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    <!-- Header -->
    <div class="header">
      <h1>Perciqa</h1>
      <div class="tagline">Build AI you own.</div>
      <p>Perciqa is a Canadian AI company building enterprise models and tools that organisations can deploy, audit, and fully control — on their own infrastructure, on their own terms. Founded in Toronto in 2023. 🇨🇦</p>
      <div class="badges">
        <a href="https://perciqa.com" class="badge" target="_blank" rel="noopener">🌐 perciqa.com</a>
        <a href="https://github.com/perciqa" class="badge" target="_blank" rel="noopener">GitHub</a>
        <a href="https://opensource.org/licenses/Apache-2.0" class="badge" target="_blank" rel="noopener">Apache 2.0</a>
      </div>
    </div>

    <!-- Why we build in the open -->
    <section>
      <h2>Why we build in the open</h2>
      <p>AI shouldn't require handing your data to someone else's infrastructure and hoping for the best. Every model, dataset, and tool we release is designed so you can run it on hardware you control, in a jurisdiction you trust, under a license that doesn't come with strings.</p>
      <p><span class="strong-text">Open weights. Sovereign deployment. Canadian-built.</span></p>
      <p>We believe the future of enterprise AI is <em>owned</em>, not rented — and that starts with releasing everything needed for organisations, governments, and developers to stand up capable AI systems without dependency on foreign cloud APIs.</p>
    </section>

    <!-- What we build -->
    <section>
      <h2>What we build</h2>

      <h3><span class="product-icon">🌌</span> Aurora — Open-Weight Code Intelligence</h3>
      <p>Aurora is our family of code-specialised LLMs, fine-tuned for developers who need models they can deploy, inspect, and fully own.</p>

      <div class="table-wrapper">
        <table>
          <thead>
            <tr><th>Model</th><th>Architecture</th><th>Params</th><th>Active</th><th>Base</th><th>License</th></tr>
          </thead>
          <tbody>
            <tr>
              <td><a href="https://huggingface.co/Perciqa/Aurora-Code-1" target="_blank" rel="noopener">Aurora-Code-1</a></td>
              <td>Sparse MoE</td>
              <td>35B</td>
              <td>3B</td>
              <td>Qwen3.6-35B-A3B</td>
              <td>Apache 2.0</td>
            </tr>
            <tr>
              <td><a href="https://huggingface.co/Perciqa/Aurora-Code-Mini-1" target="_blank" rel="noopener">Aurora-Code-Mini-1</a></td>
              <td>Dense</td>
              <td>12B</td>
              <td>12B</td>
              <td>Gemma 4 12B</td>
              <td>Apache 2.0</td>
            </tr>
          </tbody>
        </table>
      </div>

      <p><span class="strong-text">What Aurora does:</span></p>
      <ul>
        <li><strong>Code generation</strong> — complete programs across Python, TypeScript, Rust, Go, Java, C++, Bash, and more</li>
        <li><strong>Debugging</strong> — root cause analysis with actionable fixes</li>
        <li><strong>Code review</strong> — security, performance, and style findings ranked by severity</li>
        <li><strong>Agentic workflows</strong> — multi-step tool use, repo-level reasoning, and recovery from dead ends</li>
        <li><strong>Hedging</strong> — knows when to say "I'm not sure" instead of hallucinating an answer</li>
      </ul>
      <p>Aurora models are trained on curated, difficulty-stratified instruction data across seven task categories with full generation provenance (latency, temperature, retries, timestamps). Every training record is auditable.</p>

      <div class="blockquote">Northern Lights for your codebase.</div>

      <h3><span class="product-icon">🔭</span> Argus — Agent Reliability Engine</h3>
      <p><a href="https://github.com/perciqa/argus" style="color: var(--accent);" target="_blank" rel="noopener">Argus</a> is our open-source (MIT) agent observability SDK — trajectory tracing, inference FinOps, and eval-in-production for LLM-powered agents.</p>
      <ul>
        <li>Multi-agent trajectory tracing with &lt; 0.8ms overhead</li>
        <li>Hard budget caps and per-task token cost attribution</li>
        <li>Eval-in-production for continuous quality monitoring</li>
        <li>EU AI Act and SOC 2 compliance-ready audit trails</li>
        <li>Auto-instruments OpenAI, Anthropic, LangChain, LlamaIndex, and HuggingFace with zero code changes</li>
      </ul>

      <pre><code>import argus

argus.init(agent_name="my-agent")
# That's it. Every LLM call is now traced.</code></pre>

      <h3><span class="product-icon">🧠</span> Cortex — Decentralised Agent Memory <em style="color: var(--text-muted); font-size: 0.9rem;">(Early Access)</em></h3>
      <p>Perciqa Cortex is a decentralised memory fabric for the agent economy — a network of sovereign nodes where AI agents share signed, scope-controlled memory across organisational trust boundaries.</p>
      <ul>
        <li>Ed25519 cryptographic provenance on every memory article</li>
        <li>Scope controls: <code>private</code>, <code>partner</code>, <code>public</code> — private memories never leave your node</li>
        <li>AMD ROCm + NVIDIA GPU-accelerated semantic indexing</li>
        <li>Five semantic article types: <code>finding</code>, <code>insight</code>, <code>precedent</code>, <code>procedure</code>, <code>warning</code></li>
      </ul>

      <h3><span class="product-icon">📡</span> Perciqa Platform — Full-Stack AI Observability</h3>
      <p>The enterprise platform tying it all together: distributed tracing, explainability layer (attribution scores and reasoning chains), and continuous evaluation for LLMs, RAG pipelines, and AI agents.</p>
      <ul>
        <li>Deploy on managed cloud, VPC (AWS / GCP / Azure), or fully air-gapped on-premises</li>
        <li>SOC 2 Type II · HIPAA · EU AI Act · SOX · FINRA ready</li>
        <li>99.9% uptime SLA</li>
      </ul>
    </section>

    <!-- Sovereign AI -->
    <section>
      <h2>Sovereign AI 🇨🇦</h2>
      <p>We're building from Canada because we believe AI sovereignty matters — for nations, for enterprises, and for individuals.</p>
      <p><span class="strong-text">What that means in practice:</span></p>
      <ul>
        <li><strong>Your data stays yours.</strong> Air-gapped deployment means zero packets leave your premises.</li>
        <li><strong>Your jurisdiction, your rules.</strong> Canadian privacy law (PIPEDA), EU regulations, or your own governance framework — you choose.</li>
        <li><strong>No vendor lock-in.</strong> Apache 2.0 and MIT licenses. Fork it, modify it, deploy it. No phone-home, no usage caps, no surprise terms changes.</li>
        <li><strong>Hardware choice.</strong> Native optimisation for both AMD ROCm and NVIDIA CUDA. You pick the silicon.</li>
      </ul>
      <div class="blockquote">AI that works isn't enough anymore. It has to be AI you can trust, explain, and own.</div>
    </section>

    <!-- Our values -->
    <section>
      <h2>Our values</h2>
      <div class="values">
        <div class="value-card">
          <h4>Open by default</h4>
          <p>Core infrastructure is open-source and open-weight. We earn trust through transparency, not terms of service.</p>
        </div>
        <div class="value-card">
          <h4>Engineers first</h4>
          <p>Built by a technical team for technical teams. We ship tools we'd want to use ourselves.</p>
        </div>
        <div class="value-card">
          <h4>Sovereignty matters</h4>
          <p>Enterprises have an unalienable right to run AI on their own terms, their own hardware, in their own jurisdictions.</p>
        </div>
        <div class="value-card">
          <h4>Trust is earned by data</h4>
          <p>No "the AI says so." We provide ground-truth evidence, confidence maps, and full reasoning traces.</p>
        </div>
      </div>
    </section>

    <!-- Quick links -->
    <section>
      <h2>Quick links</h2>
      <div class="quick-links">
        <a href="https://perciqa.com" class="quick-link" target="_blank" rel="noopener">🌐 perciqa.com</a>
        <a href="https://perciqa.com/docs" class="quick-link" target="_blank" rel="noopener">📖 Documentation</a>
        <a href="https://github.com/perciqa" class="quick-link" target="_blank" rel="noopener">🐙 GitHub</a>
        <a href="https://perciqa.com/contact" class="quick-link" target="_blank" rel="noopener">💬 Contact</a>
      </div>
    </section>

    <!-- Footer -->
    <div class="footer">
      <p>Made with ♥ in Toronto, Canada 🇨🇦</p>
      <p class="emphasis">Enterprise AI, built to be owned.</p>
    </div>

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