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    <title>R&amp;D | Ceradon Systems</title>
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            <span class="tag">Research &amp; Development</span>
          <h1 class="text-4xl font-bold text-[color:var(--white)]">Where We&rsquo;re Going Next</h1>
          <p class="text-subtle text-lg max-w-3xl">Our product pages show what Ceradon delivers today. This page shows where we&rsquo;re investing &mdash; the research threads, capability expansions, and partnerships shaping our next generation of tools.</p>
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          <h2 class="section-heading text-3xl">Roadmap</h2>
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              <h3 class="text-xl font-semibold text-[color:var(--white)]">Collaborative Autonomy</h3>
              <p class="text-sm text-subtle">Software-defined orchestration for decentralized drone behaviors and wolfpack-style missions.</p>
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              <h3 class="text-xl font-semibold text-[color:var(--white)]">Localized Production Logic</h3>
              <p class="text-sm text-subtle">Orchestration for field-based assembly, repair, and sustainment of robotic assets.</p>
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              <h3 class="text-xl font-semibold text-[color:var(--white)]">Passive Detection Expansion</h3>
              <p class="text-sm text-subtle">Wi-Fi CSI anomaly detection for zero-emission awareness of Group 1&ndash;3 threats.</p>
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              <h3 class="text-xl font-semibold text-[color:var(--white)]">Operator-Directed Edge Retraining</h3>
              <p class="text-sm text-subtle">On-device model adaptation in minutes &mdash; no reach-back to CONUS, no contractor, no weeks-long retraining pipeline.</p>
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            <span class="tag">Emerging Capability</span>
            <h2 class="text-2xl font-semibold text-[color:var(--white)]">Edge AI Retraining &mdash; Closing the Last Mile</h2>
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          <p class="text-subtle max-w-3xl">Every defense AI program hits the same wall: models trained in controlled environments degrade in the field. Different terrain, lighting, concealment methods, and threat profiles mean laboratory accuracy rarely survives first contact with reality.</p>
          <p class="text-subtle max-w-3xl">The current DoD solution &mdash; ship data back to CONUS, retrain in a SCIF, push updates weeks later &mdash; doesn&rsquo;t work for small teams operating in denied or disconnected environments. We&rsquo;re building systems that retrain on-device, in minutes, directed by the operator who knows the environment best.</p>

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              <h3 class="text-lg font-semibold text-[color:var(--white)]">Why This Matters</h3>
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                <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> SOF teams need systems that adapt to the environment they&rsquo;re in <em>right now</em> &mdash; no reach-back to data centers.</li>
                <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> Border and perimeter security faces constantly changing threat profiles that demand rapid model updates.</li>
                <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> Partner forces can train on <em>their</em> environment with <em>their</em> data &mdash; no classified training sets required. A significant FMS enabler.</li>
                <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> Persistent surveillance at FOBs and COPs where the threat signature changes weekly.</li>
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              <h3 class="text-lg font-semibold text-[color:var(--white)]">Our Approach</h3>
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                <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> <strong>Operator-in-the-loop:</strong> Human oversight is the safety mechanism &mdash; operators validate retraining results before deployment.</li>
                <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> <strong>Incremental learning:</strong> Adapt models with small, field-collected datasets without catastrophic forgetting of base capabilities.</li>
                <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> <strong>Edge-native compute:</strong> Full retraining pipeline runs on embedded hardware &mdash; no cloud dependency, no exfiltration risk.</li>
                <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> <strong>Closed-loop integration:</strong> Retrained models feed directly into autonomous response and C2 systems.</li>
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            <h2 class="text-2xl font-semibold text-[color:var(--white)]">Research Partnerships</h2>
            <p class="text-subtle">We collaborate with academic labs and government research programs to advance passive RF sensing, autonomous systems integration, and field-deployable manufacturing.</p>
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              <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> SBIR/STTR-eligible across multiple DoD topics.</li>
              <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> Open to joint research with universities and FFRDCs.</li>
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            <h2 class="text-2xl font-semibold text-[color:var(--white)]">Future Capability Areas</h2>
            <p class="text-subtle">Beyond our current product lines, we&rsquo;re exploring capabilities at the intersection of passive sensing and autonomous logistics.</p>
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              <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> Multi-sensor fusion with CSI + acoustic + inertial data.</li>
              <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> Edge-native ML for disconnected, contested environments.</li>
              <li class="flex gap-3"><span class="text-[color:var(--ceradon-blue)]">&#9657;</span> Supply chain awareness tooling for expeditionary logistics.</li>
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          <h2 class="text-2xl font-semibold text-[color:var(--white)]">Interested in Collaborating?</h2>
          <p class="text-subtle max-w-2xl mx-auto">Whether you&rsquo;re a research lab, a defense prime, or a program office exploring new sensing modalities &mdash; we&rsquo;d like to hear from you.</p>
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          <p>Architect is maintained as an open-source project by Ceradon Systems.</p>
          <p>Ceradon Systems, LLC (Utah) &middot; CAGE 179U9 &middot; UEI UZA9PFJ9RDL6 &middot; Active in SAM.gov through Dec 5, 2026.</p>
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