{"id":1734,"date":"2026-01-24T22:12:13","date_gmt":"2026-01-24T22:12:13","guid":{"rendered":"https:\/\/suprmind.ai\/hub\/?page_id=1734"},"modified":"2026-07-28T04:43:47","modified_gmt":"2026-07-28T04:43:47","slug":"about-suprmind","status":"publish","type":"page","link":"https:\/\/suprmind.ai\/hub\/about-suprmind\/","title":{"rendered":"About Suprmind"},"content":{"rendered":"<div class=\"sm-abt\" style=\"padding-top: 60px;\">\n<style>\n.sm-abt{<br \/>\n  --b-line: var(--border-subtle, #27272a);<br \/>\n  --b-muted: var(--text-secondary, #9ca3af);<br \/>\n  --b-link: #a78bfa;<br \/>\n  --b-accent: #8b5cf6;<br \/>\n  font-family: 'Satoshi', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif;<br \/>\n}<br \/>\n.sm-abt a{ color: var(--b-link); }<\/p>\n<p>.b-sec{ padding: 88px 48px; }<br \/>\n.b-read{ max-width: 800px; margin: 0 auto; }<br \/>\n.b-wide{ max-width: 1040px; margin: 0 auto; }<br \/>\n.b-center{ text-align: center; }<\/p>\n<p>.b-prose{ font-size: 19px; line-height: 1.8; }<br \/>\n.b-prose p{ margin: 0 0 24px 0; }<br \/>\n.b-prose p:last-child{ margin-bottom: 0; }<br \/>\n.b-prose strong{ color: #fafafa; }<\/p>\n<p>.b-lede{ font-size: 19px; line-height: 1.75; color: var(--b-muted); }<\/p>\n<p>.b-pull{<br \/>\n  border-left: 2px solid var(--b-accent);<br \/>\n  padding: 6px 0 6px 28px;<br \/>\n  margin: 40px 0;<br \/>\n  font-size: 21px;<br \/>\n  line-height: 1.65;<br \/>\n}<\/p>\n<p>.b-block{<br \/>\n  border: 1px solid var(--b-line);<br \/>\n  border-radius: 12px;<br \/>\n  padding: 36px;<br \/>\n  margin: 40px 0;<br \/>\n}<\/p>\n<p>.b-list{ list-style: none; padding: 0; margin: 32px 0 0 0; }<br \/>\n.b-list li{<br \/>\n  font-size: 18px; line-height: 1.7; padding: 20px 0;<br \/>\n  border-bottom: 1px solid var(--b-line);<br \/>\n}<br \/>\n.b-list li:last-child{ border-bottom: none; }<br \/>\n.b-list strong{ color: #fafafa; }<\/p>\n<p>.b-layer{ border-left: 2px solid var(--b-line); padding-left: 26px; margin-bottom: 32px; }<br \/>\n.b-layer:last-child{ margin-bottom: 0; }<br \/>\n.b-layer h3{ font-size: 19px; margin: 0 0 10px 0; font-weight: 600; }<br \/>\n.b-layer p{ font-size: 18px; line-height: 1.7; color: var(--b-muted); margin: 0; }<br \/>\n.b-layer p + p{ margin-top: 12px; }<\/p>\n<p>.b-row{ display: flex; flex-wrap: wrap; gap: 16px; }<br \/>\n.b-row > *{ box-sizing: border-box; }<br \/>\n.b-next{<br \/>\n  flex: 1 1 300px; display: block; padding: 24px;<br \/>\n  border: 1px solid var(--b-line); border-radius: 12px;<br \/>\n  text-decoration: none; min-height: 44px;<br \/>\n}<br \/>\n.b-next span{ display: block; font-size: 18px; font-weight: 600; color: #fafafa; margin-bottom: 6px; }<br \/>\n.b-next em{ display: block; font-size: 16px; line-height: 1.6; color: var(--b-muted); font-style: normal; }<\/p>\n<p>@media (max-width: 1024px){ .b-sec{ padding: 64px 32px; } }<br \/>\n@media (max-width: 768px){<br \/>\n  .b-sec{ padding: 52px 20px; }<br \/>\n  .b-prose, .b-lede{ font-size: 18px; }<br \/>\n  .b-pull{ font-size: 19px; padding-left: 20px; }<br \/>\n  .b-block{ padding: 26px; }<br \/>\n}<br \/>\n@media (max-width: 375px){ .b-sec{ padding: 44px 16px; } }<br \/>\n<\/style>\n<p><!-- ============ HERO ============ --><\/p>\n<section class=\"hero\">\n<div class=\"hero-content\">\n<div class=\"hero-label\">About Suprmind<\/div>\n<h1>The Multi-Model AI <br \/>Decision Intelligence <br \/> Chat Platform<\/h1>\n<p class=\"hero-subtitle\" style=\"padding-top: 30px;\">\n      Built for professionals who cannot afford for their AI to be wrong.\n    <\/p>\n<p style=\"margin: 28px auto 0; max-width: 800px; font-size: 19px; line-height: 1.75; color: #9ca3af; text-align: center;\">\n      Suprmind orchestrates five frontier AI models, GPT, Claude, Gemini, Grok and Perplexity, in a single conversation. They read each other&#8217;s responses, argue, challenge assumptions, call out fabrications, and build on each other&#8217;s reasoning. What you get is a pressure-tested answer that no single model could produce on its own.<br>\nFor a detailed technical description of our features and solutions, please visit our <a href=\"\/hub\/features\/\">Features<\/a> page.\n    <\/p>\n<p style=\"margin: 28px auto 0; max-width: 640px; font-size: 20px; line-height: 1.6; text-align: center;\">\n      You ask hard questions. <br \/>\n      Five frontier AI models argue. <br \/>\n      You win breakthrough answers.\n    <\/p>\n<\/p><\/div>\n<\/section>\n\n<p><!-- ============ THE PREMISE ============ --><\/p>\n<section class=\"b-sec\">\n<div class=\"b-read\">\n<div class=\"section-label\">The premise<\/div>\n<h2>A single AI is a single point of failure<\/h2>\n<div class=\"b-prose\" style=\"margin-top: 32px;\">\n<p>\n        Frontier models are extraordinary and also structurally unreliable in one specific way: they are trained to be helpful, and being helpful reads as being confident. A model that does not know will still answer. A model that is wrong sounds identical to a model that is right. And when you push back, most models will accommodate you rather than hold a correct position.\n      <\/p>\n<p>\n        <strong>Single AIs hallucinate confidently and smooth over conflict to make you happy.<\/strong> That is a tolerable trait when you are drafting an email. It is a liability when the output feeds an investment committee, a client deliverable, a regulatory filing or a board deck.\n      <\/p>\n<p>\n        The professional response to this has been to check AI against AI. Ask the same question in three tabs, read three answers, reconcile them by hand. The instinct is correct. The execution is expensive: an hour of your time per question, four subscriptions running in parallel, and no shared context, because none of those models can see what the others said.\n      <\/p>\n<\/p><\/div>\n<div class=\"b-pull\">\n      Cross-examination is the right method. Doing it manually across browser tabs is the wrong tool.\n    <\/div>\n<\/p><\/div>\n<\/section>\n<section style=\"padding-top: 50px;\">\n<div style=\"max-width: 900px; margin: 0 auto;\">\n<h2 style=\"text-align:center; max-width:700px; margin:0 auto 24px; font-size:2rem; line-height:1.3;\">See how five frontier AI models work together on our platform<\/h2>\n<p style=\"text-align:center; font-size: 17px;\">The interactive 90-second demo runs right here on the page &#8211; scroll down to pause, scroll back up to resume. Hit the orange stop button to end it and explore everything that happened across chat, Scribe, Adjutant, and Master Document.<\/p>\n<\/p><\/div>\n<\/section>\n\n<style>@media (max-width: 768px){#suprmind-demo{margin-left:calc(-1 * var(--suprmind-demo-mobile-bleed, 8px))!important;margin-right:calc(-1 * var(--suprmind-demo-mobile-bleed, 8px))!important;width:calc(100% + var(--suprmind-demo-mobile-bleed, 8px) * 2)!important;}}<\/style><div id=\"suprmind-demo\" style=\"width:100%; overflow:hidden;\"><\/div>\n\n\n<p><!-- ============ WHAT WE ARE ============ --><\/p>\n<section class=\"b-sec\">\n<div class=\"b-read\">\n<div class=\"section-label\">What we are<\/div>\n<h2>Five models, one thread, in structured collaboration<\/h2>\n<div class=\"b-prose\" style=\"margin-top: 32px;\">\n<p>\n        Suprmind puts all five frontier models into the same conversation with shared context. Each model reads every response that came before it. The second model is not answering your question, it is answering your question plus the first model&#8217;s attempt at it. By the fifth response the analysis has been through five rounds of reading, correction and elaboration, without you retyping anything.\n      <\/p>\n<p>\n        That is <strong>compounding intelligence<\/strong>, and it is the mechanism the whole product is built on.\n      <\/p>\n<p>\n        You control how the collaboration runs. <strong>Sequential<\/strong> chains the models so each builds on the last. <strong>Super Mind<\/strong> runs all five in parallel and synthesizes one unified answer with divergence mapped. <strong>Debate<\/strong> assigns opposing positions and hands the closing judgment to a moderator that never argued. <strong>Red Team<\/strong> sends all five at your plan across six attack vectors and returns a risk dossier. <strong>First Principles<\/strong> forces each model to name its assumptions and rebuild from the ground up. <strong>Research Symphony<\/strong> runs a five-stage research pipeline that produces fully cited reports.\n      <\/p>\n<p>\n        Switch modes mid-conversation and every model carries full context across the switch. Red Team the plan, Debate the top three risks, run Sequential on the revision, export the executive brief. One thread.\n      <\/p>\n<\/p><\/div>\n<div class=\"b-block\">\n<p style=\"font-size: 21px; line-height: 1.6; margin: 0 0 16px 0;\">\n        <strong>Disagreement is the feature.<\/strong>\n      <\/p>\n<p style=\"font-size: 18px; line-height: 1.75; color: #9ca3af; margin: 0;\">\n        Most AI products are tuned to produce one smooth, confident answer. We do the opposite on purpose. When five models converge, your confidence is earned rather than assumed. When they split, they have located the precise assumption, tradeoff or missing fact that decides the outcome. We surface that instead of averaging it away, because it is the most valuable thing in the session.\n      <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- ============ DECISION INTELLIGENCE ============ --><\/p>\n<section class=\"b-sec\">\n<div class=\"b-read\">\n<div class=\"section-label\">What decision intelligence means here<\/div>\n<h2>The conversation is the input. The brief is the output.<\/h2>\n<div class=\"b-prose\" style=\"margin-top: 32px;\">\n<p>\n        &#8220;Decision intelligence&#8221; is a term the industry uses loosely, so here is exactly what it means on this platform. It is a layer that sits on top of the conversation and does three specific jobs.\n      <\/p>\n<\/p><\/div>\n<div style=\"margin-top: 40px;\">\n<div class=\"b-layer\">\n<h3>It scores the disagreement<\/h3>\n<p>The Disagreement and Correction Index tracks where the models diverged or corrected each other, turn by turn, and shows it inline the moment it happens. You are not left to notice the contradiction yourself in paragraph nine.<\/p>\n<\/p><\/div>\n<div class=\"b-layer\">\n<h3>It settles the disagreement<\/h3>\n<p>The Adjudicator takes a specific divergence and produces a structured decision brief: context analysis, a recommendation, and a confidence assessment. Not an averaged answer. An argued one, with the reasoning on the record.<\/p>\n<\/p><\/div>\n<div class=\"b-layer\">\n<h3>It validates the decision before you commit<\/h3>\n<p>The Decision Validation Engine runs a six-stage pipeline on a decision that cannot be walked back. Intake, clarification, a red team pass with a formal risk register, a structured debate with a contention map, and a synthesis stage that issues GO, NO-GO or GO WITH CONDITIONS with a full dossier behind it.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"b-prose\" style=\"margin-top: 40px;\">\n<p>\n        The output of a Suprmind session is not a chat log. It is a document. Scribe captures decisions, constraints, risks and action items as the conversation runs, and the Master Document Generator turns any thread into a board-ready deliverable from 25+ templates, exported to PDF or Word with charts embedded.\n      <\/p>\n<p>\n        Suprmind does not decide for you. It makes sure that when you decide, the counter-argument is already in front of you rather than waiting to be raised by somebody in the room.\n      <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- ============ HALLUCINATION ============ --><\/p>\n<section class=\"b-sec\">\n<div class=\"b-read\">\n<div class=\"section-label\">On fabrication<\/div>\n<h2>Two layers against hallucination<\/h2>\n<div class=\"b-prose\" style=\"margin-top: 32px;\">\n<p>\n        Our hallucination mitigation system is called the <strong>Suprmind AI Anti-Hallucinogen<\/strong>. It has two layers, and we are precise about which one is live.\n      <\/p>\n<p>\n        <strong>The passive layer is live for everyone.<\/strong> It is the conversation itself. Five models with different training data, different retrieval systems and different blind spots share one thread, so when one states something false, another frequently knows better, contradicts it, supplies the correct fact and rebuilds the answer from there. No separate verification pass required. This is the most reliable practical defense available today, and it works because the models are genuinely different from each other.\n      <\/p>\n<p>\n        <strong>True North is the active layer.<\/strong> It exists for the two cases the passive layer cannot handle: quiet misses, where a false claim enters the thread and nobody challenges it, and convergent hallucinations, where several or all five models agree on the same externally false fact. True North inspects completed responses, selects the claims worth checking, gathers outside evidence, and hands the judgment to a separate reasoning judge, because no AI should grade its own homework.\n      <\/p>\n<p>\n        True North is currently running in read-only shadow mode on a subset of threads while we measure its precision. It records verdicts. It does not yet change a live conversation. We will publish the numbers when the precision gate ships, not before.\n      <\/p>\n<\/p><\/div>\n<div class=\"b-pull\">\n      Five AIs keep each other honest. True North checks what all five might miss.\n    <\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- ============ WHO IT IS FOR ============ --><\/p>\n<section class=\"b-sec\">\n<div class=\"b-read\">\n<div class=\"section-label\">Who we build for<\/div>\n<h2>Professionals whose work gets examined<\/h2>\n<div class=\"b-prose\" style=\"margin-top: 32px;\">\n<p>\n        Not people who want AI to write faster. People whose analysis is reviewed by a partner, a committee, a client or a regulator, and who carry the consequence when it does not hold up. They work in knowledge-intensive fields, they already use AI heavily, and most of them are paying for several AI subscriptions right now.\n      <\/p>\n<\/p><\/div>\n<ul class=\"b-list\">\n<li>\n        <strong>Strategy consultants and advisors.<\/strong> Deliverables that survive client scrutiny. Run the M&#038;A pre-mortem before the partner meeting and walk in with the objections already surfaced and answered.\n      <\/li>\n<li>\n        <strong>Investment and research teams.<\/strong> Defensible IC memos. Build the strongest case for and against, with the counter-arguments in the document rather than waiting to be raised across the table.\n      <\/li>\n<li>\n        <strong>Founders and operators.<\/strong> Decisions made without a team large enough to stress-test them. Defend a pricing experiment by having the models argue retention against elasticity against benchmarks until the number holds or does not.\n      <\/li>\n<li>\n        <strong>Legal and compliance.<\/strong> Contract clauses cross-referenced by five readers rather than one. Where the models read a clause differently, that is the clause to escalate. A fabricated citation is a career event, not an inconvenience.\n      <\/li>\n<li>\n        <strong>Researchers and analysts.<\/strong> Literature reviews with cross-validation, and hypothesis testing where the models argue opposing interpretations of the same data. Coverage broad enough that you are not inheriting one model&#8217;s training gaps as your conclusions.\n      <\/li>\n<li>\n        <strong>Advanced AI users.<\/strong> People already running four or five subscriptions and doing the reconciliation by hand, who would rather have the platform do it in one thread with shared context.\n      <\/li>\n<\/ul>\n<div class=\"b-prose\" style=\"margin-top: 32px;\">\n<p>\n        The common thread is not the industry. It is that being wrong is expensive and nobody else is checking the work.\n      <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- ============ TRANSPARENT BY CHOICE ============ --><\/p>\n<section class=\"b-sec\">\n<div class=\"b-read\">\n<div class=\"section-label\">What we stand for<\/div>\n<h2>Transparent by choice<\/h2>\n<div class=\"b-prose\" style=\"margin-top: 32px;\">\n<p>\n        There is a line we use internally that explains our position in this category better than any feature list.\n      <\/p>\n<\/p><\/div>\n<div class=\"b-pull\">\n      AI aggregators are transparent by necessity. AI orchestrators are opaque by default. Suprmind is transparent by choice.\n    <\/div>\n<div class=\"b-prose\">\n<p>\n        An aggregator has to show you which model answered, because showing you the models <em>is<\/em> the product. An orchestrator has every incentive to hide the machinery, because the routing logic looks like the moat. Most of them do exactly that: you send a prompt, something happens, an answer comes back, and you have no idea which model produced it or why.\n      <\/p>\n<p>\n        We show the machine. You see which model said what, in which order. You see the exact model versions running in every team, including the fast ones. The Run Inspector gives you a per-call audit of what actually ran. When the models disagree, we show you the disagreement rather than resolving it quietly on your behalf. We publish our own research on how often frontier models fabricate and how often they diverge from each other, using real production data, including the results that are inconvenient for us.\n      <\/p>\n<p>\n        The reasoning is simple. Our users are people who verify things for a living. A product that asks them to trust a black box is asking the wrong audience.\n      <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- ============ WHAT WE DO NOT CLAIM ============ --><\/p>\n<section class=\"b-sec\">\n<div class=\"b-read\">\n<div class=\"section-label\">Honest boundaries<\/div>\n<h2>What Suprmind is not<\/h2>\n<ul class=\"b-list\">\n<li>\n        <strong>Not an autonomous agent.<\/strong> It does not act on your behalf, send anything, move anything or decide anything. Human-directed orchestration. You assign the task.\n      <\/li>\n<li>\n        <strong>Not an aggregator.<\/strong> Aggregators give you access to multiple models, generally one at a time. Suprmind puts them in the same conversation with shared context, reading each other. Different product category, and the entire reason it exists.\n      <\/li>\n<li>\n        <strong>Not a guarantee of accuracy.<\/strong> Models still get things wrong, and five models can occasionally be wrong together. We reduce hallucination risk and make disagreement visible. Nobody honest sells more than that.\n      <\/li>\n<li>\n        <strong>Not a substitute for expertise.<\/strong> It makes a strong analyst faster and better armed. It does not make someone an analyst.\n      <\/li>\n<li>\n        <strong>Not built for casual work.<\/strong> For drafting social posts, a single chatbot is cheaper and entirely sufficient. This is for the questions where being wrong costs you something real.\n      <\/li>\n<\/ul><\/div>\n<\/section>\n<p><!-- ============ THE STACK MATH ============ --><\/p>\n<section class=\"b-sec\">\n<div class=\"b-read\">\n<div class=\"section-label\">What it replaces<\/div>\n<h2>You are probably already paying for all five<\/h2>\n<div class=\"b-prose\" style=\"margin-top: 32px;\">\n<p>\n        A typical power user runs ChatGPT Plus, Claude Pro, Perplexity Pro, Gemini Advanced and X Premium in parallel. That is roughly $95 to $100 a month for five accounts that cannot see each other, plus the hour a week you spend acting as the router between them.\n      <\/p>\n<p>\n        Suprmind runs from $19 to $195 a month depending on usage and which advanced modes you need, with a 7-day free trial that does not ask for a card. Teams and larger organizations are sized during a discovery call rather than picked off a price list, because token consumption varies enormously across workflows and we would rather get it right than guess.\n      <\/p>\n<p>\n        <a href=\"https:\/\/suprmind.ai\/hub\/pricing\/\">See the plans and what sits on each one<\/a>.\n      <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- ============ WHO BUILT IT ============ --><\/p>\n<section class=\"b-sec\">\n<div class=\"b-read\">\n<div class=\"section-label\">Who we are<\/div>\n<h2>An independent team in Belgrade<\/h2>\n<div class=\"b-prose\" style=\"margin-top: 32px;\">\n<p>\n        Suprmind is built by a small independent team in Belgrade, Serbia, led by founder Radomir Basta. We are not venture funded. The product is paid for by the people who use it, which keeps the incentives uncomplicated.\n      <\/p>\n<p>\n        We run our own research program on top of the platform. The Multi-Model Divergence Index measures how often frontier models actually disagree in production, using real conversation data rather than benchmarks. Our hallucination benchmarks track fabrication rates across the frontier models as new versions ship. Both are published in full.\n      <\/p>\n<p>\n        More on <a href=\"https:\/\/suprmind.ai\/hub\/about-us\/\">the company<\/a> and <a href=\"https:\/\/suprmind.ai\/hub\/about-radomir-basta\/\">the founder<\/a>.\n      <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- ============ NEXT STEPS ============ --><\/p>\n<section class=\"b-sec\">\n<div class=\"b-wide\">\n<div class=\"section-label b-center\">Go deeper<\/div>\n<h2 class=\"b-center\" style=\"margin-bottom: 20px;\">Where to go from here<\/h2>\n<p class=\"b-lede b-center\" style=\"max-width: 680px; margin: 0 auto 48px;\">\n      This page covered what we are. The detail is all documented.\n    <\/p>\n<div class=\"b-row\">\n      <a class=\"b-next\" href=\"https:\/\/suprmind.ai\/hub\/features\/\"><br \/>\n        <span>Full feature reference<\/span><br \/>\n        <em>Every capability, mode and control, documented end to end.<\/em><br \/>\n      <\/a><br \/>\n      <a class=\"b-next\" href=\"https:\/\/suprmind.ai\/hub\/platform\/\"><br \/>\n        <span>How the platform works<\/span><br \/>\n        <em>Orchestration, context handling and architecture.<\/em><br \/>\n      <\/a><br \/>\n      <a class=\"b-next\" href=\"https:\/\/suprmind.ai\/hub\/use-cases\/\"><br \/>\n        <span>Use cases by discipline<\/span><br \/>\n        <em>Due diligence, investment, legal, market research, risk, strategy.<\/em><br \/>\n      <\/a><br \/>\n      <a class=\"b-next\" href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/\"><br \/>\n        <span>Hallucination benchmarks<\/span><br \/>\n        <em>Our published research on frontier model fabrication rates.<\/em><br \/>\n      <\/a><br \/>\n      <a class=\"b-next\" href=\"https:\/\/suprmind.ai\/hub\/multi-model-ai-divergence-index\/\"><br \/>\n        <span>Multi-Model Divergence Index<\/span><br \/>\n        <em>How often the five models actually disagree, from production data.<\/em><br \/>\n      <\/a><br \/>\n      <a class=\"b-next\" href=\"https:\/\/suprmind.ai\/hub\/comparison\/\"><br \/>\n        <span>Compared with alternatives<\/span><br \/>\n        <em>Head to head with orchestrators and aggregators.<\/em><br \/>\n      <\/a>\n    <\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- ============ CTA ============ --><\/p>\n<section class=\"b-sec\" style=\"padding-top: 96px; padding-bottom: 112px;\">\n<div class=\"b-read b-center\">\n<h2 style=\"font-size: 34px; margin-bottom: 24px; line-height: 1.25;\">\n      Bring the decision you are least sure about<br \/>\n    <\/h2>\n<p class=\"b-lede\" style=\"margin-bottom: 40px;\">\n      Seven days free, no credit card. If all five agree with your instinct, you have your answer. If they do not, you found out before it reached your strategy, report or deal.\n    <\/p>\n<div class=\"hero-cta-group\">\n      <a href=\"https:\/\/suprmind.ai\/signup\/spark\" class=\"btn-primary\">Start Your Free Trial<\/a><br \/>\n      <a href=\"https:\/\/suprmind.ai\/hub\/pricing\/\" class=\"btn-secondary\">See Pricing<\/a>\n    <\/div>\n<\/p><\/div>\n<\/section>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>About Suprmind The Multi-Model AI Decision Intelligence Chat Platform Built for professionals who cannot afford for their AI to be wrong. Suprmind orchestrates five frontier AI models, GPT, Claude, Gemini, Grok and Perplexity, in a single conversation. They read each other&#8217;s responses, argue, challenge assumptions, call out fabrications, and build on each other&#8217;s reasoning. 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