— 一张名单要等数天。\"}, withData2:{pt:\"A força monta o segmento em segundos, com uma frase.\",en:\"The field builds the segment in seconds, with one sentence.\",zh:\"一线用一句话数秒生成细分。\"}, kpis:[{num:\"0\",cap:{pt:\"SQL necessário\",en:\"SQL required\",zh:\"无需 SQL\"}}]},\n {motif:\"m4\", label:{pt:\"Performance\",en:\"Performance\",zh:\"业绩\"}, title:{pt:\"Painéis de performance da carteira\",en:\"Portfolio performance dashboards\",zh:\"客户组合业绩仪表盘\"}, desc:{pt:\"Metas, ranking e evolução da carteira ao vivo — para o vendedor e para o gestor, na mesma fonte.\",en:\"Targets, ranking and portfolio evolution live — for the rep and the manager, from the same source.\",zh:\"目标、排名与客户组合演变实时呈现 —— 销售与管理者共用同一数据源。\"}, points:[{pt:\"Metas e realizado por vendedor\",en:\"Target vs actual per rep\",zh:\"每位销售目标 vs 实际\"},{pt:\"Ranking e evolução no tempo\",en:\"Ranking and evolution over time\",zh:\"排名与时间演变\"},{pt:\"Drill-down por cliente e produto\",en:\"Drill-down by customer and product\",zh:\"按客户与商品下钻\"},{pt:\"Mesmo dado para campo e gestão\",en:\"Same data for field and management\",zh:\"一线与管理同源数据\"}], oldModel:{pt:\"Cada um com sua planilha; gestor e vendedor discutem número, não cliente.\",en:\"Everyone with their own spreadsheet; manager and rep argue over numbers, not customers.\",zh:\"各持一张表格；管理者与销售争论数字，而非客户。\"}, withData2:{pt:\"Uma fonte só, ao vivo — a conversa vira sobre o cliente.\",en:\"One live source — the conversation shifts to the customer.\",zh:\"唯一实时数据源 —— 对话回归客户本身。\"}, kpis:[{num:\"1\",cap:{pt:\"fonte de verdade\",en:\"source of truth\",zh:\"唯一真相源\"}}]},\n {motif:\"m5\", label:{pt:\"Conteúdo com AI\",en:\"AI content\",zh:\"AI 内容\"}, title:{pt:\"Geração de conteúdo e imagem com AI\",en:\"AI content & image generation\",zh:\"AI 内容与图像生成\"}, desc:{pt:\"O vendedor gera o material de vendas — texto e imagem — no tom da marca, na hora do contato.\",en:\"The rep generates sales material — text and image — in the brand's tone, at the moment of contact.\",zh:\"销售即时生成销售素材 —— 文本与图像 —— 契合品牌语气。\"}, points:[{pt:\"Geração de texto e imagem por AI\",en:\"AI text and image generation\",zh:\"AI 文本与图像生成\"},{pt:\"No tom e na identidade da marca\",en:\"In the brand's tone and identity\",zh:\"契合品牌语气与识别\"},{pt:\"Personalizado por cliente\",en:\"Personalized per customer\",zh:\"按客户个性化\"},{pt:\"Pronto para enviar em qualquer canal\",en:\"Ready to send on any channel\",zh:\"随时可在任一渠道发送\"}], oldModel:{pt:\"Material genérico do marketing, desatualizado — o vendedor improvisa.\",en:\"Generic, outdated marketing material — the rep improvises.\",zh:\"市场部的通用素材已过时 —— 销售只能临场发挥。\"}, withData2:{pt:\"Conteúdo sob medida na hora, sempre na marca.\",en:\"Tailored content on the spot, always on brand.\",zh:\"即时定制内容，始终契合品牌。\"}, kpis:[{num:\"1\",cap:{pt:\"clique para o material\",en:\"click to material\",zh:\"一键出素材\"}}]}\n ]},\n {hue:\"#84e05a\", name:{pt:\"BI & Analytics\",en:\"BI & Analytics\",zh:\"商业智能与分析\"}, tagline:{pt:\"Do dado vivo ao plano de ação — painéis que a área lê e age, sem exportar pra planilha. Cada peça, um módulo Data².\",en:\"From live data to an action plan — dashboards the team reads and acts on, no spreadsheet export. Each piece, a Data² module.\",zh:\"从实时数据到行动计划 —— 业务团队看得懂、能行动的仪表盘，无需导出表格。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m4\", label:{pt:\"Painéis\",en:\"Dashboards\",zh:\"仪表盘\"}, title:{pt:\"Painéis executivos sobre dado vivo\",en:\"Executive dashboards on live data\",zh:\"基于实时数据的高管仪表盘\"}, desc:{pt:\"KPIs, tendências e drill-down sobre o dado vivo da operação — não um print de ontem.\",en:\"KPIs, trends and drill-down over the operation's live data — not a screenshot from yesterday.\",zh:\"基于运营实时数据的 KPI、趋势与下钻 —— 而非昨天的截图。\"}, points:[{pt:\"KPIs e tendências ao vivo\",en:\"Live KPIs and trends\",zh:\"实时 KPI 与趋势\"},{pt:\"Drill-down por dimensão\",en:\"Drill-down by dimension\",zh:\"按维度下钻\"},{pt:\"Painéis por perfil de usuário\",en:\"Dashboards by user profile\",zh:\"按用户画像定制仪表盘\"},{pt:\"Renderização no servidor (SSR), rápida\",en:\"Server-side rendering (SSR), fast\",zh:\"服务端渲染（SSR），快速\"}], oldModel:{pt:\"Relatório em PDF que nasce velho; decisão sobre foto do passado.\",en:\"A PDF report born stale; decisions on a photo of the past.\",zh:\"生来就过时的 PDF 报表；对着过去的快照做决策。\"}, withData2:{pt:\"Painel vivo, sempre atual — decisão sobre o agora.\",en:\"A live panel, always current — decisions on the now.\",zh:\"实时面板、始终最新 —— 对着当下做决策。\"}, kpis:[{num:\"live\",cap:{pt:\"dado sempre atual\",en:\"always-current data\",zh:\"数据始终最新\"}}]},\n {motif:\"m1\", label:{pt:\"Ingestão\",en:\"Ingestion\",zh:\"数据接入\"}, title:{pt:\"Ingestão diária automatizada\",en:\"Automated daily ingestion\",zh:\"每日自动数据接入\"}, desc:{pt:\"O Rush puxa e consolida os dados todo dia — de Databricks, APIs e planilhas — sem ninguém apertar botão.\",en:\"Rush pulls and consolidates the data every day — from Databricks, APIs and spreadsheets — with no one pressing a button.\",zh:\"Rush 每天自动拉取并整合数据 —— 来自 Databricks、API 与表格 —— 无需任何人点按钮。\"}, points:[{pt:\"Agendadores (Rush) diários\",en:\"Daily schedulers (Rush)\",zh:\"每日调度器（Rush）\"},{pt:\"Fontes: Databricks, APIs, planilhas\",en:\"Sources: Databricks, APIs, spreadsheets\",zh:\"数据源：Databricks、API、表格\"},{pt:\"Consolidação e limpeza automática\",en:\"Automatic consolidation and cleanup\",zh:\"自动整合与清洗\"},{pt:\"Logs e reprocessamento de falhas\",en:\"Logs and failure reprocessing\",zh:\"日志与失败重跑\"}], oldModel:{pt:\"Alguém baixa, junta e corrige planilhas toda manhã — e às vezes esquece.\",en:\"Someone downloads, merges and fixes spreadsheets every morning — and sometimes forgets.\",zh:\"每天早上有人下载、合并并修正表格 —— 有时还会忘。\"}, withData2:{pt:\"Os dados chegam prontos todo dia, sozinhos.\",en:\"The data arrives ready every day, on its own.\",zh:\"数据每天自动就绪。\"}, kpis:[{num:\"0\",cap:{pt:\"trabalho manual diário\",en:\"daily manual work\",zh:\"每日手工\"}}]},\n {motif:\"m3\", label:{pt:\"Metas & plano\",en:\"Targets & plan\",zh:\"目标与计划\"}, title:{pt:\"Metas e plano de ação acompanhados\",en:\"Targets & action plan tracked\",zh:\"目标与行动计划全程追踪\"}, desc:{pt:\"Metas por área e um plano de ação vivo — cada iniciativa com dono, prazo e status, sobre o mesmo dado.\",en:\"Targets per area and a live action plan — each initiative with owner, deadline and status, over the same data.\",zh:\"按部门设定目标 + 实时行动计划 —— 每项举措都有负责人、期限与状态，同源数据。\"}, points:[{pt:\"Metas por área e período\",en:\"Targets by area and period\",zh:\"按部门与周期设目标\"},{pt:\"Plano de ação com dono e prazo\",en:\"Action plan with owner and deadline\",zh:\"含负责人与期限的行动计划\"},{pt:\"Status e progresso ao vivo\",en:\"Live status and progress\",zh:\"实时状态与进度\"},{pt:\"Ligação direta metas ↔ dado\",en:\"Direct link targets ↔ data\",zh:\"目标与数据直接挂钩\"}], oldModel:{pt:\"Metas numa apresentação e plano num e-mail — ninguém acompanha até o fim do tri.\",en:\"Targets in a slide and plan in an email — no one tracks until quarter-end.\",zh:\"目标在幻灯片、计划在邮件 —— 无人跟进，直到季度末。\"}, withData2:{pt:\"Meta, plano e dado num lugar só — acompanhamento contínuo.\",en:\"Target, plan and data in one place — continuous tracking.\",zh:\"目标、计划与数据合一 —— 持续跟进。\"}, kpis:[{num:\"1\",cap:{pt:\"lugar para meta e ação\",en:\"place for target and action\",zh:\"目标与行动一处\"}}]},\n {motif:\"m8\", label:{pt:\"Alertas\",en:\"Alerts\",zh:\"告警\"}, title:{pt:\"Alertas e monitoramento\",en:\"Alerts & monitoring\",zh:\"告警与监控\"}, desc:{pt:\"Regras que vigiam o dado e avisam na hora — por WhatsApp, e-mail ou no painel — quando algo sai do trilho.\",en:\"Rules that watch the data and warn instantly — via WhatsApp, email or in the panel — when something goes off track.\",zh:\"规则守护数据并即时预警 —— 通过 WhatsApp、邮件或面板 —— 一旦偏离轨道即刻通知。\"}, points:[{pt:\"Regras de alerta por limite/variação\",en:\"Alert rules by threshold/variation\",zh:\"按阈值/波动的告警规则\"},{pt:\"Notificação em WhatsApp, e-mail, painel\",en:\"Notification via WhatsApp, email, panel\",zh:\"WhatsApp、邮件、面板通知\"},{pt:\"Detecção de anomalia\",en:\"Anomaly detection\",zh:\"异常检测\"},{pt:\"Histórico e reconhecimento de alertas\",en:\"Alert history and acknowledgment\",zh:\"告警历史与确认\"}], oldModel:{pt:\"O problema só aparece no relatório do mês seguinte — tarde demais.\",en:\"The problem only shows up in next month's report — too late.\",zh:\"问题直到下月报表才浮现 —— 为时已晚。\"}, withData2:{pt:\"O sistema avisa na hora — a área age antes de virar prejuízo.\",en:\"The system warns instantly — the team acts before it becomes a loss.\",zh:\"系统即时预警 —— 团队在其造成损失前行动。\"}, kpis:[{num:\"real-time\",cap:{pt:\"alerta na hora\",en:\"instant alert\",zh:\"即时告警\"}}]}\n ]},\n {hue:\"#ff6a4d\", name:{pt:\"Seguros & CX\",en:\"Insurance & CX\",zh:\"保险与客户体验\"}, tagline:{pt:\"Atendimento que responde na fonte certa — base de conhecimento com busca semântica e triagem por AI. Cada peça, um módulo Data².\",en:\"Support that answers from the right source — a semantic knowledge base with AI triage. Each piece, a Data² module.\",zh:\"从正确来源作答的客服 —— 配备语义知识库与 AI 分流。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m2\", label:{pt:\"Base semântica\",en:\"Semantic KB\",zh:\"语义知识库\"}, title:{pt:\"Base de conhecimento com busca semântica\",en:\"Semantic-search knowledge base\",zh:\"语义搜索知识库\"}, desc:{pt:\"Apólices, cláusulas e FAQs indexadas por significado — encontra a resposta certa mesmo sem a palavra exata.\",en:\"Policies, clauses and FAQs indexed by meaning — finds the right answer even without the exact word.\",zh:\"保单、条款与 FAQ 按语义索引 —— 即使措辞不同也能找到正确答案。\"}, points:[{pt:\"Indexação por embeddings (semantic search)\",en:\"Embedding indexing (semantic search)\",zh:\"向量索引（语义搜索）\"},{pt:\"Busca por significado, não palavra-chave\",en:\"Search by meaning, not keyword\",zh:\"按语义而非关键词搜索\"},{pt:\"Fontes versionadas e atualizáveis\",en:\"Versioned, updatable sources\",zh:\"可版本化、可更新的来源\"},{pt:\"Cobertura multilíngue\",en:\"Multilingual coverage\",zh:\"多语言覆盖\"}], oldModel:{pt:\"O atendente caça em PDFs e intranet — resposta lenta e às vezes errada.\",en:\"The agent hunts through PDFs and the intranet — slow answers, sometimes wrong.\",zh:\"坐席在 PDF 与内网里翻找 —— 回答缓慢，有时出错。\"}, withData2:{pt:\"A resposta certa aparece na hora, ancorada na fonte oficial.\",en:\"The right answer appears instantly, grounded in the official source.\",zh:\"正确答案即时呈现，源自官方来源。\"}, kpis:[{num:\"semantic\",cap:{pt:\"busca por significado\",en:\"search by meaning\",zh:\"按语义搜索\"}}]},\n {motif:\"m1\", label:{pt:\"Triagem\",en:\"Triage\",zh:\"分流\"}, title:{pt:\"Triagem e atendimento com AI\",en:\"AI triage & support\",zh:\"AI 分流与客服\"}, desc:{pt:\"A AI entende o pedido — sinistro, dúvida, 2ª via — resolve o simples e encaminha o resto com contexto.\",en:\"AI understands the request — claim, question, reissue — resolves the simple and routes the rest with context.\",zh:\"AI 理解诉求 —— 理赔、咨询、补发 —— 解决简单问题，其余带上下文分流。\"}, points:[{pt:\"Detecção de intenção e caso de uso\",en:\"Intent and use-case detection\",zh:\"意图与用例识别\"},{pt:\"Resolução automática do simples\",en:\"Automatic resolution of the simple\",zh:\"简单诉求自动解决\"},{pt:\"Roteamento com contexto para o humano\",en:\"Context-rich routing to a human\",zh:\"带上下文转人工\"},{pt:\"Leitura de documentos do segurado\",en:\"Reading the insured's documents\",zh:\"识别投保人文档\"}], oldModel:{pt:\"Todo pedido vira fila humana; o segurado espera por qualquer coisa.\",en:\"Every request becomes a human queue; the insured waits for anything.\",zh:\"所有诉求都进人工队列；投保人事事都要等。\"}, withData2:{pt:\"A AI resolve na hora o que dá e prioriza o que precisa de gente.\",en:\"AI instantly resolves what it can and prioritizes what needs a human.\",zh:\"AI 能解决的即时解决，需人工的优先处理。\"}, kpis:[{num:\"−50%\",cap:{pt:\"tempo de resposta\",en:\"response time\",zh:\"响应时间\"}}]},\n {motif:\"m3\", label:{pt:\"Ancorada na fonte\",en:\"Grounded\",zh:\"源自原文\"}, title:{pt:\"Respostas ancoradas na fonte\",en:\"Answers grounded in the source\",zh:\"答案有据可依，源自原文\"}, desc:{pt:\"Toda resposta cita a cláusula ou o documento de origem — nada de 'a AI inventou'.\",en:\"Every answer cites the source clause or document — no 'the AI made it up'.\",zh:\"每个答案都引用来源条款或文档 —— 杜绝'AI 编造'。\"}, points:[{pt:\"Citação da fonte em cada resposta\",en:\"Source citation in every answer\",zh:\"每个答案标注来源\"},{pt:\"Rastreabilidade cláusula → resposta\",en:\"Traceability clause → answer\",zh:\"条款→答案可追溯\"},{pt:\"Redução de alucinação (grounding)\",en:\"Hallucination reduction (grounding)\",zh:\"降低幻觉（grounding）\"},{pt:\"Conformidade e auditoria\",en:\"Compliance and audit\",zh:\"合规与审计\"}], oldModel:{pt:\"Resposta sem lastro vira risco jurídico e retrabalho.\",en:\"An unsupported answer becomes legal risk and rework.\",zh:\"无依据的回答带来法律风险与返工。\"}, withData2:{pt:\"Cada resposta é rastreável à fonte — confiável e auditável.\",en:\"Every answer is traceable to the source — trustworthy and auditable.\",zh:\"每个答案都可追溯到来源 —— 可信、可审计。\"}, kpis:[{num:\"100%\",cap:{pt:\"respostas com fonte\",en:\"answers with a source\",zh:\"答案均有来源\"}}]},\n {motif:\"m7\", label:{pt:\"Analytics\",en:\"Analytics\",zh:\"分析\"}, title:{pt:\"Analytics de atendimento\",en:\"Support analytics\",zh:\"客服分析\"}, desc:{pt:\"Volume, temas, resolução e satisfação — para melhorar a base e o atendimento continuamente.\",en:\"Volume, topics, resolution and satisfaction — to continuously improve the base and the service.\",zh:\"工单量、主题、解决率与满意度 —— 持续改进知识库与服务。\"}, points:[{pt:\"Métricas de volume e resolução\",en:\"Volume and resolution metrics\",zh:\"工单量与解决率指标\"},{pt:\"Lacunas na base de conhecimento\",en:\"Knowledge-base gaps\",zh:\"知识库缺口\"},{pt:\"Satisfação (CSAT) por tema\",en:\"Satisfaction (CSAT) by topic\",zh:\"按主题的满意度（CSAT）\"},{pt:\"Alertas de pico e degradação\",en:\"Spike and degradation alerts\",zh:\"峰值与劣化告警\"}], oldModel:{pt:\"Não se sabe o que a base não cobre; os mesmos erros se repetem.\",en:\"No one knows what the base doesn't cover; the same errors repeat.\",zh:\"无人知晓知识库遗漏了什么；同样的错误反复出现。\"}, withData2:{pt:\"Os dados mostram as lacunas — a base melhora sozinha, com curadoria.\",en:\"The data shows the gaps — the base improves with curation.\",zh:\"数据揭示缺口 —— 知识库在策展中持续改善。\"}, kpis:[{num:\"+CSAT\",cap:{pt:\"satisfação medida\",en:\"satisfaction measured\",zh:\"满意度可量\"}}]}\n ]},\n {hue:\"#e8e84d\", name:{pt:\"Compras & Procurement\",en:\"Procurement\",zh:\"采购\"}, tagline:{pt:\"Excelência em compras: modelagem financeira e planejamento de fornecimento, simulados em minutos. Cada peça, um módulo Data².\",en:\"Procurement excellence: financial modeling and supply planning, simulated in minutes. Each piece, a Data² module.\",zh:\"采购卓越：财务建模与供应规划，几分钟即可模拟完成。每个环节都是一个 Data² 模块。\"}, comps:[\n {motif:\"m3\", label:{pt:\"Planejamento\",en:\"Planning\",zh:\"规划\"}, title:{pt:\"Planejamento de fornecimento\",en:\"Supply planning\",zh:\"供应规划\"}, desc:{pt:\"Consolida demanda, contratos e capacidade de fornecedores num plano de fornecimento — sobre o dado real.\",en:\"Consolidates demand, contracts and supplier capacity into a supply plan — over real data.\",zh:\"将需求、合同与供应商产能整合成供应计划 —— 基于真实数据。\"}, points:[{pt:\"Demanda e contratos consolidados\",en:\"Consolidated demand and contracts\",zh:\"整合需求与合同\"},{pt:\"Capacidade e lead time por fornecedor\",en:\"Capacity and lead time per supplier\",zh:\"每供应商产能与交期\"},{pt:\"Plano de fornecimento priorizado\",en:\"Prioritized supply plan\",zh:\"有优先级的供应计划\"},{pt:\"Sobre o dado real (data lake)\",en:\"Over real data (data lake)\",zh:\"基于真实数据（数据湖）\"}], oldModel:{pt:\"Plano em planilha que não fala com contrato nem com estoque real.\",en:\"A spreadsheet plan that talks to neither the contract nor the real stock.\",zh:\"表格里的计划既不对接合同也不对接真实库存。\"}, withData2:{pt:\"Um plano vivo, ligado a contrato, demanda e capacidade.\",en:\"A live plan, linked to contract, demand and capacity.\",zh:\"一份实时计划，联通合同、需求与产能。\"}, kpis:[{num:\"1\",cap:{pt:\"plano sobre dado real\",en:\"plan on real data\",zh:\"基于真实数据的计划\"}}]},\n {motif:\"m8\", label:{pt:\"Modelagem\",en:\"Modeling\",zh:\"建模\"}, title:{pt:\"Modelagem financeira de cenários\",en:\"Financial scenario modeling\",zh:\"财务情景建模\"}, desc:{pt:\"Modele o impacto financeiro de cada decisão de compra — preço, câmbio, volume — antes de assinar.\",en:\"Model the financial impact of each purchasing decision — price, FX, volume — before signing.\",zh:\"在签约前对每项采购决策的财务影响建模 —— 价格、汇率、数量。\"}, points:[{pt:\"Modelo financeiro por cenário\",en:\"Financial model per scenario\",zh:\"按情景的财务模型\"},{pt:\"Sensibilidade a preço, câmbio e volume\",en:\"Sensitivity to price, FX and volume\",zh:\"对价格、汇率、数量的敏感性\"},{pt:\"Comparação de fornecedores e prazos\",en:\"Comparison of suppliers and terms\",zh:\"供应商与条款对比\"},{pt:\"Números auditáveis\",en:\"Auditable numbers\",zh:\"可审计的数字\"}], oldModel:{pt:\"Modelo financeiro numa planilha frágil que só uma pessoa entende.\",en:\"A financial model in a fragile spreadsheet only one person understands.\",zh:\"脆弱表格里的财务模型，只有一个人看得懂。\"}, withData2:{pt:\"Modelo robusto e auditável — qualquer cenário em minutos.\",en:\"A robust, auditable model — any scenario in minutes.\",zh:\"稳健可审计的模型 —— 任何情景几分钟出结果。\"}, kpis:[{num:\"MM\",cap:{pt:\"economizados por mês\",en:\"saved per month\",zh:\"每月节省\"}}]},\n {motif:\"m5\", label:{pt:\"Simuladores\",en:\"Simulators\",zh:\"模拟器\"}, title:{pt:\"Simuladores e croquis de decisão\",en:\"Decision simulators & builders\",zh:\"决策模拟器与构建器\"}, desc:{pt:\"A área monta seus próprios simuladores de decisão — sem código — e testa alternativas na hora.\",en:\"The team builds its own decision simulators — no code — and tests alternatives on the spot.\",zh:\"业务团队无代码搭建自己的决策模拟器 —— 即时测试各种方案。\"}, points:[{pt:\"Simuladores montados pela área (no-code)\",en:\"Simulators built by the team (no-code)\",zh:\"由团队搭建的模拟器（无代码）\"},{pt:\"Parâmetros e regras ajustáveis\",en:\"Adjustable parameters and rules\",zh:\"可调参数与规则\"},{pt:\"Resultado visual imediato\",en:\"Immediate visual result\",zh:\"即时可视化结果\"},{pt:\"Compartilháveis com stakeholders\",en:\"Shareable with stakeholders\",zh:\"可与相关方共享\"}], oldModel:{pt:\"Cada análise depende de um especialista e de uma planilha nova.\",en:\"Every analysis depends on a specialist and a new spreadsheet.\",zh:\"每次分析都依赖一位专家与一张新表格。\"}, withData2:{pt:\"A área simula sozinha e decide na hora, com confiança.\",en:\"The team simulates on its own and decides on the spot, with confidence.\",zh:\"团队自主模拟、即时决策，充满信心。\"}, kpis:[{num:\"0\",cap:{pt:\"código para simular\",en:\"code to simulate\",zh:\"模拟无需代码\"}}]},\n {motif:\"m1\", label:{pt:\"Orientado a dado\",en:\"Data-driven\",zh:\"数据驱动\"}, title:{pt:\"Compras orientadas a dado\",en:\"Data-driven sourcing\",zh:\"数据驱动的采购\"}, desc:{pt:\"Cada decisão de compra apoiada em dado — histórico, mercado e performance de fornecedor.\",en:\"Every purchasing decision backed by data — history, market and supplier performance.\",zh:\"每项采购决策都有数据支撑 —— 历史、市场与供应商表现。\"}, points:[{pt:\"Histórico de compras e preços\",en:\"Purchase and price history\",zh:\"采购与价格历史\"},{pt:\"Performance e risco de fornecedor\",en:\"Supplier performance and risk\",zh:\"供应商表现与风险\"},{pt:\"Recomendação de melhor opção\",en:\"Best-option recommendation\",zh:\"最优选项推荐\"},{pt:\"Trilha de decisão auditável\",en:\"Auditable decision trail\",zh:\"可审计的决策链路\"}], oldModel:{pt:\"Decisão de compra no relacionamento e no achismo — dinheiro na mesa.\",en:\"Purchasing by relationship and gut feel — money left on the table.\",zh:\"凭关系与直觉采购 —— 白白流失利润。\"}, withData2:{pt:\"Decisão com dado — melhor preço, melhor fornecedor, rastreável.\",en:\"Decisions with data — best price, best supplier, traceable.\",zh:\"用数据决策 —— 最优价格、最优供应商、可追溯。\"}, kpis:[{num:\"−%\",cap:{pt:\"custo de aquisição\",en:\"acquisition cost\",zh:\"采购成本\"}}]}\n ]}\n];\n var uni = root.querySelector(\"#uni\");\n var uniScroll = uni ? uni.querySelector(\".uni-scroll\") : null;\n var uniBody = root.querySelector(\"#uniBody\");\n var gcards = root.querySelectorAll(\".gcard\");\n var currentUni = -1;\n function L(o){ if(!o) return \"\"; return lang===\"zh\" ? (o.zh||o.en||o.pt||\"\") : (o[lang]||o.en||o.pt||\"\"); }\n var UNI_META = {\n eyebrow:{pt:\"Universo\",en:\"Universe\",zh:\"宇宙\"},\n hint:{pt:\"Passe o mouse · clique um componente · role\",en:\"Hover · click a component · scroll\",zh:\"悬停 · 点击组件 · 下滚\"},\n old:{pt:\"O modelo não digitalizado\",en:\"The non-digitized model\",zh:\"未数字化的模式\"},\n wd:{pt:\"Com Data²\",en:\"With Data²\",zh:\"有了 Data²\"},\n moreH:{pt:\"E isso é só o começo. Qualquer coisa pode ser construída.\",en:\"And this is just the start. Anything can be built.\",zh:\"而这只是开始。任何东西都能被构建。\"},\n moreP:{pt:\"Cada componente aqui é um módulo Data². Precisa de algo que ainda não existe? A gente constrói — no mesmo sistema, com o mesmo dado.\",en:\"Every component here is a Data² module. Need something that doesn't exist yet? We build it — same system, same data.\",zh:\"这里的每个组件都是一个 Data² 模块。需要尚不存在的东西？我们构建它 —— 同一系统，同一数据。\"},\n demo:{pt:\"Agendar uma demo\",en:\"Book a demo\",zh:\"预约演示\"}\n };\n function uniLayout(u){\n if(u.layout) return u.layout;\n var n=u.comps.length, pts=[], pad=40, spanX=(820-100)-pad*2;\n for(var i=0;i1?i/(n-1):0.5; pts.push([Math.round(pad+fx*spanX), i%2===0?60:210]); }\n return pts;\n }\n function esc(s){ return String(s); }\n function parseIso(text){\n var spec={cell:50,hue:\"#4ddfe6\",blocks:[],wires:[]};\n (text||\"\").split(\"\\n\").forEach(function(ln){\n ln=ln.trim(); if(!ln||ln.charAt(0)===\"#\") return;\n if(ln.indexOf(\"hue \")===0){ spec.hue=ln.slice(4).trim(); return; }\n if(ln.indexOf(\"cell \")===0){ spec.cell=+ln.slice(5)||50; return; }\n var w=ln.match(/^([\\w-]+)\\s*->\\s*([\\w-]+)(.*)$/);\n if(w){ var wi={from:w[1],to:w[2],flow:/\\bflow\\b/.test(w[3])}; var du=w[3].match(/dur:([\\d.]+)/); if(du)wi.dur=+du[1]; var wh=w[3].match(/#([0-9a-fA-F]{3,8})/); if(wh)wi.hue=\"#\"+wh[1]; spec.wires.push(wi); return; }\n var m=ln.match(/^([\\w-]+)\\s+@(-?\\d+),(-?\\d+)(.*)$/);\n if(m){ var b={id:m[1],at:[+m[2],+m[3]]}; var rest=m[4]||\"\";\n var hh=rest.match(/\\bh(\\d+)/); b.h=hh?+hh[1]:1;\n var an=rest.match(/\\b(float|pulse|bob)\\b/); if(an)b.anim=an[1];\n var lb=rest.match(/\"([^\"]*)\"/); if(lb)b.label=lb[1];\n var hu=rest.match(/#([0-9a-fA-F]{3,8})/); if(hu)b.hue=\"#\"+hu[1];\n if(/\\bwin\\b/.test(rest)) b.detail=\"win\";\n spec.blocks.push(b);\n }\n });\n return spec;\n }\n function isoScene(spec){\n var s=spec.cell||50, hw=s/2, q=s/4, fh=s*0.5;\n var minX=1e9,maxX=-1e9,minY=1e9,maxY=-1e9, anchors={}, blocks=[];\n spec.blocks.forEach(function(b,i){\n var c=b.at[0], r=b.at[1], h=b.h||1;\n var X=(c-r)*hw, Ybase=(c+r)*q, topY=Ybase-h*fh, hue=b.hue||spec.hue;\n anchors[b.id!=null?b.id:i]={x:X,y:topY};\n blocks.push({b:b,X:X,Ybase:Ybase,topY:topY,h:h,hue:hue,i:i});\n if(X-hwmaxX)maxX=X+hw;\n if(topY-qmaxY)maxY=Ybase+q+22;\n });\n var out=\"\";\n (spec.wires||[]).forEach(function(w){\n var a=anchors[w.from], z=anchors[w.to]; if(!a||!z) return;\n var d=\"M\"+a.x.toFixed(1)+\",\"+a.y.toFixed(1)+\" L\"+z.x.toFixed(1)+\",\"+z.y.toFixed(1);\n out+='';\n if(w.flow) out+='';\n });\n blocks.sort(function(p,q2){return p.Ybase-q2.Ybase});\n blocks.forEach(function(bl){\n var X=bl.X,topY=bl.topY,h=bl.h,hue=bl.hue,b=bl.b;\n var top=[X+\",\"+(topY-q),(X+hw)+\",\"+topY,X+\",\"+(topY+q),(X-hw)+\",\"+topY].join(\" \");\n var left=[(X-hw)+\",\"+topY,X+\",\"+(topY+q),X+\",\"+(topY+q+h*fh),(X-hw)+\",\"+(topY+h*fh)].join(\" \");\n var right=[(X+hw)+\",\"+topY,X+\",\"+(topY+q),X+\",\"+(topY+q+h*fh),(X+hw)+\",\"+(topY+h*fh)].join(\" \");\n var cls=\"iso-blk\"+(b.anim?(\" iso-\"+b.anim):\"\")+(b.dataI!=null?\" comp\":\"\");\n var di=(b.dataI!=null?' data-i=\"'+b.dataI+'\"':'');\n var g='';\n g+='';\n for(var k=1;k'; }\n if(b.detail===\"win\"){ g+=''; }\n g+='';\n out+=g;\n if(b.label) out+=''+b.label+'';\n });\n var pad=34, vbx=(minX-pad), vby=(minY-pad), vbw=(maxX-minX)+pad*2, vbh=(maxY-minY)+pad*2;\n if(!isFinite(vbw)||vbw<=0) return '';\n return ''+out+'';\n }\n function sceneFor(u){\n if(u.scene) return u.scene;\n var n=u.comps.length, anims=[\"float\",\"pulse\",\"bob\"], heights=[2,3,1,2,4,2], lines=[\"hue \"+u.hue,\"cell 52\"];\n for(var i=0;i \"+jj+\" flow\"); }\n return lines.join(\"\\n\");\n }\n function isoMini(u,j){\n var a=[\"float\",\"pulse\",\"bob\"][j%3], b2=[\"pulse\",\"bob\",\"float\"][j%3];\n var dsl=\"hue \"+u.hue+\"\\ncell 44\\na @0,0 h2 \"+a+\" win\\nb @2,1 h1 \"+b2+\"\\na -> b flow\";\n return isoScene(parseIso(dsl));\n }\n // === isolab neon renderer (ported verbatim, namespaced *2) ===\n var ICONS2={\n chat:'',\n ai:'',\n user:'',\n screen:'',\n gear:'',\n bolt:'',\n plug:'',\n db:'',\n chart:'',\n doc:'',\n shield:'',\n cart:'',\n node:''\n };\n function parseIso2(text){\n var spec={cell:50,hue:\"#4ddfe6\",blocks:[],wires:[],context:false};\n (text||\"\").split(\"\\n\").forEach(function(ln){\n ln=ln.trim(); if(!ln||ln.charAt(0)===\"#\") return;\n if(ln.indexOf(\"hue \")===0){ spec.hue=ln.slice(4).trim(); return; }\n if(ln.indexOf(\"cell \")===0){ spec.cell=+ln.slice(5)||50; return; }\n if(ln===\"context\"||ln.indexOf(\"context \")===0){ spec.context=true; return; }\n var w=ln.match(/^([\\w-]+)\\s*->\\s*([\\w-]+)(.*)$/);\n if(w){ var wi={from:w[1],to:w[2],flow:/\\bflow\\b/.test(w[3])}; var du=w[3].match(/dur:([\\d.]+)/); if(du)wi.dur=+du[1]; var wh=w[3].match(/#([0-9a-fA-F]{3,8})/); if(wh)wi.hue=\"#\"+wh[1]; spec.wires.push(wi); return; }\n var m=ln.match(/^([\\w-]+)\\s+@(-?\\d+),(-?\\d+)(.*)$/);\n if(m){ var b={id:m[1],at:[+m[2],+m[3]]}; var rest=m[4]||\"\";\n var hh=rest.match(/\\bh(\\d+)/); b.h=hh?+hh[1]:1;\n var an=rest.match(/\\b(float|pulse|bob)\\b/); if(an)b.anim=an[1];\n var lb=rest.match(/\"([^\"]*)\"/); if(lb)b.label=lb[1];\n var hu=rest.match(/#([0-9a-fA-F]{3,8})/); if(hu)b.hue=\"#\"+hu[1];\n if(/\\bwin\\b/.test(rest)) b.detail=\"win\";\n var sh=rest.match(/\\bshape:(\\w+)/); if(sh)b.shape=sh[1];\n var ic=rest.match(/\\bicon:([a-z]+)/); if(ic)b.icon=ic[1];\n var cp=rest.match(/\\bcomp:(\\d+)/); if(cp)b.dataI=+cp[1];\n spec.blocks.push(b);\n }\n });\n return spec;\n }\n function poly2(a){ return a.map(function(p){return p[0].toFixed(1)+\",\"+p[1].toFixed(1)}).join(\" \"); }\n function shapeGeo2(shape,X,topY,Ybase,hw,q,H){\n var g={faces:[],edges:\"\",topC:[X,topY],floor:[X,Ybase,hw*1.3,q*1.25],contact:[X,Ybase,hw*0.95,q*0.85]};\n function seg(a,b){ return \"M\"+a[0].toFixed(1)+\",\"+a[1].toFixed(1)+\" L\"+b[0].toFixed(1)+\",\"+b[1].toFixed(1)+\" \"; }\n if(shape===\"cyl\"){\n var bot=topY+H;\n var body=\"M\"+(X-hw)+\",\"+topY+\" L\"+(X-hw)+\",\"+bot+\" A\"+hw+\",\"+q+\" 0 0 0 \"+(X+hw)+\",\"+bot+\" L\"+(X+hw)+\",\"+topY+\" A\"+hw+\",\"+q+\" 0 0 1 \"+(X-hw)+\",\"+topY+\" Z\";\n var topE=\"M\"+(X-hw)+\",\"+topY+\" A\"+hw+\",\"+q+\" 0 1 0 \"+(X+hw)+\",\"+topY+\" A\"+hw+\",\"+q+\" 0 1 0 \"+(X-hw)+\",\"+topY+\" Z\";\n g.faces.push({cls:\"fl\",d:body});\n g.faces.push({cls:\"ft\",d:topE});\n g.edges=topE+\" M\"+(X-hw)+\",\"+topY+\" L\"+(X-hw)+\",\"+bot+\" M\"+(X+hw)+\",\"+topY+\" L\"+(X+hw)+\",\"+bot+\" M\"+(X-hw)+\",\"+bot+\" A\"+hw+\",\"+q+\" 0 0 0 \"+(X+hw)+\",\"+bot;\n g.floor=[X,bot,hw*1.2,q*1.15]; g.contact=[X,bot,hw*0.9,q*0.78];\n return g;\n }\n if(shape===\"pyr\"){\n var apex=[X,topY],pl=[X-hw,Ybase],pf=[X,Ybase+q],pr=[X+hw,Ybase];\n g.faces.push({cls:\"fl\",pts:[apex,pl,pf]});\n g.faces.push({cls:\"fr\",pts:[apex,pf,pr]});\n g.edges=seg(apex,pl)+seg(apex,pf)+seg(apex,pr)+seg(pl,pf)+seg(pf,pr);\n g.topC=[X,topY+(Ybase-topY)*0.42];\n g.floor=[X,Ybase+q*0.2,hw*1.15,q*1.1]; g.contact=[X,Ybase+q*0.12,hw*0.8,q*0.7];\n return g;\n }\n if(shape===\"hex\"){\n var bt=topY+H;\n var R=[X+hw,topY],TR=[X+hw*0.5,topY-q],TL=[X-hw*0.5,topY-q],L=[X-hw,topY],BL=[X-hw*0.5,topY+q],BR=[X+hw*0.5,topY+q];\n var Ld=[X-hw,bt],BLd=[X-hw*0.5,bt+q],BRd=[X+hw*0.5,bt+q],Rd=[X+hw,bt];\n g.faces.push({cls:\"ft\",pts:[R,TR,TL,L,BL,BR]});\n g.faces.push({cls:\"fl\",pts:[L,BL,BLd,Ld]});\n g.faces.push({cls:\"fm\",pts:[BL,BR,BRd,BLd]});\n g.faces.push({cls:\"fr\",pts:[BR,R,Rd,BRd]});\n g.edges=seg(R,TR)+seg(TR,TL)+seg(TL,L)+seg(L,BL)+seg(BL,BR)+seg(BR,R)+seg(L,Ld)+seg(BL,BLd)+seg(BR,BRd)+seg(R,Rd)+seg(Ld,BLd)+seg(BLd,BRd)+seg(BRd,Rd);\n g.floor=[X,bt,hw*1.25,q*1.2]; g.contact=[X,bt,hw*0.95,q*0.82];\n return g;\n }\n var T=[X,topY-q],Rr=[X+hw,topY],B=[X,topY+q],Ll=[X-hw,topY],fb=[X,topY+q+H],lb=[X-hw,topY+H],rb=[X+hw,topY+H];\n g.faces.push({cls:\"ft\",pts:[T,Rr,B,Ll]});\n g.faces.push({cls:\"fl\",pts:[Ll,B,fb,lb]});\n g.faces.push({cls:\"fr\",pts:[Rr,B,fb,rb]});\n g.edges=seg(T,Rr)+seg(Rr,B)+seg(B,Ll)+seg(Ll,T)+seg(Ll,lb)+seg(B,fb)+seg(Rr,rb)+seg(lb,fb)+seg(fb,rb);\n g.floor=[X,topY+q+H,hw*1.3,q*1.25]; g.contact=[X,topY+q+H,hw*0.95,q*0.82];\n return g;\n }\n function isoScene2(spec){\n var s=spec.cell||50, hw=s/2, q=s/4, fh=s*0.5;\n var minX=1e9,maxX=-1e9,minY=1e9,maxY=-1e9, anchors={}, blocks=[];\n spec.blocks.forEach(function(b,i){\n var c=b.at[0], r=b.at[1], h=b.h||1;\n var X=(c-r)*hw, Ybase=(c+r)*q, topY=Ybase-h*fh, hue=b.hue||spec.hue;\n anchors[b.id!=null?b.id:i]={x:X,y:topY};\n blocks.push({b:b,X:X,Ybase:Ybase,topY:topY,h:h,hue:hue,i:i});\n if(X-hw*1.3maxX)maxX=X+hw*1.3;\n if(topY-qmaxY)maxY=Ybase+q+s*0.62+16;\n });\n var minYb=1e9,maxYb=-1e9;\n blocks.forEach(function(bl){ if(bl.YbasemaxYb)maxYb=bl.Ybase; });\n var GRID=\"\",GHOSTS=\"\";\n if(blocks.length){\n var _cs=spec.blocks.map(function(b){return b.at[0]}),_rs=spec.blocks.map(function(b){return b.at[1]});\n var minC=Math.min.apply(null,_cs),maxC=Math.max.apply(null,_cs),minR=Math.min.apply(null,_rs),maxR=Math.max.apply(null,_rs);\n var g0=minC-1,g1=maxC+1,r0=minR-1,r1=maxR+1;\n var occ={}; spec.blocks.forEach(function(b){occ[b.at[0]+\"_\"+b.at[1]]=1;});\n var maxCR=Math.max.apply(null,spec.blocks.map(function(b){return b.at[0]+b.at[1]}));\n var sd=9176,rand=function(){ sd=(sd*1103515245+12345)&0x7fffffff; return sd/0x7fffffff; };\n var gl=\"\";\n for(var gc=g0;gc<=g1;gc++){ gl+=\"M\"+((gc-r0)*hw).toFixed(1)+\",\"+((gc+r0)*q).toFixed(1)+\" L\"+((gc-r1)*hw).toFixed(1)+\",\"+((gc+r1)*q).toFixed(1)+\" \"; }\n for(var gr=r0;gr<=r1;gr++){ gl+=\"M\"+((g0-gr)*hw).toFixed(1)+\",\"+((g0+gr)*q).toFixed(1)+\" L\"+((g1-gr)*hw).toFixed(1)+\",\"+((g1+gr)*q).toFixed(1)+\" \"; }\n GRID='';\n if(spec.context){\n var gh=[];\n for(var cc=g0;cc<=g1;cc++){ for(var rr=r0;rr<=r1;rr++){ if(occ[cc+\"_\"+rr]) continue; if(cc+rr>maxCR) continue; if(rand()>0.36) continue; gh.push({c:cc,r:rr,h:1+Math.floor(rand()*3)}); } }\n gh.sort(function(a,b){return (a.c+a.r)-(b.c+b.r)});\n gh.forEach(function(o){ var X=(o.c-o.r)*hw,Ybase=(o.c+o.r)*q,topY=Ybase-o.h*fh,H=o.h*fh; var geo=shapeGeo2(\"cube\",X,topY,Ybase,hw,q,H); var gg=''; geo.faces.forEach(function(f){ gg+=''; }); gg+=''; GHOSTS+=gg; if(X-hwmaxX)maxX=X+hw; if(topY-qmaxY)maxY=Ybase+q; });\n }\n var _xs=[(g0-r0)*hw,(g0-r1)*hw,(g1-r0)*hw,(g1-r1)*hw];\n minX=Math.min(minX,Math.min.apply(null,_xs)); maxX=Math.max(maxX,Math.max.apply(null,_xs));\n minY=Math.min(minY,(g0+r0)*q-q); maxY=Math.max(maxY,(g1+r1)*q+q);\n }\n var DEFS='';\n var out=GRID+GHOSTS;\n (spec.wires||[]).forEach(function(w){\n var a=anchors[w.from], z=anchors[w.to]; if(!a||!z) return;\n var d=\"M\"+a.x.toFixed(1)+\",\"+a.y.toFixed(1)+\" L\"+z.x.toFixed(1)+\",\"+z.y.toFixed(1);\n out+='';\n if(w.flow) out+='';\n });\n blocks.sort(function(p,q2){return p.Ybase-q2.Ybase});\n blocks.forEach(function(bl){\n var X=bl.X,topY=bl.topY,Ybase=bl.Ybase,h=bl.h,hue=bl.hue,b=bl.b,H=h*fh,i=bl.i;\n var shape=b.shape||\"cube\";\n var geo=shapeGeo2(shape,X,topY,Ybase,hw,q,H);\n var dep=maxYb>minYb?(Ybase-minYb)/(maxYb-minYb):1, op=(0.78+0.22*dep).toFixed(3);\n var mix=function(p,base){ return \"color-mix(in srgb,\"+hue+\" \"+p+\"%,\"+base+\")\"; };\n var gd='';\n var cls=\"iso-blk\"+(b.anim?(\" iso-\"+b.anim):\"\")+(b.dataI!=null?\" comp\":\"\");\n var di=(b.dataI!=null?' data-i=\"'+b.dataI+'\"':'');\n var g=''+gd;\n g+='';\n g+='';\n geo.faces.forEach(function(f){ var fill=\"url(#\"+f.cls+\"g\"+i+\")\"; if(f.d) g+=''; else g+=''; });\n if(shape===\"cube\"&&h>1){ for(var k=1;k'; } }\n if(b.detail===\"win\"&&shape===\"cube\"){\n for(var o2=fh*0.5;o2'; }\n g+='';\n }\n g+='';\n if(b.icon&&ICONS2[b.icon]){ var isc=(hw/30).toFixed(3); g+=''+ICONS2[b.icon]+''; }\n g+='';\n out+=g;\n if(b.label){ var lf=Math.max(10,Math.round(s*0.26)); var lw=(b.label.length*lf*0.6+18); var ly=(Ybase+q+lf+12); out+=''+b.label+''; }\n });\n var pad=42, vbx=(minX-pad), vby=(minY-pad), vbw=(maxX-minX)+pad*2, vbh=(maxY-minY)+pad*2;\n var sd2=4231,rnd=function(){ sd2=(sd2*1103515245+12345)&0x7fffffff; return sd2/0x7fffffff; };\n for(var di2=0;di2<14;di2++){ out+=''; }\n if(!isFinite(vbw)||vbw<=0) return '';\n return ''+DEFS+out+'';\n }\n var ICON_MAP2=[\n [/webchat|widget/i,\"chat\"],\n [/transbordo|handoff|humano|human|\\bsso\\b|identidade|onboard|colaborador|segurad/i,\"user\"],\n [/\\bbot\\b|triag|copilot|copiloto|assistent|\\bai\\b|recomenda|next-best|semantic|semânt|busca|search/i,\"ai\"],\n [/console|workspace|supervis|vitrine|storefront|catalog|catálogo|experiência/i,\"screen\"],\n [/alerta|alert|evento|gatilho|monitor|anomal/i,\"bolt\"],\n [/integr|vtex|graphql|connect|\\bapi\\b|outreach|ondas|waves|\\bcrm\\b/i,\"plug\"],\n [/\\bsql\\b|data lake|knowledge|conhecimento|registry|banco|\\bbom\\b|estrutura|planejamento|supply|fornec/i,\"db\"],\n [/score|analytics|performance|\\bbi\\b|painéis|painel|dashboard|metas|targets|modelagem|modeling|roi|financ|simulad|scenario|cenário/i,\"chart\"],\n [/fila|queue|csat|automa|\\brush\\b|agendad|scheduler|regras|rules|fluxo|ingest/i,\"gear\"],\n [/\\bocr\\b|leitura|documento|\\bdoc\\b|proposta|relatóri|export|planilha/i,\"doc\"],\n [/segment|\\bnode\\b|\\bkb\\b/i,\"node\"],\n [/foto|photo|imagem|image|estúdio|studio|conteúdo|content|mídia|media/i,\"screen\"],\n [/erp|loja|store|compra|procurement|sourcing/i,\"cart\"]\n ];\n function pickIcon2(comp){\n var s=((comp.title&&comp.title.en)||\"\")+\" \"+((comp.label&&comp.label.en)||\"\");\n for(var i=0;i c\"+j+\" flow\"); }\n return lines.join(\"\\n\");\n }\n function detailSpec(u,c,j){\n var ic=pickIcon2(c), sh=pickShape2(ic);\n var a=[\"float\",\"pulse\",\"bob\"][j%3], b2=[\"pulse\",\"bob\",\"float\"][j%3];\n var sh2=[\"hex\",\"cyl\",\"cube\",\"pyr\"][j%4], h1=[2,3,2][j%3];\n var lines=[\"hue \"+u.hue,\"cell 48\"];\n lines.push(\"m @0,0 h\"+h1+\" \"+a+\" shape:\"+sh+\" icon:\"+ic);\n lines.push(\"s @2,1 h1 \"+b2+\" shape:\"+sh2);\n lines.push(\"m -> s flow\");\n return lines.join(\"\\n\");\n }\n var __dio = null;\n function hxRgb(h){ h=(h||'#888888').replace('#',''); if(h.length===3) h=h[0]+h[0]+h[1]+h[1]+h[2]+h[2]; return [parseInt(h.substr(0,2),16)/255,parseInt(h.substr(2,2),16)/255,parseInt(h.substr(4,2),16)/255]; }\n function rgbHsl(r,g,b){ var mx=Math.max(r,g,b),mn=Math.min(r,g,b),h,s,l=(mx+mn)/2; if(mx===mn){h=0;s=0;} else { var d=mx-mn; s=l>0.5?d/(2-mx-mn):d/(mx+mn); h=(mx===r)?((g-b)/d+(g1)t-=1; if(t<1/6)return p+(q-p)*6*t; if(t<1/2)return q; if(t<2/3)return p+(q-p)*(2/3-t)*6; return p; } if(s===0)return [l,l,l]; var q=l<0.5?l*(1+s):l+s-l*s,p=2*l-q; return [f(p,q,h+1/3),f(p,q,h),f(p,q,h-1/3)]; }\n function neon(rgb,rotDeg,li){ var hsl=rgbHsl(rgb[0],rgb[1],rgb[2]); var h=(hsl[0]+(rotDeg||0)/360+1)%1; var s=Math.max(hsl[1],0.85); return hslRgb(h,s,li||0.6); }\n function kanjiFor(c,i){ var key=((((c&&c.label&&c.label.en)||'')+' '+((c&&c.label&&c.label.pt)||'')).toLowerCase()); var MAP=[[['webchat','chat','conversa'],'会話'],[['triage','triagem','bot'],'分流'],[['handoff','transbordo'],'引継'],[['console'],'制御'],[['queue','fila'],'待列'],[['csat','satisf'],'満足'],[['analytic','analy','painel','dashboard','painéis'],'分析'],[['copilot','copiloto','assist','ai '],'知能'],[['search','busca'],'検索'],[['crm','outreach','cadência','lead'],'顧客'],[['sql','query'],'問合'],[['export','planilha','spreadsheet'],'出力'],[['rush','ingest'],'取込'],[['store','record','erp','estoque'],'記録'],[['rule','regra','score'],'規則'],[['bom','estrutura'],'展開'],[['photo','foto','image','imagem','conteúdo','content'],'生成'],[['catalog','catálogo','produto','product'],'商品'],[['vtex','graphql','integr'],'接続'],[['sso','auth','login'],'認証'],[['alert','monitor'],'警報'],[['target','meta','plan'],'目標'],[['scenario','cenário','simul','model'],'模擬'],[['omnichannel','onda','wave','canal'],'波信'],[['semant','semânt','conhecimento','ground','ancorada','fonte','kb'],'知識'],[['next','próxima','ação','action','performance'],'行動'],[['supply','fornecimento','planejamento'],'供給']]; for(var m=0;m=0) return MAP[m][1]; } } var pool=['都','光','夜','街','電','網','機','塔']; return pool[(i||0)%pool.length]; }\n\n // ---- data-driven scene: each component => one neon building, tinted in the universe hue ----\n function dioramaScene(u){\n var boxes=[], sg=[], lamps=[], beacons=[];\n var ground=[.11,.12,.15], roofC=[.15,.15,.19];\n function bx(p,s,c,seed){ return {p:p,s:s,c:c,win:0,g:0,seed:seed||0}; }\n function em(p,s,c){ return {p:p,s:s,c:c,win:2,g:0,seed:0}; }\n function bld(p,s,tint,seed){ var t=tint||1.0; return {p:p,s:s,c:[0.26*t,0.25*t,0.31*t],win:1,g:0,seed:seed||0}; }\n function grd(p,s){ return {p:p,s:s,c:ground,win:0,g:1,seed:0}; }\n function roof(b,seed){ var ty=b.p[1]+b.s[1]/2; boxes.push(bx([b.p[0]-b.s[0]*0.18,ty+0.32,b.p[2]+b.s[2]*0.16],[b.s[0]*0.34,0.64,b.s[2]*0.34],roofC,seed)); boxes.push(bx([b.p[0]+b.s[0]*0.26,ty+0.75,b.p[2]-b.s[2]*0.2],[0.05,1.5,0.05],[.09,.09,.12],seed)); boxes.push(bx([b.p[0]+b.s[0]*0.12,ty+0.16,b.p[2]+b.s[2]*0.3],[b.s[0]*0.3,0.3,b.s[2]*0.22],roofC,seed)); beacons.push([b.p[0]+b.s[0]*0.26,ty+1.55,b.p[2]-b.s[2]*0.2]); }\n function detail(b,seed){ var fz=b.p[2]+b.s[2]/2, base=b.p[1]-b.s[1]/2, cx=b.p[0]; boxes.push(em([cx,base+0.42,fz+0.04],[b.s[0]*0.66,0.52,0.04],[1.0,0.72,0.36])); boxes.push({p:[cx,base+0.66,fz+0.28],s:[b.s[0]*0.72,0.09,0.5],c:(seed>0.5?[.5,.12,.14]:[.12,.32,.18]),win:0,g:0,seed:0}); boxes.push(bx([cx-b.s[0]/2-0.11,base+b.s[1]*0.58,b.p[2]+0.35],[0.22,0.3,0.36],[.1,.1,.13],0)); boxes.push(bx([cx-b.s[0]/2-0.11,base+b.s[1]*0.34,b.p[2]-0.35],[0.2,0.26,0.32],[.1,.1,.13],0)); }\n function lamp(x,zz){ boxes.push(bx([x,0.9,zz],[0.06,1.8,0.06],[.08,.08,.10],0)); boxes.push(bx([x-0.13,1.78,zz],[0.28,0.06,0.1],[.08,.08,.10],0)); boxes.push(em([x-0.24,1.72,zz],[0.14,0.1,0.14],[1.0,0.72,0.34])); lamps.push([x-0.2,1.45,zz]); }\n function road(cx,cz,sx,sz){ boxes.push({p:[cx,0.02,cz],s:[sx,0.06,sz],c:[.05,.055,.075],win:0,g:0,seed:0}); }\n function paint(cx,cz,sx,sz){ boxes.push({p:[cx,0.055,cz],s:[sx,0.02,sz],c:[.3,.31,.34],win:2,g:0,seed:0}); }\n function vending(x,z,col){ boxes.push(bx([x,0.45,z],[0.5,0.9,0.42],[.08,.08,.1],0)); boxes.push(em([x,0.52,z+0.22],[0.36,0.64,0.03],col)); }\n function figure(x,z){ boxes.push(bx([x,0.27,z],[0.16,0.42,0.14],[.05,.05,.07],0)); boxes.push(bx([x,0.55,z],[0.12,0.13,0.12],[.06,.06,.08],0)); }\n function lanternWire(x1,x2,z,y,n,col){ boxes.push(bx([(x1+x2)*0.5,y+0.04,z],[Math.abs(x2-x1),0.02,0.02],[.06,.06,.07],0)); for(var i=0;i3.4) sg.push(bladeZ(b,0.6,kj,lab,col,1.0));\n else sg.push(onZ(b,0.62,kj,lab,col,0.98));\n }\n lanternWire(-5.2,5.2,4.35,2.5,7,[1.0,0.52,0.2]);\n vending(-4.9,3.7,main); vending(4.7,-1.4,acc1);\n figure(-2.2,3.95); figure(0.9,4.05);\n return {boxes:boxes,signs:sg,lamps:lamps,beacons:beacons};\n }\n\n // ---- render core: inlined VERBATIM from the isoshader engine (lab UI stripped) ----\n function mountDiorama(canvas, scene, opts){\n opts=opts||{};\n var gl=canvas.getContext('webgl2',{antialias:true,alpha:false,premultipliedAlpha:false});\n if(!gl){ if(window.console)console.warn('[diorama] WebGL2 indisponivel'); return {destroy:function(){}}; }\n var CJK='\"Hiragino Sans\",\"Hiragino Kaku Gothic ProN\",\"PingFang SC\",\"Noto Sans CJK JP\",\"Yu Gothic\",sans-serif';\n var CUBE=[]; (function(){\n var F=[\n [[.5,-.5,-.5],[.5,.5,-.5],[.5,.5,.5],[.5,-.5,.5],[1,0,0]],\n [[-.5,-.5,.5],[-.5,.5,.5],[-.5,.5,-.5],[-.5,-.5,-.5],[-1,0,0]],\n [[-.5,.5,-.5],[-.5,.5,.5],[.5,.5,.5],[.5,.5,-.5],[0,1,0]],\n [[-.5,-.5,.5],[-.5,-.5,-.5],[.5,-.5,-.5],[.5,-.5,.5],[0,-1,0]],\n [[-.5,-.5,.5],[.5,-.5,.5],[.5,.5,.5],[-.5,.5,.5],[0,0,1]],\n [[.5,-.5,-.5],[-.5,-.5,-.5],[-.5,.5,-.5],[.5,.5,-.5],[0,0,-1]]\n ];\n F.forEach(function(f){ [f[0],f[1],f[2],f[0],f[2],f[3]].forEach(function(v){ CUBE.push(v[0],v[1],v[2],f[4][0],f[4][1],f[4][2]); }); });\n })();\n function bx(p,s,c,seed){ return {p:p,s:s,c:c,win:0,g:0,seed:seed||0}; }\n function em(p,s,c){ return {p:p,s:s,c:c,win:2,g:0,seed:0}; }\n function car(boxes,x,zz,col,ax,dir){ ax=ax||'x'; dir=dir||1;\n boxes.push(em([x,0.066,zz],[ax==='x'?1.4:0.86,0.02,ax==='x'?0.86:1.4],[.009,.009,.013]));\n if(ax==='x'){\n boxes.push(bx([x,0.26,zz],[1.0,0.26,0.52],col,0)); boxes.push(bx([x,0.48,zz],[0.52,0.22,0.48],[col[0]*0.55,col[1]*0.55,col[2]*0.6],0));\n boxes.push(em([x+dir*0.47,0.28,zz],[0.06,0.12,0.44],[1.,0.95,0.72])); boxes.push(em([x-dir*0.47,0.28,zz],[0.06,0.1,0.44],[1.,0.18,0.12]));\n boxes.push(bx([x-0.32,0.12,zz-0.29],[0.18,0.18,0.09],[.04,.04,.05],0)); boxes.push(bx([x-0.32,0.12,zz+0.29],[0.18,0.18,0.09],[.04,.04,.05],0)); boxes.push(bx([x+0.32,0.12,zz-0.29],[0.18,0.18,0.09],[.04,.04,.05],0)); boxes.push(bx([x+0.32,0.12,zz+0.29],[0.18,0.18,0.09],[.04,.04,.05],0));\n } else {\n boxes.push(bx([x,0.26,zz],[0.52,0.26,1.0],col,0)); boxes.push(bx([x,0.48,zz],[0.48,0.22,0.52],[col[0]*0.55,col[1]*0.55,col[2]*0.6],0));\n boxes.push(em([x,0.28,zz+dir*0.47],[0.44,0.12,0.06],[1.,0.95,0.72])); boxes.push(em([x,0.28,zz-dir*0.47],[0.44,0.1,0.06],[1.,0.18,0.12]));\n boxes.push(bx([x-0.29,0.12,zz-0.32],[0.09,0.18,0.18],[.04,.04,.05],0)); boxes.push(bx([x-0.29,0.12,zz+0.32],[0.09,0.18,0.18],[.04,.04,.05],0)); boxes.push(bx([x+0.29,0.12,zz-0.32],[0.09,0.18,0.18],[.04,.04,.05],0)); boxes.push(bx([x+0.29,0.12,zz+0.32],[0.09,0.18,0.18],[.04,.04,.05],0));\n }\n }\n var RA=-6.6,RB=6.6,RF=5.5,RK=-3.5,L0=RB-RA,L1=RF-RK,L2=RB-RA,L3=RF-RK,RP=L0+L1+L2+L3;\n function ringPos(d){ d=((d%RP)+RP)%RP;\n if(d1.0||c.y<0.0||c.y>1.0||c.z>1.0) return 1.0;\n float bias=0.0025, s=0.0, tx=1.0/1024.0;\n for(int i=-1;i<=1;i++)for(int j=-1;j<=1;j++){ float d=texture(uShadow,c.xy+vec2(float(i),float(j))*tx).r; s+=(c.z-bias>d)?0.0:1.0; }\n return s/9.0;\n}\nvoid main(){\n if(vWin>1.5){ O=vec4(vCol*3.2,1.0); return; }\n vec3 n=normalize(vN); vec3 an=abs(n);\n float up=n.y*0.5+0.5;\n vec3 amb=mix(vec3(0.018,0.022,0.038),vec3(0.08,0.11,0.19),up);\n float face=(an.y>=an.x&&an.y>=an.z)?1.0:((an.x>an.z)?(n.x>0.0?0.92:0.72):(n.z>0.0?0.84:0.66));\n float shf=mix(1.0-uShAmt,1.0,shadow(vW));\n float ndl=max(dot(n,uLDir),0.0);\n vec3 col=vCol*(amb*face + vec3(0.55,0.62,0.82)*ndl*shf)*1.3;\n if(vWin>0.5) col*=0.82+0.18*smoothstep(0.0,4.0,vW.y);\n if(vWin>0.5 && an.y<0.5){\n vec2 uv=(an.x>0.5)? vObj.zy : vObj.xy;\n vec2 cell=floor(uv/0.5); vec2 f=fract(uv/0.5);\n float box=step(0.2,f.x)*step(f.x,0.8)*step(0.28,f.y)*step(f.y,0.86);\n float h=hash(cell+vSeed*17.0+7.3);\n float on=step(0.30+0.22*fract(vSeed*5.3),h);\n float br=0.4+1.0*hash(cell+vSeed*9.0+3.1);\n vec3 wc=mix(vec3(1.0,0.78,0.44),vec3(1.0,0.94,0.8),hash(cell+9.9));\n col+=wc*box*on*br*uWinI;\n }\n for(int i=0;i<16;i++){ if(i>=uNL) break; vec3 dl=uLP[i]-vW; float d=length(dl); vec3 ld=dl/max(d,0.001); float at=1.0/(1.0+d*d*3.4); col+=uLC[i]*at*(0.28+0.72*max(dot(n,ld),0.0)); }\n col=mix(col, vec3(0.02,0.028,0.055), (1.0-exp(-max(length(vW-uEye)-22.0,0.0)*0.03))*0.72);\n O=vec4(col,1.0);\n}`;\n var DVS=`#version 300 es\nlayout(location=0) in vec3 aPos; layout(location=2) in vec3 iPos; layout(location=3) in vec3 iSize;\nuniform mat4 uLVP;\nvoid main(){ gl_Position=uLVP*vec4(aPos*iSize+iPos,1.0); }`;\n var DFS=`#version 300 es\nprecision highp float; void main(){}`;\n var SVS=`#version 300 es\nlayout(location=0) in vec2 aPos; layout(location=1) in vec2 aUv;\nuniform mat4 uVP; uniform mat4 uModel; out vec2 vUv;\nvoid main(){ vUv=aUv; gl_Position=uVP*uModel*vec4(aPos,0.0,1.0); }`;\n var SFS=`#version 300 es\nprecision highp float;\nin vec2 vUv; out vec4 O; uniform sampler2D uTex; uniform float uGlow;\nvoid main(){ vec4 t=texture(uTex,vUv); if(t.a<0.02) discard; O=vec4(t.rgb*uGlow, t.a); }`;\n var PVS=`#version 300 es\nlayout(location=0) in vec2 aP; out vec2 vUv; void main(){ vUv=aP*0.5+0.5; gl_Position=vec4(aP,0.,1.); }`;\n var BLURFS=`#version 300 es\nprecision highp float; in vec2 vUv; out vec4 O; uniform sampler2D uTex; uniform vec2 uDir; uniform float uBright;\nvoid main(){ float w[5]=float[5](0.227,0.194,0.121,0.054,0.016); vec3 c=texture(uTex,vUv).rgb*w[0];\n for(int i=1;i<5;i++){ c+=texture(uTex,vUv+uDir*float(i)).rgb*w[i]; c+=texture(uTex,vUv-uDir*float(i)).rgb*w[i]; }\n if(uBright>0.5){ float l=max(c.r,max(c.g,c.b)); c*=smoothstep(0.55,1.0,l); } O=vec4(c,1.); }`;\n var COMPFS=`#version 300 es\nprecision highp float; in vec2 vUv; out vec4 O; uniform sampler2D uScene; uniform sampler2D uBloom; uniform float uBloomI,uExp,uSat;\nvec3 aces(vec3 x){ return clamp((x*(2.51*x+0.03))/(x*(2.43*x+0.59)+0.14),0.,1.); }\nfloat hash(vec2 p){ p=fract(p*vec2(123.34,456.21)); p+=dot(p,p+45.32); return fract(p.x*p.y); }\nvoid main(){\n float ca=0.0016; vec3 s=vec3(texture(uScene,vUv+vec2(ca,0.)).r,texture(uScene,vUv).g,texture(uScene,vUv-vec2(ca,0.)).b), b=texture(uBloom,vUv).rgb;\n vec3 col=aces((s+b*uBloomI)*uExp);\n float lu=dot(col,vec3(.299,.587,.114));\n col=mix(col*vec3(0.88,0.96,1.12), col*vec3(1.08,1.0,0.9), smoothstep(0.2,0.7,lu));\n col=clamp((col-0.5)*1.12+0.5,0.0,1.0);\n col=mix(vec3(lu),col,uSat); col+=vec3(0.006,0.011,0.02)*(1.0-col);\n col+=vec3(0.4,0.5,0.72)*exp(-length((vUv-vec2(0.74,0.8))*vec2(1.0,1.25))*3.2)*0.13;\n vec2 vg=vUv; col*=0.40+0.60*pow(16.0*vg.x*vg.y*(1.0-vg.x)*(1.0-vg.y),0.28);\n col+=(hash(vUv*vec2(1600.,900.))-0.5)*0.012;\n col=pow(max(col,0.),vec3(0.4545));\n O=vec4(col,1.);\n}`;\n var mainP, depthP, signP, blurP, compP;\n try{ mainP=prog(VS,FS); depthP=prog(DVS,DFS); signP=prog(SVS,SFS); blurP=prog(PVS,BLURFS); compP=prog(PVS,COMPFS); }\n catch(err){ if(window.console)console.error('[diorama] shader',(err&&err.message)||String(err)); return {destroy:function(){}}; }\n\n var cubeVBO=gl.createBuffer(); gl.bindBuffer(gl.ARRAY_BUFFER,cubeVBO); gl.bufferData(gl.ARRAY_BUFFER,new Float32Array(CUBE),gl.STATIC_DRAW);\n function instData(list){ var a=[]; list.forEach(function(o){ a.push(o.p[0],o.p[1],o.p[2],o.s[0],o.s[1],o.s[2],o.c[0],o.c[1],o.c[2],o.win,o.seed||0); }); return new Float32Array(a); }\n function buildVAO(list){\n var vao=gl.createVertexArray(); gl.bindVertexArray(vao);\n gl.bindBuffer(gl.ARRAY_BUFFER,cubeVBO);\n gl.enableVertexAttribArray(0); gl.vertexAttribPointer(0,3,gl.FLOAT,false,24,0);\n gl.enableVertexAttribArray(1); gl.vertexAttribPointer(1,3,gl.FLOAT,false,24,12);\n var ib=gl.createBuffer(); gl.bindBuffer(gl.ARRAY_BUFFER,ib); gl.bufferData(gl.ARRAY_BUFFER,instData(list),gl.STATIC_DRAW);\n var S=44;\n gl.enableVertexAttribArray(2); gl.vertexAttribPointer(2,3,gl.FLOAT,false,S,0); gl.vertexAttribDivisor(2,1);\n gl.enableVertexAttribArray(3); gl.vertexAttribPointer(3,3,gl.FLOAT,false,S,12); gl.vertexAttribDivisor(3,1);\n gl.enableVertexAttribArray(4); gl.vertexAttribPointer(4,3,gl.FLOAT,false,S,24); gl.vertexAttribDivisor(4,1);\n gl.enableVertexAttribArray(5); gl.vertexAttribPointer(5,1,gl.FLOAT,false,S,36); gl.vertexAttribDivisor(5,1);\n gl.enableVertexAttribArray(6); gl.vertexAttribPointer(6,1,gl.FLOAT,false,S,40); gl.vertexAttribDivisor(6,1);\n gl.bindVertexArray(null);\n return {vao:vao,n:list.length};\n }\n var SQ=new Float32Array([-.5,-.5,0,1, .5,-.5,1,1, .5,.5,1,0, -.5,-.5,0,1, .5,.5,1,0, -.5,.5,0,0]);\n var sqVBO=gl.createBuffer(); gl.bindBuffer(gl.ARRAY_BUFFER,sqVBO); gl.bufferData(gl.ARRAY_BUFFER,SQ,gl.STATIC_DRAW);\n var sqVAO=gl.createVertexArray(); gl.bindVertexArray(sqVAO); gl.bindBuffer(gl.ARRAY_BUFFER,sqVBO); gl.enableVertexAttribArray(0); gl.vertexAttribPointer(0,2,gl.FLOAT,false,16,0); gl.enableVertexAttribArray(1); 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