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	<meta name="description" content="PARADOXON AI – Epistemic Runtime für Safety-Critical Edge AI. Deterministische Entscheidungen über Zeit. Kria KV260 + ROS2 + Formal Proofs." />
	<title>PARADOXON AI – Epistemic Runtime \| Decision over Time</title>
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	<body>

	<!-- ====== HERO ====== -->
	<header class="hero">
	<div class="container">
	<div class="identity">PARADOXON AI — EPISTEMIC RUNTIME</div>
	<h1>Decision over Time für<br/><span>Safety-Critical Edge AI</span></h1>
	<p class="subheader">Epistemische Runtime fuer Edge-Entscheidungen. ABSTAIN als valider Output. Kria KV260 + ROS2 + Formal Proofs. Ziel: Nachvollziehbare Zustandsueberwachung.</p>
	<div class="badge-row">
	<span class="badge">DETERMINISTIC</span>
	<span class="badge">EPISTEMIC</span>
	<span class="badge">ABSTAIN-CAPABLE</span>
	<span class="badge">FPGA-READY</span>
	<span class="badge warn">RESEARCH PREVIEW</span>
	</div>
	</div>
	</header>

	<!-- ====== LIVE STATUS ====== -->
	<section id="live-status" style="background:#0a0a1a">
	<div class="container">
	<h2 style="text-align:center">LIVE <span>SYSTEM STATUS</span></h2>
	<p style="text-align:center;max-width:600px;margin:0 auto 2rem">Echtzeit-Status aller Knoten. Jeder Eintrag ist verifiziert und auditierbar.</p>
	<div class="live-status">
	<div class="status-grid">
	<div class="status-item"><div class="label">Kria KV260</div><div class="value ok">CONNECTED</div><div style="font-size:0.7rem;color:#555;margin-top:0.25rem">Linux 6.8.0-1029-xilinx</div></div>
	<div class="status-item"><div class="label">Runtime Agents</div><div class="value ok">19/19 GRUEN</div><div style="font-size:0.7rem;color:#555;margin-top:0.25rem">Last: 2026-05-17</div></div>
	<div class="status-item"><div class="label">Audit Chain</div><div class="value ok">227 ENTRIES</div><div style="font-size:0.7rem;color:#555;margin-top:0.25rem">SHA-256 verified</div></div>
	<div class="status-item"><div class="label">FPGA Targets</div><div class="value ok">7 FILES</div><div style="font-size:0.7rem;color:#555;margin-top:0.25rem">VHD + SystemVerilog</div></div>
	<div class="status-item"><div class="label">Note10 Edge</div><div class="value ok">HEALTHY</div><div style="font-size:0.7rem;color:#555;margin-top:0.25rem">Port 8022 / Termux</div></div>
	<div class="status-item"><div class="label">Formal Proofs</div><div class="value warn">7 .thy</div><div style="font-size:0.7rem;color:#555;margin-top:0.25rem">Isabelle/HOL</div></div>
	</div>
	</div>
	</div>
	</section>

	<!-- ====== PARADIGM SHIFT ====== -->
	<section id="paradigm">
	<div class="container">
	<h2 style="text-align:center">DER <span>PARADIGMENWECHSEL</span></h2>
	<p style="text-align:center;max-width:700px;margin:0 auto 2rem">Traditionelle KI arbeitet mit Wahrscheinlichkeiten. PARADOXON AI verfolgt einen deterministischen Ansatz mit epistemischer Unsicherheit.</p>
	<div class="paradigm-grid">
	<div class="paradigm-card old">
	<h3 style="color:#ff5050;margin-bottom:1rem">Traditionelle KI</h3>
	<p style="font-family:monospace;font-size:0.85rem;color:#b0b0c0">
	<span style="color:#ff5050">Input:</span> "Ist das eine Katze?"<br><br>
	<span style="color:#ff5050">Output:</span><br>
	Katze: 87.3%<br>
	Hund: 8.1%<br>
	Maus: 4.6%<br><br>
	<span style="color:#ff5050">Problem:</span> Keine Entscheidung.<br>
	Nur Wahrscheinlichkeiten.<br>
	Nicht reproduzierbar.
	</p>
	</div>
	<div class="paradigm-card new">
	<h3 style="color:#00ffaa;margin-bottom:1rem">PARADOXON AI</h3>
	<p style="font-family:monospace;font-size:0.85rem;color:#b0b0c0">
	<span style="color:#00ffaa">Input:</span> State(t) = [sensor frame]<br><br>
	<span style="color:#00ffaa">Output:</span><br>
	Decision: ALLOW<br>
	Gradient: 23.1<br>
	Hash: a3f2e891...<br><br>
	<span style="color:#00ffaa">Ziel:</span> Nachvollziehbare Entscheidung.<br>
	Auditierbar durch Hash-Kette.<br>
	Reproduzierbar bei gleichem Input.
	</p>
	</div>
	</div>
	</div>
	</section>

	<!-- ====== LIVE PROOF ====== -->
	<section id="live-proof" style="background:#0a0a1a">
	<div class="container">
	<h2>LIVE <span>SYSTEM PROOF</span></h2>
	<p>Deterministische State-Evolution — keine abstrakte Beschreibung. INPUT → PROCESS → OUTPUT mit nachvollziehbarer Trace.</p>
	<div class="live-proof">
	<div><span class="label">INPUT:</span> <span class="value">state(0) = 2.347 — motor load baseline, industrial pump</span></div>
	<div style="margin-top:0.5rem"><span class="label">PROCESS:</span> <span class="value">state(t+1) = state(t) × 1.618 + 0.5 — deterministic golden-ratio evolution</span></div>
	<div style="margin-top:0.5rem"><span class="label">T0→T1:</span> <span class="value">2.347 × 1.618 + 0.5 = <strong>4.297</strong></span> <span class="decision">→ STABLE</span></div>
	<div style="margin-top:0.25rem"><span class="label">T1→T2:</span> <span class="value">4.297 × 1.618 + 0.5 = <strong>7.452</strong></span> <span class="decision">→ INCREASE_LOAD</span></div>
	<div style="margin-top:0.25rem"><span class="label">T2→T3:</span> <span class="value">7.452 × 1.618 + 0.5 = <strong>12.557</strong></span> <span class="decision">→ INCREASE_LOAD</span></div>
	<div style="margin-top:0.5rem"><span class="label">OUTPUT:</span> <span class="value">Final decision: INCREASE_LOAD — threshold exceeded at T2</span></div>
	<div style="margin-top:0.25rem"><span class="label">AUDIT:</span> <span class="value" style="color:#555">SHA-256: a3f2e891... deterministic, reproducible, identical on replay</span></div>
	</div>
	</div>
	</section>

	<!-- ====== ARCHITECTURE ====== -->
	<section id="architecture">
	<div class="container">
	<h2>SYSTEM <span>ARCHITECTURE</span></h2>
	<p>5 deterministische Layer. Jeder Layer hat klar definierte Funktion, Datenfluss und Output-Typ.</p>
	<div class="layers">
	<div class="layer"><div class="layer-num">LAYER 1 — INPUT</div><div class="layer-func">Erfasst Sensor-Signale, Zustandsvariablen, System-Parameter</div><div class="layer-data">Input: Float-Array \| Output: Canonical State</div></div>
	<div class="layer"><div class="layer-num">LAYER 2 — TEMPORAL EVALUATION</div><div class="layer-func">Berechnet State-Evolution über Zeitfenster</div><div class="layer-data">Input: State-History \| Output: Gradient, Variance</div></div>
	<div class="layer"><div class="layer-num">LAYER 3 — DECISION CORE</div><div class="layer-func">Decision-Logik: D(state, gradient, uncertainty) → {ALLOW, DENY, ABSTAIN}</div><div class="layer-data">Input: Evaluated State \| Output: Decision + Confidence</div></div>
	<div class="layer"><div class="layer-num">LAYER 4 — EXECUTION</div><div class="layer-func">Übersetzt Decision in physische Aktionen</div><div class="layer-data">Input: Decision \| Output: Executed Commands</div></div>
	<div class="layer"><div class="layer-num">LAYER 5 — AUDIT</div><div class="layer-func">SHA-256 Hash-Kette über alle States, Decisions, Actions</div><div class="layer-data">Input: Full Trace \| Output: Audit Hash + Replay-Log</div></div>
	</div>
	</div>
	</section>

	<!-- ====== DIFFERENTIATION ====== -->
	<section id="differentiation" style="background:#0a0a1a">
	<div class="container">
	<h2>WARUM ANDERS</h2>
	<table class="diff-table">
	<thead><tr><th>Kriterium</th><th>Klassische KI (LLMs)</th><th>Software Agenturen</th><th>PARADOXON AI</th></tr></thead>
	<tbody>
	<tr><td>Entscheidung</td><td>Probabilistisch (Sampling)</td><td>Regelbasiert (statisch)</td><td><span style="color:#00ffaa">Ziel: Deterministisch ueber Zeit</span></td></tr>
	<tr><td>Reproduzierbarkeit</td><td>Nein (Seed-abhaengig)</td><td>Ja (aber starr)</td><td><span style="color:#00ffaa">Angestrebt: Ja + Temporal-Evolution</span></td></tr>
	<tr><td>Auditierbarkeit</td><td>Blackbox</td><td>Code-Review</td><td><span style="color:#00ffaa">SHA-256 Trace-Kette (in Entwicklung)</span></td></tr>
	<tr><td>Unsicherheit</td><td>Confidence-Score (heuristisch)</td><td>Kein Konzept</td><td><span style="color:#00ffaa">ABSTAIN-Logik (in Entwicklung)</span></td></tr>
	<tr><td>Hardware</td><td>Cloud-GPU</td><td>Standard-Server</td><td><span style="color:#00ffaa">Edge / FPGA (in Entwicklung)</span></td></tr>
	<tr><td>Output</td><td>Text / Wahrscheinlichkeit</td><td>Code / Konfiguration</td><td><span style="color:#00ffaa">Decision + Action (in Entwicklung)</span></td></tr>
	</tbody>
	</table>
	</div>
	</section>

	<!-- ====== MARKET POSITION ====== -->
	<section id="market">
	<div class="container">
	<h2>POSITIONIERUNG <span>EUROPA + WELTWEIT</span></h2>
	<p>Angestrebt: Führende Programme in Europa und weltweit.</p>
	<div class="market-grid">
	<div class="market-card"><h4>ESA Phi-Lab</h4><p>AI in NTN Challenge — Non-Terrestrial Networks mit deterministischer Edge AI für Satellitenkommunikation.</p></div>
	<div class="market-card"><h4>digital.tirol 2026</h4><p>Förderantrag für AI Factory Pilot in Innsbruck — Tiroler Leitprojekt für industrielle KI.</p></div>
	<div class="market-card"><h4>HuggingFace</h4><p>Public Space + Dataset — CCRN Paper v2.0 auf Zenodo, DOI: 10.5281/zenodo.14999136</p></div>
	<div class="market-card"><h4>EU AI Act</h4><p>Compliance Mapping für High-Risk AI — Safety-First by Design, nicht nachträglich.</p></div>
	<div class="market-card"><h4>ROS2 Standard</h4><p>Topics definiert für /orion/edge/* — Integration in bestehende Robotik-Infrastruktur.</p></div>
	<div class="market-card"><h4>GitHub Public</h4><p>STEURER-ROS2-Node — Open Source mit formaler Verifikation und Audit-Kette.</p></div>
	</div>
	</div>
	</section>

	<!-- ====== IMPRESSUM ====== -->
	<section id="impressum" style="padding:3rem 0;border-top:1px solid #151530">
	<div class="container" style="max-width:700px">
	<h2>Impressum</h2>
	<p style="color:#9090a0"><strong style="color:#d0d0e0">Dienstanbieter & Medieninhaber:</strong><br>Gerhard Hirschmann<br>Almdorf 9, Top 10<br>6380 St. Johann in Tirol<br>Österreich</p>
	<p style="color:#9090a0"><strong style="color:#d0d0e0">Unternehmensgegenstand:</strong> Dienstleistungen in der automatischen Datenverarbeitung und Informationstechnik<br><strong style="color:#d0d0e0">Gewerbebehörde:</strong> Bezirkshauptmannschaft Kitzbühel<br><strong style="color:#d0d0e0">Mitgliedschaft:</strong> Wirtschaftskammer Tirol, Fachgruppe UBIT</p>
	<p style="color:#9090a0"><strong style="color:#d0d0e0">Kontaktdaten:</strong><br>E-Mail: <a href="mailto:contact@paradoxonai.at" style="color:#00ffaa">contact@paradoxonai.at</a></p>
	<p style="color:#9090a0"><strong style="color:#d0d0e0">Urheberrechtlicher Hinweis:</strong><br>Die Urheberrechte liegen gemeinschaftlich bei:<br><strong style="color:#d0d0e0">Gerhard Hirschmann & Elisabeth Steurer</strong><br>Almdorf 9, Top 10, 6380 St. Johann in Tirol</p>
	<p style="color:#9090a0"><strong style="color:#d0d0e0">Haftungsausschluss:</strong><br>Trotz sorgfältiger inhaltlicher Kontrolle übernehmen wir keine Haftung für die Inhalte externer Links. Die technische Dokumentation dient Forschungszwecken.</p>
	<p style="color:#555;font-size:0.8rem">Offenlegung gemäß § 25 Mediengesetz und Angaben gemäß § 5 ECG.</p>
	</div>
	</section>

	<footer>
	<div class="container">
	<p>© 2026 Paradoxon AI \| <a href="https://paradoxonai.at">paradoxonai.at</a> \| DOI: 10.5281/zenodo.14999136</p>
	<p style="margin-top:0.5rem;font-size:0.75rem;color:#444">EPISTEMIC_RUNTIME \| MODE: REAL_EXECUTION_ONLY \| Decision over Time</p>
	</div>
	</footer>

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