{"product_id":"micro1","title":"micro1","description":"\u003cstyle\u003e\n.guidaio-v3 { --gv3-bg:#f6f5fb;--gv3-surface:#fff;--gv3-surface-soft:#fbfaff;--gv3-ink:#14132b;--gv3-ink-2:#2b2a4a;--gv3-muted:#6c6a8a;--gv3-line:#ecebf5;--gv3-line-2:#e0deef;--gv3-brand:#5b3df5;--gv3-brand-2:#7c63ff;--gv3-brand-soft:#efeaff;--gv3-brand-ink:#2c1d8a;--gv3-ok:#0f8a5a;--gv3-ok-soft:#e6f7ee;--gv3-warn:#b16800;--gv3-warn-soft:#fff3dc;--gv3-bad:#b3261e;--gv3-bad-soft:#fde7e6;--gv3-radius-lg:22px;--gv3-radius:16px;--gv3-radius-sm:10px;--gv3-shadow-sm:0 1px 2px rgba(20,19,43,.04);--gv3-shadow:0 12px 30px rgba(53,38,124,.07);\n  background:radial-gradient(1200px 600px at 80% -10%,rgba(124,99,255,.18),transparent 60%),radial-gradient(900px 500px at -10% 5%,rgba(91,61,245,.12),transparent 60%),var(--gv3-bg);\n  color:var(--gv3-ink);font-family:Inter,system-ui,-apple-system,\"Segoe UI\",Roboto,sans-serif;font-size:16px;line-height:1.6;-webkit-font-smoothing:antialiased;\n  max-width:1240px;margin:0 auto;padding:24px 16px 64px;border-radius:var(--gv3-radius-lg);}\n.guidaio-v3 *,.guidaio-v3 *::before,.guidaio-v3 *::after{box-sizing:border-box}\n.guidaio-v3 a{color:var(--gv3-brand);text-decoration:none}.guidaio-v3 a:hover{text-decoration:underline}\n.guidaio-v3 img{max-width:100%;display:block}\n.guidaio-v3 h1,.guidaio-v3 h2,.guidaio-v3 h3,.guidaio-v3 h4{font-family:\"Space Grotesk\",Inter,sans-serif;letter-spacing:-.01em;margin:0;color:var(--gv3-ink)}\n.guidaio-v3 svg{display:inline-block;vertical-align:middle}\n.guidaio-v3 .hero{position:relative;background:radial-gradient(700px 320px at 90% 0%,rgba(124,99,255,.18),transparent 70%),linear-gradient(180deg,#fff 0%,#fbfaff 100%);border:1px solid var(--gv3-line);border-radius:var(--gv3-radius-lg);box-shadow:var(--gv3-shadow);padding:32px;overflow:hidden}\n.guidaio-v3 .hero-grid{display:grid;grid-template-columns:minmax(0,1.5fr) minmax(280px,1fr);gap:28px;align-items:start}\n.guidaio-v3 .hero-head{display:flex;gap:16px;align-items:flex-start}\n.guidaio-v3 .logo-tile{width:72px;height:72px;border-radius:18px;border:1px solid var(--gv3-line-2);background:#fff;box-shadow:var(--gv3-shadow-sm);display:grid;place-items:center;overflow:hidden;flex:0 0 auto}\n.guidaio-v3 .logo-tile img{width:56px;height:56px;object-fit:contain}\n.guidaio-v3 .eyebrow{display:inline-flex;align-items:center;gap:6px;color:var(--gv3-brand-ink);background:var(--gv3-brand-soft);padding:6px 12px;border-radius:999px;font-size:12px;font-weight:700;letter-spacing:.04em;text-transform:uppercase}\n.guidaio-v3 h1.title{margin-top:12px;font-size:34px;line-height:1.1;color:var(--gv3-ink)}\n.guidaio-v3 .lede{margin:14px 0 0;font-size:17px;color:var(--gv3-ink-2);max-width:60ch}\n.guidaio-v3 .badge-row,.guidaio-v3 .chip-row{display:flex;flex-wrap:wrap;gap:8px;margin-top:16px}\n.guidaio-v3 .badge{display:inline-flex;align-items:center;gap:6px;padding:6px 11px;border-radius:999px;font-size:12px;font-weight:600;background:#fff;border:1px solid var(--gv3-line-2);color:var(--gv3-ink-2)}\n.guidaio-v3 .badge.ok{background:var(--gv3-ok-soft);color:var(--gv3-ok);border-color:#b8e8cc}\n.guidaio-v3 .badge.warn{background:var(--gv3-warn-soft);color:var(--gv3-warn);border-color:#f1d6a3}\n.guidaio-v3 .badge.bad{background:var(--gv3-bad-soft);color:var(--gv3-bad);border-color:#f5c2c0}\n.guidaio-v3 .badge.brand{background:var(--gv3-brand-soft);color:var(--gv3-brand-ink);border-color:#d6cdfb}\n.guidaio-v3 .tbd-row{margin-top:14px;display:grid;gap:10px}\n.guidaio-v3 .tbd-row .label{font-size:11px;font-weight:700;letter-spacing:.06em;text-transform:uppercase;color:var(--gv3-muted)}\n.guidaio-v3 .chip{display:inline-flex;align-items:center;gap:6px;padding:5px 11px;border-radius:999px;font-size:13px;border:1px solid var(--gv3-line-2);background:#fff;color:var(--gv3-ink-2)}\n.guidaio-v3 .chip.cat{background:#eef2ff;color:#3730a3;border-color:#c7d2fe}\n.guidaio-v3 .chip.dom{background:#ecfeff;color:#0e7490;border-color:#a5f3fc}\n.guidaio-v3 .chip.prof{background:#fdf4ff;color:#86198f;border-color:#f5d0fe}\n.guidaio-v3 .cta-row{display:flex;gap:10px;flex-wrap:wrap;margin-top:22px}\n.guidaio-v3 .btn{display:inline-flex;align-items:center;gap:8px;padding:11px 16px;border-radius:12px;font-weight:700;border:1px solid transparent;cursor:pointer;font-size:14px}\n.guidaio-v3 .btn:hover{text-decoration:none}\n.guidaio-v3 .btn-primary{background:linear-gradient(135deg,var(--gv3-brand) 0%,var(--gv3-brand-2) 100%);color:#fff;box-shadow:0 14px 28px rgba(91,61,245,.28)}\n.guidaio-v3 .btn-secondary{background:#fff;color:var(--gv3-brand-ink);border-color:#d6cdfb}\n.guidaio-v3 .btn-ghost{background:transparent;color:var(--gv3-ink-2);border-color:var(--gv3-line-2)}\n.guidaio-v3 .affiliate-note{margin-top:10px;font-size:12px;color:var(--gv3-muted)}\n.guidaio-v3 .snapshot{background:#fff;border:1px solid var(--gv3-line);border-radius:var(--gv3-radius-lg);padding:20px;box-shadow:var(--gv3-shadow)}\n.guidaio-v3 .snapshot h3{font-size:13px;text-transform:uppercase;letter-spacing:.08em;color:var(--gv3-brand-ink);margin-bottom:14px}\n.guidaio-v3 .snapshot dl{margin:0;display:grid;grid-template-columns:1fr;gap:12px}\n.guidaio-v3 .snapshot .row{display:grid;grid-template-columns:1fr auto;gap:8px;padding-bottom:12px;border-bottom:1px dashed var(--gv3-line-2)}\n.guidaio-v3 .snapshot .row:last-child{border-bottom:0;padding-bottom:0}\n.guidaio-v3 .snapshot dt{color:var(--gv3-muted);font-size:13px;margin:0}\n.guidaio-v3 .snapshot dd{margin:0;text-align:right;font-weight:700;color:var(--gv3-ink);font-size:13px}\n.guidaio-v3 .snapshot dd small{display:block;font-weight:500;color:var(--gv3-muted);font-size:11px;text-align:right}\n.guidaio-v3 .price-big{font-family:\"Space Grotesk\";font-size:20px;line-height:1}\n.guidaio-v3 .toc{margin:20px 0 24px;padding:10px;background:rgba(255,255,255,.85);border:1px solid var(--gv3-line);border-radius:22px;box-shadow:var(--gv3-shadow-sm);display:flex;flex-wrap:wrap;gap:8px;overflow-x:auto}\n.guidaio-v3 .toc a{padding:8px 14px;border-radius:999px;font-size:13px;font-weight:600;color:var(--gv3-brand-ink);background:#fff;white-space:nowrap;border:1px solid var(--gv3-line-2);box-shadow:var(--gv3-shadow-sm);transition:transform .18s ease,box-shadow .18s ease,background .18s ease,color .18s ease,border-color .18s ease}\n.guidaio-v3 .toc a:hover{background:linear-gradient(135deg,var(--gv3-brand) 0%,var(--gv3-brand-2) 100%);color:#fff;border-color:transparent;transform:translateY(-2px) scale(1.04);box-shadow:0 8px 18px rgba(91,61,245,.25);text-decoration:none}\n.guidaio-v3 .justify{text-align:justify;text-justify:inter-word;hyphens:auto}\n.guidaio-v3 a.chip,.guidaio-v3 a.chip:hover{text-decoration:none}\n.guidaio-v3 a.chip{transition:transform .15s ease,box-shadow .15s ease,filter .15s ease;cursor:pointer}\n.guidaio-v3 a.chip:hover{transform:translateY(-1px);box-shadow:0 4px 10px rgba(53,38,124,.12);filter:brightness(.96)}\n.guidaio-v3 section.block{background:var(--gv3-surface);border:1px solid var(--gv3-line);border-radius:var(--gv3-radius-lg);padding:32px;margin-top:22px;box-shadow:var(--gv3-shadow-sm);scroll-margin-top:90px}\n.guidaio-v3 section.block.soft{background:var(--gv3-surface-soft)}\n.guidaio-v3 section.block .head{margin-bottom:20px}\n.guidaio-v3 section.block .eyebrow + h2{margin-top:10px}\n.guidaio-v3 section.block h2{font-size:24px;color:var(--gv3-ink)}\n.guidaio-v3 section.block .lead{margin-top:8px;color:var(--gv3-muted);max-width:70ch}\n.guidaio-v3 .grid-2{display:grid;grid-template-columns:repeat(2,minmax(0,1fr));gap:16px}\n.guidaio-v3 .grid-3{display:grid;grid-template-columns:repeat(3,minmax(0,1fr));gap:14px}\n.guidaio-v3 .rich p{margin:0 0 14px}.guidaio-v3 .rich p:last-child{margin:0}\n.guidaio-v3 ul.brand-list{list-style:none;padding:0;margin:0;display:grid;gap:10px}\n.guidaio-v3 ul.brand-list li{position:relative;padding-left:26px;color:var(--gv3-ink-2)}\n.guidaio-v3 ul.brand-list li::before{content:\"\";position:absolute;left:0;top:9px;width:14px;height:14px;border-radius:999px;background:var(--gv3-brand-soft);box-shadow:inset 0 0 0 4px var(--gv3-brand)}\n.guidaio-v3 ol.steps{list-style:none;counter-reset:s;padding:0;margin:0;display:grid;gap:14px}\n.guidaio-v3 ol.steps li{counter-increment:s;position:relative;padding-left:42px;color:var(--gv3-ink-2);min-height:30px}\n.guidaio-v3 ol.steps li::before{content:counter(s);position:absolute;left:0;top:0;width:30px;height:30px;border-radius:999px;background:linear-gradient(135deg,var(--gv3-brand) 0%,var(--gv3-brand-2) 100%);color:#fff;display:grid;place-items:center;font-weight:700;font-size:13px;box-shadow:0 6px 14px rgba(91,61,245,.25)}\n.guidaio-v3 .feature-card{border:1px solid var(--gv3-line);border-radius:var(--gv3-radius);padding:16px;background:#fff;display:grid;gap:8px}\n.guidaio-v3 .feature-card .icbox{width:36px;height:36px;border-radius:12px;background:var(--gv3-brand-soft);color:var(--gv3-brand-ink);display:grid;place-items:center}\n.guidaio-v3 .feature-card .ftitle{font-weight:700;color:var(--gv3-ink);font-size:15px}\n.guidaio-v3 .feature-card .fbody{color:var(--gv3-muted);font-size:13px}\n.guidaio-v3 .pc{border-radius:var(--gv3-radius);padding:20px;border:1px solid var(--gv3-line)}\n.guidaio-v3 .pc.pros{background:var(--gv3-ok-soft);border-color:#b8e8cc}\n.guidaio-v3 .pc.cons{background:var(--gv3-bad-soft);border-color:#f5c2c0}\n.guidaio-v3 .pc h3{font-size:17px;display:flex;align-items:center;gap:8px;margin-bottom:12px}\n.guidaio-v3 .pc.pros h3{color:var(--gv3-ok)}.guidaio-v3 .pc.cons h3{color:var(--gv3-bad)}\n.guidaio-v3 .pc ul{list-style:none;padding:0;margin:0;display:grid;gap:8px}\n.guidaio-v3 .pc li{display:flex;gap:8px;align-items:flex-start;color:var(--gv3-ink-2);font-size:14px}\n.guidaio-v3 .pc li svg{flex:0 0 auto;margin-top:3px}\n.guidaio-v3 .pc.pros li svg{color:var(--gv3-ok)}.guidaio-v3 .pc.cons li svg{color:var(--gv3-bad)}\n.guidaio-v3 .bestnot{display:grid;grid-template-columns:1fr 1fr;gap:16px}\n.guidaio-v3 .bestnot .card{border:1px solid var(--gv3-line);border-radius:var(--gv3-radius);padding:20px;background:#fff}\n.guidaio-v3 .bestnot h3{display:flex;align-items:center;gap:8px;font-size:17px;margin-bottom:12px}\n.guidaio-v3 .bestnot .for h3{color:var(--gv3-ok)}.guidaio-v3 .bestnot .not h3{color:var(--gv3-warn)}\n.guidaio-v3 .plan-grid{display:grid;grid-template-columns:repeat(3,minmax(0,1fr));gap:14px}\n.guidaio-v3 .plan{border:1px solid var(--gv3-line);border-radius:var(--gv3-radius-lg);padding:22px;background:#fff;display:grid;gap:10px;position:relative}\n.guidaio-v3 .plan.featured{border-color:#c7baff;background:linear-gradient(180deg,#fff 0%,#f7f3ff 100%);box-shadow:var(--gv3-shadow)}\n.guidaio-v3 .plan .pill{position:absolute;top:-12px;right:14px;background:linear-gradient(135deg,var(--gv3-brand) 0%,var(--gv3-brand-2) 100%);color:#fff;font-size:11px;font-weight:700;letter-spacing:.06em;padding:5px 9px;border-radius:999px;text-transform:uppercase}\n.guidaio-v3 .plan .pname{font-family:\"Space Grotesk\";font-weight:700;font-size:17px}\n.guidaio-v3 .plan .pprice{font-family:\"Space Grotesk\";font-size:24px;font-weight:700}\n.guidaio-v3 .plan .pprice small{font-size:13px;font-weight:500;color:var(--gv3-muted)}\n.guidaio-v3 .plan ul{list-style:none;padding:0;margin:6px 0 0;display:grid;gap:8px}\n.guidaio-v3 .plan ul li{display:flex;gap:8px;align-items:flex-start;color:var(--gv3-ink-2);font-size:14px}\n.guidaio-v3 .plan ul li svg{color:var(--gv3-brand);flex:0 0 auto;margin-top:3px}\n.guidaio-v3 .pricing-extras{margin-top:16px;display:grid;gap:10px}\n.guidaio-v3 .offer{display:flex;gap:10px;align-items:flex-start;padding:12px 14px;border-radius:12px;background:#fff7e6;border:1px solid #f1d6a3;color:var(--gv3-warn);font-size:14px}\n.guidaio-v3 .offer svg{flex:0 0 auto;margin-top:2px}\n.guidaio-v3 .trust-grid{display:grid;grid-template-columns:2fr 1fr;gap:16px}\n.guidaio-v3 .trust-grid .col{display:grid;gap:14px}\n.guidaio-v3 .trust-card{background:#fff;border:1px solid var(--gv3-line);border-radius:var(--gv3-radius);padding:20px}\n.guidaio-v3 .trust-card h3{font-size:15px;margin-bottom:10px}\n.guidaio-v3 .kv{display:grid;grid-template-columns:180px 1fr;gap:12px;padding:10px 0;border-top:1px solid var(--gv3-line)}\n.guidaio-v3 .kv:first-child{border-top:0;padding-top:0}\n.guidaio-v3 .kv .k{color:var(--gv3-muted);font-size:13px}\n.guidaio-v3 .kv .v{color:var(--gv3-ink);font-size:14px}\n.guidaio-v3 .availability{display:grid;grid-template-columns:1fr 1fr;gap:16px}\n.guidaio-v3 .availability .card{border:1px solid var(--gv3-line);border-radius:var(--gv3-radius);background:#fff;padding:18px}\n.guidaio-v3 .flag-row{display:flex;flex-wrap:wrap;gap:8px}\n.guidaio-v3 .flag{display:inline-flex;align-items:center;gap:5px;padding:5px 10px;border-radius:999px;background:#fff;border:1px solid var(--gv3-line-2);font-size:13px;color:var(--gv3-ink-2)}\n.guidaio-v3 section.block.watch{background:#fffaf0;border:1px solid #f1d6a3}\n.guidaio-v3 section.block.watch .head h2{color:var(--gv3-warn)}\n.guidaio-v3 .setup-grid{display:grid;grid-template-columns:1fr 1fr;gap:16px}\n.guidaio-v3 .setup-card{background:#fff;border:1px solid var(--gv3-line);border-radius:var(--gv3-radius);padding:20px}\n.guidaio-v3 .integrations{display:flex;flex-wrap:wrap;gap:8px}\n.guidaio-v3 .integration{display:inline-flex;align-items:center;gap:6px;padding:7px 11px;border-radius:12px;background:#fff;border:1px solid var(--gv3-line-2);color:var(--gv3-ink-2);font-size:13px;font-weight:600}\n.guidaio-v3 .company-grid{display:grid;grid-template-columns:1.4fr 1fr;gap:16px}\n.guidaio-v3 .company-card{border:1px solid var(--gv3-line);border-radius:var(--gv3-radius);background:#fff;padding:20px}\n.guidaio-v3 .timeline{display:grid;gap:8px;margin:8px 0 0}\n.guidaio-v3 .timeline .ev{padding:10px 14px;border-radius:12px;background:var(--gv3-brand-soft);color:var(--gv3-brand-ink);font-weight:600;font-size:14px;display:flex;align-items:center;gap:8px}\n.guidaio-v3 .social-row{display:flex;gap:8px;flex-wrap:wrap}\n.guidaio-v3 .social{width:36px;height:36px;border-radius:12px;border:1px solid var(--gv3-line-2);background:#fff;display:grid;place-items:center;color:var(--gv3-ink-2)}\n.guidaio-v3 .social:hover{background:var(--gv3-brand-soft);color:var(--gv3-brand-ink);border-color:#d6cdfb}\n.guidaio-v3 .res-grid{display:grid;grid-template-columns:repeat(3,minmax(0,1fr));gap:10px}\n.guidaio-v3 .res{display:flex;gap:10px;align-items:center;padding:10px 12px;border-radius:12px;border:1px solid var(--gv3-line);background:#fff;color:var(--gv3-ink-2);font-size:13px}\n.guidaio-v3 .res:hover{border-color:#d6cdfb;background:#fbfaff;text-decoration:none}\n.guidaio-v3 .res svg{color:var(--gv3-brand);flex:0 0 auto}\n.guidaio-v3 .res .url{color:var(--gv3-muted);font-size:11px;word-break:break-all}\n.guidaio-v3 .res .res-text{display:grid}\n.guidaio-v3 .alts{display:flex;flex-wrap:wrap;gap:8px}\n.guidaio-v3 .alt{display:inline-flex;align-items:center;gap:8px;padding:9px 13px;border-radius:14px;background:#fff;border:1px solid var(--gv3-line-2);font-weight:600;color:var(--gv3-ink-2);font-size:14px}\n.guidaio-v3 .alt .av{width:24px;height:24px;border-radius:8px;background:linear-gradient(135deg,#c7baff 0%,#efeaff 100%);display:grid;place-items:center;font-size:12px;font-weight:700;color:var(--gv3-brand-ink)}\n.guidaio-v3 .faq{display:grid;gap:10px}\n.guidaio-v3 .faq details{background:#fff;border:1px solid var(--gv3-line);border-radius:var(--gv3-radius);padding:14px 16px}\n.guidaio-v3 .faq summary{cursor:pointer;list-style:none;font-weight:700;color:var(--gv3-ink);display:flex;justify-content:space-between;align-items:center;gap:10px;font-size:15px}\n.guidaio-v3 .faq summary::-webkit-details-marker{display:none}\n.guidaio-v3 .faq summary svg{color:var(--gv3-brand)}\n.guidaio-v3 .faq .ans{color:var(--gv3-muted);margin-top:10px;font-size:14px}\n.guidaio-v3 section.block.conclusion{background:radial-gradient(700px 320px at 0% 0%,rgba(124,99,255,.18),transparent 60%),linear-gradient(135deg,#1c163a 0%,#2c1d8a 100%);color:#fff;border-color:#2c1d8a}\n.guidaio-v3 section.block.conclusion .head h2{color:#fff}\n.guidaio-v3 section.block.conclusion .lead,.guidaio-v3 section.block.conclusion .rich p{color:rgba(255,255,255,.88)}\n.guidaio-v3 section.block.conclusion .rich strong,.guidaio-v3 section.block.conclusion .rich b{color:#fff}\n.guidaio-v3 section.block.conclusion .eyebrow{background:rgba(255,255,255,.14);color:#fff}\n.guidaio-v3 section.block.conclusion .btn-secondary{background:rgba(255,255,255,.14);color:#fff;border-color:rgba(255,255,255,.25)}\n@media (max-width:1080px){.guidaio-v3 .hero-grid,.guidaio-v3 .trust-grid,.guidaio-v3 .company-grid,.guidaio-v3 .setup-grid,.guidaio-v3 .availability{grid-template-columns:1fr}.guidaio-v3 .grid-3,.guidaio-v3 .res-grid,.guidaio-v3 .plan-grid{grid-template-columns:repeat(2,minmax(0,1fr))}}\n@media (max-width:700px){.guidaio-v3{padding:12px 8px 48px}.guidaio-v3 .hero{padding:20px}.guidaio-v3 section.block{padding:20px}.guidaio-v3 .grid-2,.guidaio-v3 .grid-3,.guidaio-v3 .res-grid,.guidaio-v3 .plan-grid,.guidaio-v3 .bestnot,.guidaio-v3 .availability{grid-template-columns:1fr}.guidaio-v3 h1.title{font-size:28px}}\n\u003c\/style\u003e\n\u003cdiv class=\"guidaio-v3\" itemscope itemtype=\"https:\/\/schema.org\/SoftwareApplication\"\u003e\n\u003cmeta itemprop=\"name\" content=\"micro1: Expert Human Data for Frontier AI Model Training\"\u003e\n\u003cmeta itemprop=\"description\" content=\"micro1 is a San Francisco data lab supplying frontier AI labs with expert human data, RL environments and agent evaluations. Enterprise pricing on request.\"\u003e\n\u003cdiv class=\"hero\"\u003e\u003cdiv class=\"hero-grid\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"hero-head\"\u003e\n\u003cdiv class=\"logo-tile\"\u003e\u003cimg src=\"https:\/\/cdn.prod.website-files.com\/6a04bd23eb9d40f76dac1249\/6a04bd23eb9d40f76dac1ebd_favicon%20(1).png\" alt=\"micro1 logo\" itemprop=\"image\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"name-block\"\u003e\n\u003cspan class=\"eyebrow\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"m12 3-1.9 5.8a2 2 0 0 1-1.3 1.3L3 12l5.8 1.9a2 2 0 0 1 1.3 1.3L12 21l1.9-5.8a2 2 0 0 1 1.3-1.3L21 12l-5.8-1.9a2 2 0 0 1-1.3-1.3Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Data Labeling · Evaluation Benchmarks\u003c\/span\u003e\u003ch1 class=\"title\" itemprop=\"name\"\u003emicro1\u003c\/h1\u003e\n\u003cp class=\"lede justify\" itemprop=\"description\"\u003emicro1 is a San Francisco data lab supplying frontier AI labs with expert human data, reinforcement-learning environments and contextual agent evaluations across three offerings — Realm, Cortex and Robotics — sold entirely through direct commercial contact rather than self-service plans.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"badge-row\"\u003e\n\u003cspan class=\"badge ok\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Active\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"22 7 13.5 15.5 8.5 10.5 2 17\"\u003e\u003c\/polyline\u003e\u003cpolyline points=\"16 7 22 7 22 13\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e Contact Sales\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e No public API\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\u003e\u003c\/path\u003e\u003ccircle cx=\"9\" cy=\"7\" r=\"4\"\u003e\u003c\/circle\u003e\u003cpolyline points=\"16 11 18 13 22 9\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e 18+\u003c\/span\u003e\u003cspan class=\"badge brand\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Verified by Guidaio\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tbd-row\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"label\"\u003eCategories\u003c\/div\u003e\n\u003cdiv class=\"chip-row\"\u003e\n\u003ca class=\"chip cat\" href=\"\/collections\/data-labeling\"\u003eData Labeling\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/evaluation-benchmarks\"\u003eEvaluation Benchmarks\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/observability-monitoring\"\u003eObservability Monitoring\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/hr-recruiting\"\u003eHr Recruiting\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/dataset-marketplaces\"\u003eDataset Marketplaces\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/data-governance-quality\"\u003eData Governance Quality\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/fine-tuning\"\u003eFine Tuning\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"label\"\u003eTarget domains\u003c\/div\u003e\n\u003cdiv class=\"chip-row\"\u003e\n\u003ca class=\"chip dom\" href=\"\/collections\/data-ai\"\u003eData Ai\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/it-software\"\u003eIt Software\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/finance-banking\"\u003eFinance Banking\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/healthcare-medicine\"\u003eHealthcare Medicine\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/legal-justice\"\u003eLegal Justice\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/government-public-administration\"\u003eGovernment Public Administration\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/defense-intelligence\"\u003eDefense Intelligence\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/human-resources\"\u003eHuman Resources\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/customer-support-success\"\u003eCustomer Support Success\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/sales-business-development\"\u003eSales Business Development\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/supply-chain-logistics\"\u003eSupply Chain Logistics\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/accounting-audit\"\u003eAccounting Audit\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/operations-administration\"\u003eOperations Administration\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/science-r-d\"\u003eScience R D\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/education-academia\"\u003eEducation Academia\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/linguistic-research\"\u003eLinguistic Research\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/film-tv-video\"\u003eFilm Tv Video\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/freelancers-entrepreneurs\"\u003eFreelancers Entrepreneurs\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/students-job-seekers\"\u003eStudents Job Seekers\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/mechanical-manufacturing\"\u003eMechanical Manufacturing\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\u003ca class=\"btn btn-primary\" href=\"https:\/\/www.micro1.ai\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Discover micro1\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003caside class=\"snapshot\"\u003e\u003ch3\u003eSnapshot\u003c\/h3\u003e\n\u003cdl\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003ePricing model\u003c\/dt\u003e\n\u003cdd\u003eContact Sales\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eAPI available\u003c\/dt\u003e\n\u003cdd\u003eNo\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eDeployment\u003c\/dt\u003e\n\u003cdd\u003eWeb app\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eLanguages\u003c\/dt\u003e\n\u003cdd\u003eEnglish\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eTool status\u003c\/dt\u003e\n\u003cdd\u003eActive\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eMinimum age\u003c\/dt\u003e\n\u003cdd\u003e18+\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eCountry of origin\u003c\/dt\u003e\n\u003cdd\u003e🇺🇸 United States\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003c\/dl\u003e\u003c\/aside\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cnav class=\"toc\" aria-label=\"Page sections\"\u003e\u003ca href=\"#what\"\u003eWhat is it\u003c\/a\u003e\u003ca href=\"#bestnot\"\u003eWhen to use micro1 \/ When not to\u003c\/a\u003e\u003ca href=\"#how\"\u003eHow to use\u003c\/a\u003e\u003ca href=\"#proscons\"\u003ePros \u0026amp; Cons\u003c\/a\u003e\u003ca href=\"#pricing\"\u003ePricing\u003c\/a\u003e\u003ca href=\"#trust\"\u003eTrust \u0026amp; Privacy\u003c\/a\u003e\u003ca href=\"#availability\"\u003eAvailability\u003c\/a\u003e\u003ca href=\"#watch\"\u003eWatch-outs\u003c\/a\u003e\u003ca href=\"#setup\"\u003eSetup \u0026amp; Integrations\u003c\/a\u003e\u003ca href=\"#company\"\u003eCompany\u003c\/a\u003e\u003ca href=\"#resources\"\u003eResources\u003c\/a\u003e\u003ca href=\"#faq\"\u003eFAQ\u003c\/a\u003e\u003ca href=\"#conclusion\"\u003eConclusion\u003c\/a\u003e\u003c\/nav\u003e\n\u003csection class=\"block\" id=\"what\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOverview\u003c\/span\u003e\u003ch2\u003eWhat is micro1?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"rich justify\"\u003e\n\u003cp\u003e\u003cb\u003emicro1, Inc.\u003c\/b\u003e is a data lab based at 655 Montgomery Street in San Francisco. It describes itself as building the infrastructure for advancing intelligence through expert human data, real-world training environments and contextual evaluations, and it sells to frontier AI labs, Fortune 10 enterprises and US government agencies rather than to individual users.\u003c\/p\u003e\n\u003cp\u003eThe work is organised under three product lines. \u003cb\u003eRealm\u003c\/b\u003e is the training and evaluation engine: reinforcement-learning environments that mirror real-world scenarios, plus expert data across more than a hundred research domains including finance, medicine, law, coding, STEM, vision-language models and audio. Three internal components support it — \u003ci\u003eZara\u003c\/i\u003e, an AI recruiter agent that sources and vets domain experts; \u003ci\u003eMerit\u003c\/i\u003e, a dashboard quantifying pipeline quality, velocity and reliability; and \u003ci\u003eFlow\u003c\/i\u003e, the environment where experts create, review and deliver datasets. Clients get live access to model performance and pipeline health, with tracking of velocity, error rates, cost per task and quality.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eCortex\u003c\/b\u003e addresses agents already in production. It runs a four-step loop: designing success criteria and scoring rubrics, diagnosing failures through domain-expert review that goes beyond automated evals and LLM-as-judge, producing targeted training data for the highest-priority failure modes, then re-evaluating as the system evolves.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eRobotics\u003c\/b\u003e covers expert-demonstrated capture in point-of-view and third-person formats, dataset structuring with labelling, tracking, 2D and 3D annotation and QC, and a full-stack deployment lab where robots are run in controlled environments. Capture is multimodal: synchronised stereo video, IMU and multi-camera.\u003c\/p\u003e\n\u003cp\u003eTwo adjacent programmes complete the picture. \u003cb\u003eData partnerships\u003c\/b\u003e invite companies to turn anonymised operational workflows into recurring revenue, with announced tiers of 100,000, 500,000 and more than a million US dollars a year. A government offering carries Awardable status through the CDAO's Tradewinds Solutions Marketplace.\u003c\/p\u003e\n\u003cp\u003eBehind all of it sits a network of more than 130,000 vetted candidates spanning over a hundred domains and sixty languages. micro1 has published reasoning benchmarks for legal, pathology-report and financial tasks, raised a 35 million dollar Series A in September 2025 at a 500 million dollar valuation, and claims a run rate above 200 million dollars in annual recurring revenue.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 style=\"font-size:14px;margin-bottom:12px;color:var(--gv3-brand-ink);text-transform:uppercase;letter-spacing:.08em\"\u003eWhat it does\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eProduce expert human training data across more than 100 specialist domains\u003c\/li\u003e\n\u003cli\u003eBuild reinforcement-learning environments that mirror real-world agentic scenarios\u003c\/li\u003e\n\u003cli\u003eDesign evaluation criteria, rubrics and scoring for a given agent task\u003c\/li\u003e\n\u003cli\u003eDiagnose where, why, when and how a production agent fails, through domain-expert review\u003c\/li\u003e\n\u003cli\u003eMonitor agent reliability continuously as models, prompts, workflows and rules change\u003c\/li\u003e\n\u003cli\u003eCapture and annotate real-world robotics data for vision-language-action training\u003c\/li\u003e\n\u003cli\u003eRecruit, vet and certify domain experts through an AI interviewer\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"bestnot\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eAudience\u003c\/span\u003e\u003ch2\u003eWhen to use micro1 \/ When not to\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA quick filter to help you decide if micro1 is the right fit.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bestnot\"\u003e\n\u003cdiv class=\"card for\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M7 10v12\"\u003e\u003c\/path\u003e\u003cpath d=\"M15 5.88 14 10h5.83a2 2 0 0 1 1.92 2.56l-2.33 8A2 2 0 0 1 17.5 22H4a2 2 0 0 1-2-2v-8a2 2 0 0 1 2-2h2.76a2 2 0 0 0 1.79-1.11L12 2a3.13 3.13 0 0 1 3 3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When to use micro1\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eFrontier AI labs that need expert-generated training data, reinforcement-learning environments and published reasoning benchmarks\u003c\/li\u003e\n\u003cli\u003eProduct and engineering teams shipping agents into production who must measure, diagnose and monitor failure modes\u003c\/li\u003e\n\u003cli\u003eRobotics labs sourcing expert-demonstrated capture, 2D and 3D annotation and controlled deployment environments\u003c\/li\u003e\n\u003cli\u003eOperationally mature companies of roughly 30 employees or more looking to monetise anonymised internal workflows\u003c\/li\u003e\n\u003cli\u003eDomain experts — lawyers, physicians, financial analysts, linguists, engineers, cinematographers — seeking paid, fully remote AI training work\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card not\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M17 14V2\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 18.12 10 14H4.17a2 2 0 0 1-1.92-2.56l2.33-8A2 2 0 0 1 6.5 2H20a2 2 0 0 1 2 2v8a2 2 0 0 1-2 2h-2.76a2 2 0 0 0-1.79 1.11L12 22a3.13 3.13 0 0 1-3-3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When not to use micro1\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eIndividuals and small teams wanting a self-service tool: there is no plan, no public price and no online sign-up for clients\u003c\/li\u003e\n\u003cli\u003eDevelopers expecting an API or an SDK, since micro1 publishes no developer documentation of any kind\u003c\/li\u003e\n\u003cli\u003eCompanies below roughly 30 employees, or without documented internal processes, which fall outside the data partnership eligibility criteria\u003c\/li\u003e\n\u003cli\u003eRegulated buyers who need compliance artefacts up front: no DPA, no subprocessor list and no security certification is published\u003c\/li\u003e\n\u003cli\u003eTeams operating outside English, as data partnerships require English documentation and English-speaking representatives\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"how\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eGet started\u003c\/span\u003e\u003ch2\u003eHow to use micro1\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA typical end-to-end flow, from setup to results.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003col class=\"steps\"\u003e\n\u003cli\u003eDecide which side you are approaching from: buying data services, contributing company data, or applying as a domain expert\u003c\/li\u003e\n\u003cli\u003eFor client work, open the 'Get in touch' form and give your contact details, a description of the project and how you found micro1\u003c\/li\u003e\n\u003cli\u003eExpect a scoping conversation: there is no self-service path, no price list and no online checkout\u003c\/li\u003e\n\u003cli\u003eFor a data partnership, start with discovery and share workflow details so micro1 can assess their potential value\u003c\/li\u003e\n\u003cli\u003eMove to partnership design: agree approved workflows, privacy boundaries, anonymisation, contribution formats and internal approval processes\u003c\/li\u003e\n\u003cli\u003eBegin data distribution, contributing approved workflow examples on a recurring basis while the company operates normally\u003c\/li\u003e\n\u003cli\u003eFor Cortex, start with evaluation design and define success criteria, rubrics and scoring for the agent's task\u003c\/li\u003e\n\u003cli\u003eLet domain experts diagnose failures, then commission targeted training data against the priority failure modes\u003c\/li\u003e\n\u003cli\u003eRe-evaluate and monitor performance as models, prompts, workflows and rules change\u003c\/li\u003e\n\u003cli\u003eTo join as an expert instead, apply to an opportunity, take the 20 to 40 minute Zara AI interview, get certified, onboard, and follow your work on talent.micro1.ai\u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"proscons\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eQuick read\u003c\/span\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"pc pros\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Pros\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eA very large vetted expert network: more than 130,000 candidates across over 100 domains and 60 languages\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eThree published reasoning benchmarks — legal, pathology-report and financial — make part of the quality claim independently checkable\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eNamed case studies, including Box, rather than anonymous logos\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eSubstantial commercial traction: a 35 million dollar Series A at a 500 million dollar valuation and a claimed run rate above 200 million dollars ARR\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eAwardable status on the CDAO Tradewinds Solutions Marketplace simplifies procurement for US federal agencies\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eData partnership confidentiality commitments are unusually specific: negotiated scope, anonymisation, isolated pipelines, sample review and deletion\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eContributing companies keep ownership of their underlying data, and LLM vendors are barred from training on candidate data\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pc cons\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"4.93\" y1=\"4.93\" x2=\"19.07\" y2=\"19.07\"\u003e\u003c\/line\u003e\u003c\/svg\u003e Cons\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo public pricing, no plans and no trial: every engagement starts with a sales form\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo public API and no developer documentation of any kind\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo Data Processing Agreement is published or offered, and no subprocessor list is disclosed\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo security certification is displayed — neither SOC 2, nor ISO 27001, nor HIPAA\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThe word GDPR appears nowhere on the site, even though EU and UK data rights are granted\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo terms of service cover the website or the client services; only candidate and referral terms exist\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eRetention is described only as 'no longer than necessary', with no figure published anywhere\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"pricing\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003ePricing\u003c\/span\u003e\u003ch2\u003ePricing \u0026amp; Plans\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cp class=\"rich justify\" style=\"color:var(--gv3-ink-2);margin:0 0 18px;max-width:80ch\"\u003emicro1 publishes no prices. There is no pricing page, no plan structure, no permanent free plan and no free trial: every client engagement — Realm, Cortex, Robotics or the government offering — begins with the 'Get in touch' form and is quoted individually. The monetary figures that do appear on the site run the other way, being amounts micro1 pays out. Data partnerships are presented with potential tiers of 100,000, 500,000 and more than 1,000,000 US dollars in annual recurring revenue for the contributing company, determined case by case according to dataset size, workflow complexity, data quality, domain expertise and the rarity of the operations involved. Experts are paid hourly or per task, with the amount shown on each posting. Referrers receive up to 3,000 US dollars per successful placement and up to 50,000 US dollars for a company referral.\u003c\/p\u003e\n\u003cdiv class=\"plan-grid\"\u003e\n\u003cdiv class=\"plan\"\u003e\n\u003cdiv class=\"pname\"\u003ePlan 1\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eRealm — frontier evaluations and reinforcement-learning environments for AI labs\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003equoted on request\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"plan featured\"\u003e\n\u003cspan class=\"pill\"\u003eMost popular\u003c\/span\u003e\u003cdiv class=\"pname\"\u003ePlan 2\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eCortex — agent evaluation\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003efailure diagnosis and post-launch monitoring\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003equoted on request\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"plan\"\u003e\n\u003cdiv class=\"pname\"\u003ePlan 3\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eRobotics — expert-demonstrated capture\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eannotation and deployment-lab work\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003equoted on request\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"plan\"\u003e\n\u003cdiv class=\"pname\"\u003ePlan 4\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eData partnerships — a programme in which micro1 pays the contributing company\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003escoped and priced individually\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"plan\"\u003e\n\u003cdiv class=\"pname\"\u003ePlan 5\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eGovernment — agent buildouts for federal workflows\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eprocurable through CDAO Tradewinds Awardable status\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"plan\"\u003e\n\u003cdiv class=\"pname\"\u003eExpert access — free for the domain expert\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eapplication\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eAI interview and certification carry no fee\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pricing-extras\"\u003e\n\u003cdiv class=\"offer\"\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M2 9a3 3 0 1 1 0 6v2a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-2a3 3 0 1 1 0-6V7a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m9 14 6-6\"\u003e\u003c\/path\u003e\u003ccircle cx=\"9.5\" cy=\"9.5\" r=\".5\"\u003e\u003c\/circle\u003e\u003ccircle cx=\"14.5\" cy=\"14.5\" r=\".5\"\u003e\u003c\/circle\u003e\u003c\/svg\u003e\u003cdiv\u003e\n\u003cb\u003eSpecial offers\u003c\/b\u003e — Affiliate programme: up to 3,000 US dollars per successful hire, with a ready-to-post content library supplied to affiliates · Talent referral: up to 3,000 US dollars per placement, the amount shown on each job posting, with no limit on the number of referrals · Company referral to the data partnership programme: up to 50,000 US dollars · Referral bonuses are released once the referred expert logs ten hours of work or one task, within three months of onboarding · No client-side promotion exists: no discount, no trial and no starting credit\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"affiliate-note\"\u003ePrices and plans listed above may evolve. Always check the official pricing page before subscribing.\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"trust\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eTrust \u0026amp; Privacy\u003c\/span\u003e\u003ch2\u003eData, GDPR \u0026amp; hosting\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA consolidated view of how micro1 handles your data.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-grid\"\u003e\n\u003cdiv class=\"col\"\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eGDPR overview\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eThe acronym GDPR appears nowhere on micro1's site — a search across the text and archived HTML of nineteen pages returns no occurrence — and the company never claims compliance in so many words. What it does publish is narrower but concrete. Residents of the EU and the UK are granted access, a machine-readable copy, confirmation of processing, rectification, erasure, portability, restriction and objection, and withdrawal of consent, and may lodge a complaint with their local supervisory authority. Four legal bases are stated: contract, legitimate interests, legal obligation and consent. For international transfers micro1 says it may sign model clauses. A Data Protection Officer is reachable at dpo@micro1.ai and rights requests go to privacy@micro1.ai. No Article 27 EU representative is designated. Both privacy policies are dated 21 July 2026.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eWho owns the data?\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 12px\"\u003eUnder the data partnership programme, contributing companies retain ownership of their underlying data. micro1 structures approved workflow examples and delivers them to frontier AI labs, but the scope is agreed before anything moves: the company defines which workflows are approved, what must be redacted or anonymised, which security standards apply and who signs off internally. Companies may review representative samples before prepared data is used, and deletion is honoured on request or at the end of an engagement. Candidates keep control of their own profile and can delete their information at any time, subject to the legal retention obligations micro1 reserves.\u003c\/p\u003e\n\u003ch3\u003eReuse rights\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eOnward use of data is micro1's business, so reuse runs in both directions and is governed by contract rather than by any public licence. Approved, anonymised workflow examples are structured by micro1 and supplied to frontier AI labs for model training; personally identifiable information is removed where relevant, access is restricted to a limited number of authorised staff, engagements run through isolated pipelines so client data is not commingled, and some datasets undergo synthetic rewrites that preserve the workflow structure while loosening the tie to original records. For candidates the position is narrower and stated explicitly: micro1 reserves the right to use de-identified interview material — audio, video, transcripts and assessment results — to train and enhance its own proprietary machine learning models, but says it does not share candidate data, de-identified or otherwise, with AI model companies for the training of their models, and that the large language model providers it uses process candidate information solely on micro1's behalf and never to train their own models. Nothing published on the site grants an end user a standing right to reuse data without permission.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eData retention \u0026amp; training\u003c\/h3\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eRetention summary\u003c\/div\u003e\n\u003cdiv class=\"v justify\"\u003eBoth privacy policies use the same general rule: information is kept no longer than necessary for the purposes for which it is processed, with the period depending on those purposes and on applicable legal obligations. Candidate profiles are retained for as long as the service requires; a candidate may delete their information at any time, though some data is held longer to satisfy legal requirements. For data partnerships, information is retained only for agreed periods under agreed retention policies, contributing companies may review representative samples before prepared data is used, and deletion is honoured on request or at the end of an engagement. Personally identifiable information is removed where relevant and some datasets undergo synthetic rewrites. No figure is published anywhere: not a single retention period is quantified on the site.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eTrains on customer data\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cspan class=\"badge warn\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Yes\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eGDPR contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:dpo@micro1.ai\"\u003edpo@micro1.ai\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"col\"\u003e\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eHosting summary\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003emicro1 states that it is located in the United States and that information provided to it is transmitted to and processed in the United States, as well as in other locations where micro1, its vendors or its third-party partners operate. Protection therefore falls under United States law, which the privacy policy acknowledges may differ from the law of a user's own country. For international transfers the company says it may sign model clauses in accordance with European Union and other data protection laws. Cloud hosting and data storage appear in the list of vendor categories, but no provider is named, no region is committed to and no data-residency option is offered. The public site itself resolves to 198.202.211.1, an anycast Cloudflare address routed through a San Francisco node, which describes the delivery layer rather than where client datasets live. In short: United States jurisdiction, no contractual guarantee of hosting location, and no published detail about the infrastructure holding customer or candidate data.\u003c\/p\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eHosting countries\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cdiv class=\"flag-row\"\u003e\u003cspan class=\"flag\"\u003e🇺🇸 United States\u003c\/span\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"availability\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eAvailability\u003c\/span\u003e\u003ch2\u003eWhere micro1 works\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eCountry-level availability.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"availability\"\u003e\u003cdiv class=\"card\"\u003e\n\u003ch3 style=\"font-size:15px;display:flex;align-items:center;gap:8px;margin-bottom:10px;color:var(--gv3-bad)\"\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"4.93\" y1=\"4.93\" x2=\"19.07\" y2=\"19.07\"\u003e\u003c\/line\u003e\u003c\/svg\u003e Not available in\u003c\/h3\u003e\n\u003cdiv class=\"flag-row\"\u003e\n\u003cspan class=\"flag\"\u003eThese restrictions apply to expert recruitment and referrals, not to purchasing micro1's services: legal, regulatory and security requirements prevent micro1 from engaging residents of the countries and regions listed below\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇦🇫 Afghanistan\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇧🇾 Belarus\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇨🇳 China\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇨🇺 Cuba\u003c\/span\u003e\u003cspan class=\"flag\"\u003eDemocratic Republic of the Congo\u003c\/span\u003e\u003cspan class=\"flag\"\u003eHong Kong\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇮🇷 Iran\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇮🇶 Iraq\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇱🇾 Libya\u003c\/span\u003e\u003cspan class=\"flag\"\u003eMacao\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇲🇲 Myanmar (Burma)\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇰🇵 North Korea\u003c\/span\u003e\u003cspan class=\"flag\"\u003eRussian Federation\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇸🇴 Somalia\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇸🇸 South Sudan\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇸🇩 Sudan\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇸🇾 Syria\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇺🇦 Ukraine\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇻🇪 Venezuela\u003c\/span\u003e\u003cspan class=\"flag\"\u003e🇾🇩 Yemen\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block watch\" id=\"watch\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eWatch-outs\u003c\/span\u003e\u003ch2\u003eThings to keep in mind\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eRisks and trade-offs to weigh before adopting micro1.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cul class=\"brand-list\" style=\"grid-template-columns:repeat(2,1fr);display:grid;gap:12px 24px\"\u003e\n\u003cli\u003eNothing about cost, scope or contract terms can be known before a sales conversation, which makes budgeting and comparison difficult\u003c\/li\u003e\n\u003cli\u003eOwnership is retained on paper, but the point of a data partnership is that your operational data leaves the organisation and trains someone else's model: the scope is only as tight as the contract you negotiate\u003c\/li\u003e\n\u003cli\u003eCandidates should understand that de-identified interview audio, video, transcripts and assessment results may be used to train micro1's own models\u003c\/li\u003e\n\u003cli\u003eWith no DPA, no subprocessor list and no security certification, a regulated buyer has no published artefact to rely on and must obtain every guarantee contractually\u003c\/li\u003e\n\u003cli\u003eLiability is capped at 100 US dollars in the published candidate and referral terms, with disputes going to JAMS arbitration under Delaware law\u003c\/li\u003e\n\u003cli\u003eExpert income is project-dependent: certification confers eligibility, not placement, and payouts depend on role availability and client demand\u003c\/li\u003e\n\u003cli\u003eReferral earnings can encourage volume over fit; attribution works only through the referral link and pays once, on the first successful match\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"setup\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eSetup\u003c\/span\u003e\u003ch2\u003eSetup \u0026amp; Integrations\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"setup-grid\"\u003e\n\u003cdiv class=\"setup-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eTechnical difficulty\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eThere is nothing to install. micro1 delivers a service rather than software: no API, no SDK and no integration work. The effort is contractual and organisational instead of technical. A data partnership requires a negotiated design phase covering approved workflows, anonymisation rules, contribution formats and internal sign-off. A Cortex engagement requires an evaluation design phase before anything can be measured, since success criteria, rubrics and scoring must be defined first. For an expert, the entry cost is a 20 to 40 minute AI interview, occasionally followed by a short skills assessment.\u003c\/p\u003e\n\u003ch3 style=\"font-size:15px;margin:14px 0 10px\"\u003eDeployment\u003c\/h3\u003e\n\u003cdiv class=\"flag-row\"\u003e\u003cspan class=\"flag\"\u003eWeb app\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"setup-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin:14px 0 10px\"\u003eSupported languages\u003c\/h3\u003e\n\u003cdiv class=\"flag-row\"\u003e\u003cspan class=\"flag\"\u003eEnglish\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"company\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eCompany\u003c\/span\u003e\u003ch2\u003eBehind micro1\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"company-grid\"\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCompany name\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cb\u003emicro1, Inc.\u003c\/b\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eFounded\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e12\/01\/2023\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCountry of origin\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇺🇸 United States\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eHeadquarters\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e655 Montgomery St, Suite 1705, San Francisco, CA 94111\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eAli Ansari\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eINFORMATION_NOT_FOUND\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eDomain registrar country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇺🇸 United States\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eSupport contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:support@micro1.ai\"\u003esupport@micro1.ai\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"display:grid;gap:14px\"\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eFundraising\u003c\/h3\u003e\n\u003cdiv class=\"timeline\"\u003e\n\u003cdiv class=\"ev\"\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M4.5 16.5c-1.5 1.26-2 5-2 5s3.74-.5 5-2c.71-.84.7-2.13-.09-2.91a2.18 2.18 0 0 0-2.91-.09z\"\u003e\u003c\/path\u003e\u003cpath d=\"m12 15-3-3a22 22 0 0 1 2-3.95A12.88 12.88 0 0 1 22 2c0 2.72-.78 7.5-6 11a22.35 22.35 0 0 1-4 2z\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 12H4s.55-3.03 2-4c1.62-1.08 5 0 5 0\"\u003e\u003c\/path\u003e\u003cpath d=\"M12 15v5s3.03-.55 4-2c1.08-1.62 0-5 0-5\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Series A of 35 million US dollars announced on 12 September 2025, at a stated valuation of 500 million US dollars; the announcement is signed by founder Ali Ansari and names no investor\u003c\/div\u003e\n\u003cdiv class=\"ev\"\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M4.5 16.5c-1.5 1.26-2 5-2 5s3.74-.5 5-2c.71-.84.7-2.13-.09-2.91a2.18 2.18 0 0 0-2.91-.09z\"\u003e\u003c\/path\u003e\u003cpath d=\"m12 15-3-3a22 22 0 0 1 2-3.95A12.88 12.88 0 0 1 22 2c0 2.72-.78 7.5-6 11a22.35 22.35 0 0 1-4 2z\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 12H4s.55-3.03 2-4c1.62-1.08 5 0 5 0\"\u003e\u003c\/path\u003e\u003cpath d=\"M12 15v5s3.03-.55 4-2c1.08-1.62 0-5 0-5\"\u003e\u003c\/path\u003e\u003c\/svg\u003e No earlier or later funding round is mentioned anywhere on the site\u003c\/div\u003e\n\u003cdiv class=\"ev\"\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M4.5 16.5c-1.5 1.26-2 5-2 5s3.74-.5 5-2c.71-.84.7-2.13-.09-2.91a2.18 2.18 0 0 0-2.91-.09z\"\u003e\u003c\/path\u003e\u003cpath d=\"m12 15-3-3a22 22 0 0 1 2-3.95A12.88 12.88 0 0 1 22 2c0 2.72-.78 7.5-6 11a22.35 22.35 0 0 1-4 2z\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 12H4s.55-3.03 2-4c1.62-1.08 5 0 5 0\"\u003e\u003c\/path\u003e\u003cpath d=\"M12 15v5s3.03-.55 4-2c1.08-1.62 0-5 0-5\"\u003e\u003c\/path\u003e\u003c\/svg\u003e The founder's page claims a run rate exceeding 200 million US dollars in annual recurring revenue, a company statement rather than an audited figure\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eSocial\u003c\/h3\u003e\n\u003cdiv class=\"social-row\"\u003e\n\u003ca class=\"social\" href=\"https:\/\/www.linkedin.com\/company\/micro1\/\" target=\"_blank\" rel=\"noopener\" aria-label=\"LinkedIn\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003cpath d=\"M16 8a6 6 0 0 1 6 6v7h-4v-7a2 2 0 0 0-4 0v7h-4v-7a6 6 0 0 1 6-6z\"\u003e\u003c\/path\u003e\u003crect x=\"2\" y=\"9\" width=\"4\" height=\"12\"\u003e\u003c\/rect\u003e\u003ccircle cx=\"4\" cy=\"4\" r=\"2\"\u003e\u003c\/circle\u003e\u003c\/svg\u003e\u003c\/a\u003e\u003ca class=\"social\" href=\"https:\/\/www.instagram.com\/micro1.ai\/\" target=\"_blank\" rel=\"noopener\" aria-label=\"Instagram\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003crect x=\"2\" y=\"2\" width=\"20\" height=\"20\" rx=\"5\"\u003e\u003c\/rect\u003e\u003cpath d=\"M16 11.37A4 4 0 1 1 12.63 8 4 4 0 0 1 16 11.37z\"\u003e\u003c\/path\u003e\u003cline x1=\"17.5\" y1=\"6.5\" x2=\"17.51\" y2=\"6.5\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/a\u003e\u003ca class=\"social\" href=\"https:\/\/www.youtube.com\/@micro1_ai\" target=\"_blank\" rel=\"noopener\" aria-label=\"YouTube\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003cpath d=\"M22.54 6.42a2.78 2.78 0 0 0-1.94-2C18.88 4 12 4 12 4s-6.88 0-8.6.46a2.78 2.78 0 0 0-1.94 2A29 29 0 0 0 1 11.75a29 29 0 0 0 .46 5.33A2.78 2.78 0 0 0 3.4 19c1.72.46 8.6.46 8.6.46s6.88 0 8.6-.46a2.78 2.78 0 0 0 1.94-2 29 29 0 0 0 .46-5.25 29 29 0 0 0-.46-5.33z\"\u003e\u003c\/path\u003e\u003cpolygon points=\"9.75 15.02 15.5 11.75 9.75 8.48 9.75 15.02\"\u003e\u003c\/polygon\u003e\u003c\/svg\u003e\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"resources\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOfficial links\u003c\/span\u003e\u003ch2\u003eResources\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eAll the official URLs gathered for verification and reference.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"res-grid\"\u003e\n\u003ca class=\"res\" href=\"https:\/\/www.micro1.ai\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"M12 2a14.5 14.5 0 0 0 0 20 14.5 14.5 0 0 0 0-20\"\u003e\u003c\/path\u003e\u003cpath d=\"M2 12h20\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eHomepage\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003ewww.micro1.ai\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/www.micro1.ai\/realm\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolygon points=\"12 2 2 7 12 12 22 7 12 2\"\u003e\u003c\/polygon\u003e\u003cpolyline points=\"2 17 12 22 22 17\"\u003e\u003c\/polyline\u003e\u003cpolyline points=\"2 12 12 17 22 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eFeatures\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003ewww.micro1.ai\/realm\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/www.micro1.ai\/legal\/terms-candidates\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z\"\u003e\u003c\/path\u003e\u003cpolyline points=\"14 2 14 8 20 8\"\u003e\u003c\/polyline\u003e\u003cline x1=\"16\" y1=\"13\" x2=\"8\" y2=\"13\"\u003e\u003c\/line\u003e\u003cline x1=\"16\" y1=\"17\" x2=\"8\" y2=\"17\"\u003e\u003c\/line\u003e\u003cpolyline points=\"10 9 9 9 8 9\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eTerms\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003ewww.micro1.ai\/legal\/terms-candidates\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/www.micro1.ai\/legal\/privacy-policy\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003ePrivacy policy\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003ewww.micro1.ai\/legal\/privacy-policy\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"faq\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eFAQ\u003c\/span\u003e\u003ch2\u003eFrequently asked questions\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"faq\"\u003e\n\u003cdetails\u003e\u003csummary\u003eHow much does micro1 cost? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNo price is published. There is no pricing page, no plan and no trial: Realm, Cortex, Robotics and the government offering are all quoted individually after you complete the 'Get in touch' form.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWho does micro1 sell to? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eFrontier AI labs, Fortune 10 enterprises, companies willing to monetise their operational workflows, and US government agencies, which can procure through micro1's Awardable status on the CDAO Tradewinds Solutions Marketplace.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhat are Realm, Cortex and Robotics? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eRealm covers evaluations and reinforcement-learning environments for AI labs. Cortex evaluates, diagnoses and monitors agents already in production. Robotics supplies expert-demonstrated real-world capture, annotation and controlled deployment work.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow do I join micro1 as a domain expert? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eApply to an opportunity, take the Zara AI interview — 20 to 40 minutes, occasionally followed by a short skills assessment — get certified, complete onboarding, then start being paid hourly or per task. Certification does not guarantee immediate placement.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDoes micro1 recruit experts everywhere? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eIt hires globally with twenty exceptions. Legal, regulatory and security requirements rule out residents of Afghanistan, Belarus, China, Cuba, the Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, the Russian Federation, Somalia, South Sudan, Sudan, Syria, Ukraine, Venezuela and Yemen.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWho owns data contributed through a data partnership? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eThe contributing company retains ownership of its underlying data. It also defines which workflows are approved, what is redacted and which security standards apply, and it may review representative samples before prepared data is used.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDoes micro1 train AI models on customer data? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eYes — that is the service being sold. Approved, anonymised workflow data is structured and delivered to frontier AI labs for model training. For candidates the rule is narrower: de-identified interview material may train micro1's own models, but the company states it never shares candidate data with AI model companies for their training.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow much does the referral programme pay? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eUp to 3,000 US dollars per successful expert placement, released once the referred expert logs ten hours of work or one task, and up to 50,000 US dollars for referring a company to the data partnership programme.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDoes micro1 offer an API? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNo public API and no developer documentation were found. A full review of the site's 454-URL sitemap turned up no API documentation page.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDoes micro1 publish a DPA or a subprocessor list? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNeither. No Data Processing Agreement is published or offered, and no subprocessor list is disclosed — only categories of vendors are described. A Data Protection Officer is reachable at dpo@micro1.ai.\u003c\/div\u003e\u003c\/details\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block conclusion\" id=\"conclusion\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eConclusion\u003c\/span\u003e\u003ch2\u003eShould you pick micro1?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rich justify\" style=\"max-width:80ch\"\u003e\n\u003cp\u003emicro1 occupies a clearly defined position in the human-data market: it recruits, vets and pays domain experts, then turns their judgement into training data, reinforcement-learning environments and agent evaluations for frontier AI labs, large enterprises and US government agencies. The three product lines — Realm, Cortex and Robotics — are genuinely distinct rather than repackaged, and the company backs its claims with published reasoning benchmarks in law, pathology reporting and finance, named case studies including Box, a 35 million dollar Series A at a 500 million dollar valuation, and Awardable status on the CDAO Tradewinds Solutions Marketplace.\u003c\/p\u003e\n\u003cp\u003eProduct transparency is therefore reasonable. Contractual transparency is not. There is no pricing of any kind, no API, no Data Processing Agreement, no subprocessor list and no displayed security certification; the word GDPR does not appear anywhere on the site even though EU and UK data rights are granted; retention is described only as 'no longer than necessary', with no figure; and the only terms micro1 publishes cover candidates and referrers, not clients. Liability in those documents is capped at 100 US dollars.\u003c\/p\u003e\n\u003cp\u003eNone of this makes micro1 a poor supplier. Enterprise data work is normally negotiated contract by contract, and the confidentiality commitments described for data partnerships are unusually specific. It does mean nothing can be assessed before a sales conversation, which rules the company out for anyone hoping to evaluate it self-service.\u003c\/p\u003e\n\u003cp\u003eThe symmetry is worth noting. micro1 is one of the few AI companies whose offer is genuinely two-sided: enterprises buy expertise, and lawyers, physicians, analysts, linguists, engineers and cinematographers are paid for supplying it. For a qualified domain expert, that side of the platform is open, free to join and immediately concrete.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\u003ca class=\"btn btn-primary\" href=\"https:\/\/www.micro1.ai\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Visit micro1\u003c\/a\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003c\/div\u003e","brand":"micro1, Inc.","offers":[{"title":"Default Title","offer_id":58113282244939,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1038\/0905\/7099\/files\/official-micro1-by-guidaio_03390b10-0d00-45d6-829f-819acff376f1.png?v=1786541866","url":"https:\/\/guidaio.com\/products\/micro1","provider":"Guidaio","version":"1.0","type":"link"}