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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>ModelDNA — AI Model Provenance</title>
<style>
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  /* HOW IT WORKS */
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  .footer-copy { color:var(--text-dim); font-size:0.78rem; margin-top:0.75rem; }
</style>
</head>
<body>

<!-- NAV -->
<nav>
  <div class="logo">
    modeldna.ai
    <span>a RadicalNotion product</span>
  </div>
  <div style="display:flex; align-items:center; flex-wrap:wrap;">
    <a href="#how">How It Works</a>
    <a href="#pricing">Pricing</a>
    <a href="#faq">FAQ</a>
    <a href="https://huggingface.co/spaces/RadicalNotionAI/modeldna" target="_blank" class="nav-cta">Scan a Model</a>
  </div>
</nav>

<!-- HERO -->
<div class="hero">
  <div class="badge mono">powered by ModelAtlas · 2,200+ models indexed</div>
  <h1>The <em>DNA test</em><br>for AI models.</h1>
  <p class="hero-sub">Identify model provenance, detect derivative lineage, and audit architecture before you deploy. Scan any HuggingFace model in seconds.</p>
  <p class="honest-line">No backdoor detection. No security claims. Just architectural truth.</p>
  <div class="cta-group">
    <a href="https://huggingface.co/spaces/RadicalNotionAI/modeldna" target="_blank" class="btn-primary">Scan a Model Free</a>
    <a href="#how" class="btn-secondary">See How It Works</a>
  </div>
  <p class="hero-note">Stage 1 architecture screening is free and unlimited. No credit card required.</p>
</div>

<!-- STATS -->
<div class="stats">
  <div class="stat"><div class="stat-num mono">2,450+</div><div class="stat-label">Models in reference corpus</div></div>
  <div class="stat"><div class="stat-num mono">27</div><div class="stat-label">Base architecture families</div></div>
  <div class="stat"><div class="stat-num mono">&lt;3s</div><div class="stat-label">Stage 1 screening latency</div></div>
  <div class="stat"><div class="stat-num mono">60+</div><div class="stat-label">Labs tracked</div></div>
</div>

<!-- LAB COVERAGE GRID -->
<div style="background:var(--bg2);border-top:1px solid var(--border);border-bottom:1px solid var(--border);padding:2.5rem 2rem;">
  <div style="max-width:960px;margin:0 auto;">
    <div style="text-align:center;color:var(--text-dim);font-size:0.78rem;text-transform:uppercase;letter-spacing:0.1em;margin-bottom:1.5rem;">Labs covered in the ModelAtlas reference corpus</div>
    <div style="display:flex;flex-wrap:wrap;gap:0.6rem;justify-content:center;">
      <span class="lab-tag">Meta · 661 models</span>
      <span class="lab-tag">Qwen · 227 models</span>
      <span class="lab-tag">Mistral · 212 models</span>
      <span class="lab-tag">Google · 76 models</span>
      <span class="lab-tag">Microsoft · 41 models</span>
      <span class="lab-tag">DeepSeek · 29 models</span>
      <span class="lab-tag">Zhipu AI · 23 models</span>
      <span class="lab-tag">IBM · 19 models</span>
      <span class="lab-tag">EleutherAI · 18 models</span>
      <span class="lab-tag">OpenAI · 16 models</span>
      <span class="lab-tag">Tencent · 12 models</span>
      <span class="lab-tag">NVIDIA · 11 models</span>
      <span class="lab-tag">MiniMax · 8 models</span>
      <span class="lab-tag">Cohere · 8 models</span>
      <span class="lab-tag">TII UAE · 9 models</span>
      <span class="lab-tag">StepFun · 7 models</span>
      <span class="lab-tag">AntGroup / inclusionAI · Bailing, Ling, LLaDA2</span>
      <span class="lab-tag">Moonshot · Kimi, Kimi-Linear, K2</span>
      <span class="lab-tag">ByteDance Seed · Seed-OSS</span>
      <span class="lab-tag">Baidu · ERNIE 4.5, Qianfan</span>
      <span class="lab-tag">Xiaomi · MiMo V2.x</span>
      <span class="lab-tag">BAAI · Emu3, Emu3.5</span>
      <span class="lab-tag">OpenBMB · MiniCPM</span>
      <span class="lab-tag">InternLM · S1</span>
      <span class="lab-tag">FreedomIntelligence · Pangu-R</span>
      <span class="lab-tag">+ 25 more labs</span>
    </div>
  </div>
</div>

<!-- VALUE PROPS -->
<section>
  <div class="section-label">Why ModelDNA</div>
  <h2>More than a similarity score.</h2>
  <div class="props">
    <div class="prop">
      <div class="prop-icon">🧬</div>
      <h3>Deep Derivative Detection</h3>
      <p>We compare against 2,200+ verified architectures across 545 organizations. Identifies fine-tunes, distillations, and repackaged models that config checks miss.</p>
    </div>
    <div class="prop">
      <div class="prop-icon">⚡</div>
      <h3>Two-Stage Analysis</h3>
      <p>Stage 1 screens architecture configs instantly (free, unlimited). Stage 2 computes five weight-level signals for definitive lineage determination.</p>
    </div>
    <div class="prop">
      <div class="prop-icon">📋</div>
      <h3>Audit-Ready Output</h3>
      <p>Pro plans export SBOM-compatible reports and PDF audit trails with lineage origin, technique provenance, and compliance verdict — ready for governance review.</p>
    </div>
  </div>
</section>

<!-- TERMINAL DEMO -->
<section>
  <div class="section-label">Live Example</div>
  <h2>See the analysis in action.</h2>
  <p style="color:var(--text-dim);font-size:0.85rem;margin-bottom:1.5rem;">Stage 1 output is live today. Stage 2 weight analysis shown below is a roadmap preview.</p>
  <div class="terminal">
    <div class="terminal-bar"><div class="dot dot-r"></div><div class="dot dot-y"></div><div class="dot dot-g"></div></div>
    <pre><span class="t-cmd">$ modeldna scan poolside/Laguna-XS.2</span>

<span class="t-dim">[INIT]  Connecting to ModelAtlas reference database (2,241 models)</span>
<span class="t-dim">[SCAN]  Fetching config.json...</span>

<span class="t-pass">── STAGE 1: Architectural Screening ──────────────────────────</span>
<span class="t-key">  Architecture:     </span><span class="t-val">LagunaForCausalLM</span>
<span class="t-key">  Hidden size:      </span><span class="t-val">2048</span>
<span class="t-key">  Vocab size:       </span><span class="t-val">100,352</span>
<span class="t-key">  Lineage family:   </span><span class="t-val">GQA+SWA Hybrid</span>
<span class="t-key">  Stage 1 verdict:  </span><span class="t-val">SIMILAR DESIGN → proceed to Stage 2</span>

<span class="t-pass">── STAGE 2: Weight-Level DNA Fingerprint ─────────────────────</span>
<span class="t-key">  EAS  Embedding anchor similarity: </span><span class="t-val">0.12</span>  <span class="t-dim">▪▪░░░░░░░░  low</span>
<span class="t-key">  END  Norm distribution:           </span><span class="t-val">0.31</span>  <span class="t-dim">▪▪▪░░░░░░░  low</span>
<span class="t-key">  NLF  Norm layer fingerprint:       </span><span class="t-val">0.28</span>  <span class="t-dim">▪▪░░░░░░░░  low</span>
<span class="t-key">  LEP  Layer energy profile:         </span><span class="t-val">0.41</span>  <span class="t-dim">▪▪▪▪░░░░░░  moderate</span>
<span class="t-key">  WVC  Weight cosine:                </span><span class="t-val">0.18</span>  <span class="t-dim">▪░░░░░░░░░  low</span>

<span class="t-verdict">── VERDICT ────────────────────────────────────────────────────</span>
<span class="t-key">  Composite DNA Score:  </span><span class="t-verdict">0.26 / 1.00</span>
<span class="t-key">  Classification:       </span><span class="t-verdict">ARCHITECTURAL INSPIRATION (not weight-derived)</span>
<span class="t-key">  Lineage:              </span><span class="t-val">GQA+SWA Hybrid — adopted pattern from StepFun (Feb 2026)</span>
<span class="t-key">  Weights:              </span><span class="t-val">INDEPENDENT — different vocab rules out tokenizer inheritance</span>

<span class="t-pass">  ✓ No weight inheritance detected</span>
<span class="t-dim">Report saved: ./modeldna-report-laguna-xs2.json</span>
<span class="t-dim">Powered by ModelAtlas · modeldna.ai · a RadicalNotion product</span></pre>
  </div>
</section>

<!-- HOW IT WORKS -->
<section id="how">
  <div class="section-label">Process</div>
  <h2>Two stages. One verdict.</h2>
  <div class="steps">
    <div class="step">
      <div class="step-num">1</div>
      <h3>Architecture Screening</h3>
      <p>We parse the model config to identify architecture family, vocab, and technique signatures. Resolves the majority of cases instantly.</p>
      <span class="step-tag">FREE · UNLIMITED · &lt;3s</span>
    </div>
    <div class="step">
      <div class="step-num">2</div>
      <h3>Weight-Level Analysis <span style="font-size:0.7rem;background:rgba(101,212,35,0.15);border:1px solid rgba(101,212,35,0.3);color:var(--accent);padding:0.1rem 0.5rem;border-radius:4px;vertical-align:middle;font-weight:600;">ROADMAP</span></h3>
      <p>Five statistical signals (EAS, END, NLF, LEP, WVC) will analyze weight distributions to detect derivative relationships configs can't reveal.</p>
      <span class="step-tag">STAGE 2 · Coming soon</span>
    </div>
    <div class="step">
      <div class="step-num">3</div>
      <h3>Enriched Verdict</h3>
      <p>Composite DNA score, lineage classification, and optional ModelAtlas enrichment — VRAM estimates, ARS scores, and technique origin chain.</p>
      <span class="step-tag">PRO · JSON / PDF / SBOM</span>
    </div>
  </div>
</section>

<!-- PRICING -->
<section id="pricing">
  <div class="section-label">Pricing</div>
  <h2>Developer-priced. Enterprise-capable.</h2>
  <p style="color:var(--text-dim); font-size:0.9rem; margin-top:0.5rem;">The ModelAtlas knowledge engine runs on RadicalNotion infrastructure. You get enterprise-grade depth at a fraction of incumbent pricing.</p>
  <p style="color:var(--text-dim);font-size:0.82rem;margin-top:0.75rem;">All scanning is Stage 1 — architecture screening from config.json only. No weight download required. <span style="color:var(--accent);">Stage 2 weight-level analysis is on the roadmap.</span></p>
  <div class="plans" style="margin-top:2rem;grid-template-columns:repeat(auto-fit,minmax(260px,1fr));">
    <div class="plan">
      <div class="plan-name">Free</div>
      <div class="plan-price">$0<span>/mo</span></div>
      <p style="font-size:0.78rem;color:var(--text-dim);margin-bottom:0.75rem;">For anyone using open weights on HuggingFace.</p>
      <ul>
        <li>Unlimited Stage 1 scanning — all public HF models</li>
        <li>Architecture family identification</li>
        <li>Claim validation — flags unverifiable assertions</li>
        <li>Derivative discovery — find models sharing your base</li>
        <li>JSON output</li>
      </ul>
      <a href="https://huggingface.co/spaces/RadicalNotionAI/modeldna" target="_blank" class="plan-btn">Start Scanning</a>
    </div>
    <div class="plan featured">
      <div class="plan-badge">For AI Infrastructure Engineers</div>
      <div class="plan-name">Pro</div>
      <div class="plan-price">$199<span>/mo</span></div>
      <p style="font-size:0.78rem;color:var(--text-dim);margin-bottom:0.75rem;">For MLOps and AI platform teams vetting models at scale.</p>
      <ul>
        <li>Everything in Free</li>
        <li>Full API access — bulk scanning for pipelines</li>
        <li>ModelAtlas enrichment — VRAM, ARS, technique chain</li>
        <li>Derivative alerts — notified when copies appear</li>
        <li>PDF + SBOM audit export for compliance review</li>
        <li>5 team seats + priority support</li>
      </ul>
      <a href="#" class="plan-btn">Get Pro</a>
    </div>
    <div class="plan">
      <div class="plan-name">Custom</div>
      <div class="plan-price" style="font-size:1.4rem;">Contact Us</div>
      <p style="font-size:0.78rem;color:var(--text-dim);margin-bottom:0.75rem;">For open weight hosters, compliance teams, and enterprises.</p>
      <ul>
        <li>Everything in Pro</li>
        <li>Private model ingestion + on-premise deployment</li>
        <li>Custom ModelAtlas reference databases</li>
        <li>Automated moderation for model hosting platforms</li>
        <li>SLA guarantees + dedicated engineering</li>
      </ul>
      <a href="mailto:tim@radicalnotion.ai" class="plan-btn">Contact Sales</a>
    </div>
  </div>
</section>

<!-- FAQ -->
<section id="faq">
  <div class="section-label">Honest Answers</div>
  <h2>What modeldna does — and doesn't.</h2>
  <div class="faqs">
    <div class="faq">
      <h3>Does this detect backdoors or malware?</h3>
      <p>No. modeldna analyzes statistical fingerprints for provenance and derivative lineage. We do not perform security vulnerability scanning or malware detection. These are different problems requiring different tools.</p>
    </div>
    <div class="faq">
      <h3>Is this cryptographic proof of ownership?</h3>
      <p>No. Our results are based on statistical fingerprinting — high-confidence evidence of lineage, not cryptographic signatures. Results are suitable for compliance review and audit documentation but not legal disputes over IP ownership.</p>
    </div>
    <div class="faq">
      <h3>How does the ModelAtlas reference database work?</h3>
      <p>ModelAtlas continuously scans and indexes public model releases, extracting architecture signatures, technique taxonomies, and lineage relationships. The reference database is private and updated weekly. The CLI queries it via API — you never see the raw database.</p>
    </div>
    <div class="faq">
      <h3>Can I scan quantized models (GGUF, AWQ, FP8)?</h3>
      <p>Stage 1 works on any model with a config.json. Stage 2 weight analysis requires dequantization to BF16 first — this is handled automatically for supported formats. GGUF Q4/Q8 and safetensors FP8 are supported; AWQ/GPTQ support is in development.</p>
    </div>
  </div>
</section>

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