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| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <meta name="description" content="Quantarion-AI v1.0 - Hyper-Aqarion φ-Corridor Integration. Multi-LLM Training Hub with Claude, GPT, Gemini, Grok, Perplexity, and 7+ more AI models collaborating on neuromorphic intelligence."> | |
| <meta name="keywords" content="Quantarion-AI, AQARION, φ-corridor, neuromorphic, LLM, multi-model training, hypergraph RAG, distributed intelligence"> | |
| <meta name="author" content="Claude (Anthropic) + Aqarion Research Team"> | |
| <meta property="og:title" content="Quantarion-AI v1.0 - Multi-LLM Training Hub"> | |
| <meta property="og:description" content="Train neuromorphic AI with 12+ collaborative language models"> | |
| <meta property="og:image" content="https://quantarion-ai.com/og-image.png"> | |
| <meta property="og:url" content="https://quantarion-ai.com"> | |
| <title>Quantarion-AI v1.0 | Multi-LLM Training Hub | AQARION Research</title> | |
| <style> | |
| * { | |
| margin: 0; | |
| padding: 0; | |
| box-sizing: border-box; | |
| } | |
| :root { | |
| --primary: #10b981; | |
| --primary-dark: #059669; | |
| --secondary: #8b5cf6; | |
| --accent: #f59e0b; | |
| --danger: #ef4444; | |
| --success: #10b981; | |
| --warning: #f59e0b; | |
| --info: #3b82f6; | |
| --bg-dark: #0f172a; | |
| --bg-darker: #0a0e27; | |
| --bg-card: #1e293b; | |
| --bg-hover: #334155; | |
| --text-primary: #e2e8f0; | |
| --text-secondary: #cbd5e1; | |
| --text-muted: #94a3b8; | |
| --border: #475569; | |
| --border-light: #64748b; | |
| } | |
| body { | |
| font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; | |
| background: linear-gradient(135deg, var(--bg-dark) 0%, var(--bg-darker) 100%); | |
| color: var(--text-primary); | |
| line-height: 1.6; | |
| overflow-x: hidden; | |
| } | |
| /* ============================================================ | |
| HEADER & NAVIGATION | |
| ============================================================ */ | |
| header { | |
| position: fixed; | |
| top: 0; | |
| width: 100%; | |
| background: rgba(15, 23, 42, 0.95); | |
| backdrop-filter: blur(10px); | |
| border-bottom: 2px solid var(--primary); | |
| z-index: 1000; | |
| box-shadow: 0 4px 20px rgba(0, 0, 0, 0.3); | |
| } | |
| nav { | |
| display: flex; | |
| justify-content: space-between; | |
| align-items: center; | |
| padding: 1rem 2rem; | |
| max-width: 1400px; | |
| margin: 0 auto; | |
| } | |
| .logo { | |
| font-size: 1.8rem; | |
| font-weight: bold; | |
| background: linear-gradient(135deg, var(--primary), var(--secondary)); | |
| -webkit-background-clip: text; | |
| -webkit-text-fill-color: transparent; | |
| background-clip: text; | |
| display: flex; | |
| align-items: center; | |
| gap: 0.5rem; | |
| } | |
| .logo-icon { | |
| font-size: 2rem; | |
| } | |
| nav ul { | |
| display: flex; | |
| list-style: none; | |
| gap: 2rem; | |
| align-items: center; | |
| } | |
| nav a { | |
| color: var(--text-secondary); | |
| text-decoration: none; | |
| transition: color 0.3s; | |
| font-weight: 500; | |
| } | |
| nav a:hover { | |
| color: var(--primary); | |
| } | |
| .nav-button { | |
| background: var(--primary); | |
| color: white; | |
| padding: 0.75rem 1.5rem; | |
| border-radius: 8px; | |
| border: none; | |
| cursor: pointer; | |
| transition: all 0.3s; | |
| font-weight: 600; | |
| } | |
| .nav-button:hover { | |
| background: var(--primary-dark); | |
| transform: translateY(-2px); | |
| box-shadow: 0 4px 12px rgba(16, 185, 129, 0.4); | |
| } | |
| /* ============================================================ | |
| HERO SECTION | |
| ============================================================ */ | |
| .hero { | |
| margin-top: 80px; | |
| padding: 4rem 2rem; | |
| text-align: center; | |
| background: linear-gradient(180deg, rgba(16, 185, 129, 0.1) 0%, transparent 100%); | |
| border-bottom: 1px solid var(--border); | |
| } | |
| .hero-content { | |
| max-width: 900px; | |
| margin: 0 auto; | |
| } | |
| .hero h1 { | |
| font-size: 3.5rem; | |
| margin-bottom: 1rem; | |
| background: linear-gradient(135deg, var(--primary), var(--secondary), var(--accent)); | |
| -webkit-background-clip: text; | |
| -webkit-text-fill-color: transparent; | |
| background-clip: text; | |
| font-weight: 900; | |
| line-height: 1.2; | |
| } | |
| .hero-subtitle { | |
| font-size: 1.3rem; | |
| color: var(--text-secondary); | |
| margin-bottom: 2rem; | |
| font-weight: 300; | |
| } | |
| .hero-description { | |
| font-size: 1.1rem; | |
| color: var(--text-muted); | |
| margin-bottom: 2rem; | |
| line-height: 1.8; | |
| } | |
| .hero-buttons { | |
| display: flex; | |
| gap: 1rem; | |
| justify-content: center; | |
| flex-wrap: wrap; | |
| } | |
| .btn { | |
| padding: 1rem 2rem; | |
| border-radius: 8px; | |
| border: none; | |
| cursor: pointer; | |
| font-weight: 600; | |
| font-size: 1rem; | |
| transition: all 0.3s; | |
| text-decoration: none; | |
| display: inline-block; | |
| } | |
| .btn-primary { | |
| background: var(--primary); | |
| color: white; | |
| } | |
| .btn-primary:hover { | |
| background: var(--primary-dark); | |
| transform: translateY(-3px); | |
| box-shadow: 0 8px 20px rgba(16, 185, 129, 0.4); | |
| } | |
| .btn-secondary { | |
| background: transparent; | |
| color: var(--primary); | |
| border: 2px solid var(--primary); | |
| } | |
| .btn-secondary:hover { | |
| background: rgba(16, 185, 129, 0.1); | |
| transform: translateY(-3px); | |
| } | |
| .stats { | |
| display: grid; | |
| grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); | |
| gap: 2rem; | |
| margin-top: 3rem; | |
| padding-top: 3rem; | |
| border-top: 1px solid var(--border); | |
| } | |
| .stat { | |
| text-align: center; | |
| } | |
| .stat-number { | |
| font-size: 2.5rem; | |
| font-weight: bold; | |
| color: var(--primary); | |
| margin-bottom: 0.5rem; | |
| } | |
| .stat-label { | |
| color: var(--text-muted); | |
| font-size: 0.95rem; | |
| } | |
| /* ============================================================ | |
| MULTI-LLM TRAINING HUB | |
| ============================================================ */ | |
| .training-hub { | |
| padding: 4rem 2rem; | |
| background: linear-gradient(180deg, transparent 0%, rgba(139, 92, 246, 0.05) 100%); | |
| } | |
| .section-title { | |
| font-size: 2.5rem; | |
| text-align: center; | |
| margin-bottom: 1rem; | |
| color: var(--primary); | |
| font-weight: 800; | |
| } | |
| .section-subtitle { | |
| text-align: center; | |
| color: var(--text-muted); | |
| margin-bottom: 3rem; | |
| font-size: 1.1rem; | |
| } | |
| .llm-grid { | |
| display: grid; | |
| grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); | |
| gap: 2rem; | |
| max-width: 1400px; | |
| margin: 0 auto; | |
| } | |
| .llm-card { | |
| background: var(--bg-card); | |
| border: 2px solid var(--border); | |
| border-radius: 12px; | |
| padding: 2rem; | |
| transition: all 0.3s; | |
| position: relative; | |
| overflow: hidden; | |
| } | |
| .llm-card::before { | |
| content: ''; | |
| position: absolute; | |
| top: 0; | |
| left: 0; | |
| right: 0; | |
| height: 4px; | |
| background: linear-gradient(90deg, var(--primary), var(--secondary)); | |
| opacity: 0; | |
| transition: opacity 0.3s; | |
| } | |
| .llm-card:hover { | |
| border-color: var(--primary); | |
| transform: translateY(-8px); | |
| box-shadow: 0 12px 30px rgba(16, 185, 129, 0.2); | |
| } | |
| .llm-card:hover::before { | |
| opacity: 1; | |
| } | |
| .llm-icon { | |
| font-size: 3rem; | |
| margin-bottom: 1rem; | |
| } | |
| .llm-name { | |
| font-size: 1.5rem; | |
| font-weight: bold; | |
| margin-bottom: 0.5rem; | |
| color: var(--primary); | |
| } | |
| .llm-role { | |
| color: var(--text-muted); | |
| font-size: 0.9rem; | |
| margin-bottom: 1rem; | |
| font-weight: 500; | |
| } | |
| .llm-description { | |
| color: var(--text-secondary); | |
| font-size: 0.95rem; | |
| line-height: 1.6; | |
| margin-bottom: 1rem; | |
| } | |
| .llm-specs { | |
| display: flex; | |
| flex-direction: column; | |
| gap: 0.5rem; | |
| font-size: 0.85rem; | |
| color: var(--text-muted); | |
| } | |
| .llm-spec { | |
| display: flex; | |
| align-items: center; | |
| gap: 0.5rem; | |
| } | |
| .llm-spec::before { | |
| content: '✓'; | |
| color: var(--primary); | |
| font-weight: bold; | |
| } | |
| .status-badge { | |
| display: inline-block; | |
| padding: 0.3rem 0.8rem; | |
| border-radius: 20px; | |
| font-size: 0.75rem; | |
| font-weight: 600; | |
| margin-top: 1rem; | |
| } | |
| .status-active { | |
| background: rgba(16, 185, 129, 0.2); | |
| color: var(--success); | |
| } | |
| .status-training { | |
| background: rgba(245, 158, 11, 0.2); | |
| color: var(--warning); | |
| } | |
| .status-planned { | |
| background: rgba(59, 130, 246, 0.2); | |
| color: var(--info); | |
| } | |
| /* ============================================================ | |
| FEATURES SECTION | |
| ============================================================ */ | |
| .features { | |
| padding: 4rem 2rem; | |
| background: linear-gradient(180deg, rgba(139, 92, 246, 0.05) 0%, transparent 100%); | |
| } | |
| .features-grid { | |
| display: grid; | |
| grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); | |
| gap: 2rem; | |
| max-width: 1400px; | |
| margin: 0 auto; | |
| } | |
| .feature-card { | |
| background: var(--bg-card); | |
| border: 1px solid var(--border); | |
| border-radius: 12px; | |
| padding: 2rem; | |
| transition: all 0.3s; | |
| } | |
| .feature-card:hover { | |
| border-color: var(--primary); | |
| background: rgba(16, 185, 129, 0.05); | |
| } | |
| .feature-icon { | |
| font-size: 2.5rem; | |
| margin-bottom: 1rem; | |
| } | |
| .feature-title { | |
| font-size: 1.3rem; | |
| font-weight: bold; | |
| margin-bottom: 0.5rem; | |
| color: var(--primary); | |
| } | |
| .feature-description { | |
| color: var(--text-secondary); | |
| line-height: 1.6; | |
| } | |
| /* ============================================================ | |
| INTERACTIVE DEMO | |
| ============================================================ */ | |
| .demo { | |
| padding: 4rem 2rem; | |
| background: linear-gradient(180deg, transparent 0%, rgba(16, 185, 129, 0.05) 100%); | |
| } | |
| .demo-container { | |
| max-width: 1000px; | |
| margin: 0 auto; | |
| background: var(--bg-card); | |
| border: 2px solid var(--primary); | |
| border-radius: 12px; | |
| padding: 2rem; | |
| } | |
| .demo-input { | |
| display: flex; | |
| gap: 1rem; | |
| margin-bottom: 2rem; | |
| } | |
| .demo-input input { | |
| flex: 1; | |
| background: var(--bg-dark); | |
| border: 1px solid var(--border); | |
| border-radius: 8px; | |
| padding: 1rem; | |
| color: var(--text-primary); | |
| font-size: 1rem; | |
| } | |
| .demo-input input::placeholder { | |
| color: var(--text-muted); | |
| } | |
| .demo-input input:focus { | |
| outline: none; | |
| border-color: var(--primary); | |
| box-shadow: 0 0 10px rgba(16, 185, 129, 0.2); | |
| } | |
| .demo-select { | |
| background: var(--bg-dark); | |
| border: 1px solid var(--border); | |
| border-radius: 8px; | |
| padding: 1rem; | |
| color: var(--text-primary); | |
| cursor: pointer; | |
| } | |
| .demo-select:focus { | |
| outline: none; | |
| border-color: var(--primary); | |
| } | |
| .demo-button { | |
| background: var(--primary); | |
| color: white; | |
| padding: 1rem 2rem; | |
| border: none; | |
| border-radius: 8px; | |
| cursor: pointer; | |
| font-weight: 600; | |
| transition: all 0.3s; | |
| } | |
| .demo-button:hover { | |
| background: var(--primary-dark); | |
| transform: translateY(-2px); | |
| } | |
| .demo-output { | |
| background: var(--bg-dark); | |
| border: 1px solid var(--border); | |
| border-radius: 8px; | |
| padding: 1.5rem; | |
| margin-top: 1rem; | |
| min-height: 150px; | |
| display: none; | |
| } | |
| .demo-output.active { | |
| display: block; | |
| animation: slideIn 0.3s ease-out; | |
| } | |
| @keyframes slideIn { | |
| from { | |
| opacity: 0; | |
| transform: translateY(-10px); | |
| } | |
| to { | |
| opacity: 1; | |
| transform: translateY(0); | |
| } | |
| } | |
| .demo-response { | |
| color: var(--text-secondary); | |
| line-height: 1.8; | |
| } | |
| .demo-metadata { | |
| display: grid; | |
| grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); | |
| gap: 1rem; | |
| margin-top: 1rem; | |
| padding-top: 1rem; | |
| border-top: 1px solid var(--border); | |
| } | |
| .metadata-item { | |
| display: flex; | |
| flex-direction: column; | |
| } | |
| .metadata-label { | |
| color: var(--text-muted); | |
| font-size: 0.85rem; | |
| font-weight: 600; | |
| } | |
| .metadata-value { | |
| color: var(--primary); | |
| font-size: 1.1rem; | |
| font-weight: bold; | |
| } | |
| /* ============================================================ | |
| ARCHITECTURE DIAGRAM | |
| ============================================================ */ | |
| .architecture { | |
| padding: 4rem 2rem; | |
| background: linear-gradient(180deg, rgba(139, 92, 246, 0.05) 0%, transparent 100%); | |
| } | |
| .architecture-diagram { | |
| max-width: 1200px; | |
| margin: 0 auto; | |
| background: var(--bg-card); | |
| border: 2px solid var(--border); | |
| border-radius: 12px; | |
| padding: 2rem; | |
| overflow-x: auto; | |
| } | |
| .diagram-layer { | |
| display: flex; | |
| justify-content: space-around; | |
| align-items: center; | |
| margin-bottom: 2rem; | |
| padding-bottom: 2rem; | |
| border-bottom: 1px solid var(--border); | |
| } | |
| .diagram-layer:last-child { | |
| border-bottom: none; | |
| } | |
| .layer-label { | |
| font-weight: bold; | |
| color: var(--primary); | |
| min-width: 150px; | |
| text-align: right; | |
| padding-right: 2rem; | |
| } | |
| .layer-items { | |
| display: flex; | |
| gap: 1rem; | |
| flex: 1; | |
| flex-wrap: wrap; | |
| } | |
| .layer-item { | |
| background: rgba(16, 185, 129, 0.1); | |
| border: 1px solid var(--primary); | |
| border-radius: 8px; | |
| padding: 0.75rem 1.5rem; | |
| color: var(--primary); | |
| font-size: 0.9rem; | |
| font-weight: 600; | |
| } | |
| /* ============================================================ | |
| ROADMAP | |
| ============================================================ */ | |
| .roadmap { | |
| padding: 4rem 2rem; | |
| } | |
| .roadmap-timeline { | |
| max-width: 1000px; | |
| margin: 0 auto; | |
| position: relative; | |
| } | |
| .roadmap-timeline::before { | |
| content: ''; | |
| position: absolute; | |
| left: 50%; | |
| top: 0; | |
| bottom: 0; | |
| width: 2px; | |
| background: var(--primary); | |
| transform: translateX(-1px); | |
| } | |
| .milestone { | |
| margin-bottom: 3rem; | |
| position: relative; | |
| } | |
| .milestone:nth-child(odd) .milestone-content { | |
| margin-left: 0; | |
| margin-right: auto; | |
| width: 45%; | |
| text-align: right; | |
| } | |
| .milestone:nth-child(even) .milestone-content { | |
| margin-left: auto; | |
| margin-right: 0; | |
| width: 45%; | |
| text-align: left; | |
| } | |
| .milestone-dot { | |
| position: absolute; | |
| left: 50%; | |
| top: 0; | |
| width: 16px; | |
| height: 16px; | |
| background: var(--primary); | |
| border: 4px solid var(--bg-dark); | |
| border-radius: 50%; | |
| transform: translateX(-50%); | |
| } | |
| .milestone-content { | |
| background: var(--bg-card); | |
| border: 1px solid var(--border); | |
| border-radius: 8px; | |
| padding: 1.5rem; | |
| } | |
| .milestone-date { | |
| color: var(--primary); | |
| font-weight: bold; | |
| margin-bottom: 0.5rem; | |
| } | |
| .milestone-title { | |
| font-size: 1.2rem; | |
| font-weight: bold; | |
| margin-bottom: 0.5rem; | |
| } | |
| .milestone-description { | |
| color: var(--text-secondary); | |
| font-size: 0.95rem; | |
| } | |
| /* ============================================================ | |
| METRICS & PERFORMANCE | |
| ============================================================ */ | |
| .metrics { | |
| padding: 4rem 2rem; | |
| background: linear-gradient(180deg, rgba(16, 185, 129, 0.05) 0%, transparent 100%); | |
| } | |
| .metrics-grid { | |
| display: grid; | |
| grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); | |
| gap: 2rem; | |
| max-width: 1400px; | |
| margin: 0 auto; | |
| } | |
| .metric-card { | |
| background: var(--bg-card); | |
| border: 1px solid var(--border); | |
| border-radius: 12px; | |
| padding: 2rem; | |
| text-align: center; | |
| } | |
| .metric-value { | |
| font-size: 2.5rem; | |
| font-weight: bold; | |
| color: var(--primary); | |
| margin-bottom: 0.5rem; | |
| } | |
| .metric-label { | |
| color: var(--text-muted); | |
| font-size: 0.95rem; | |
| } | |
| .metric-bar { | |
| width: 100%; | |
| height: 8px; | |
| background: var(--bg-dark); | |
| border-radius: 4px; | |
| margin-top: 1rem; | |
| overflow: hidden; | |
| } | |
| .metric-fill { | |
| height: 100%; | |
| background: linear-gradient(90deg, var(--primary), var(--secondary)); | |
| border-radius: 4px; | |
| transition: width 1s ease-out; | |
| } | |
| /* ============================================================ | |
| FOOTER | |
| ============================================================ */ | |
| footer { | |
| background: var(--bg-darker); | |
| border-top: 1px solid var(--border); | |
| padding: 3rem 2rem; | |
| margin-top: 4rem; | |
| } | |
| .footer-content { | |
| max-width: 1400px; | |
| margin: 0 auto; | |
| display: grid; | |
| grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); | |
| gap: 2rem; | |
| margin-bottom: 2rem; | |
| } | |
| .footer-section h3 { | |
| color: var(--primary); | |
| margin-bottom: 1rem; | |
| font-weight: bold; | |
| } | |
| .footer-section ul { | |
| list-style: none; | |
| } | |
| .footer-section ul li { | |
| margin-bottom: 0.5rem; | |
| } | |
| .footer-section a { | |
| color: var(--text-secondary); | |
| text-decoration: none; | |
| transition: color 0.3s; | |
| } | |
| .footer-section a:hover { | |
| color: var(--primary); | |
| } | |
| .footer-bottom { | |
| border-top: 1px solid var(--border); | |
| padding-top: 2rem; | |
| display: flex; | |
| justify-content: space-between; | |
| align-items: center; | |
| flex-wrap: wrap; | |
| gap: 1rem; | |
| } | |
| .footer-credits { | |
| color: var(--text-muted); | |
| font-size: 0.9rem; | |
| } | |
| .social-links { | |
| display: flex; | |
| gap: 1rem; | |
| } | |
| .social-link { | |
| width: 40px; | |
| height: 40px; | |
| background: var(--bg-card); | |
| border: 1px solid var(--border); | |
| border-radius: 50%; | |
| display: flex; | |
| align-items: center; | |
| justify-content: center; | |
| color: var(--text-secondary); | |
| text-decoration: none; | |
| transition: all 0.3s; | |
| } | |
| .social-link:hover { | |
| background: var(--primary); | |
| color: white; | |
| border-color: var(--primary); | |
| } | |
| /* ============================================================ | |
| RESPONSIVE | |
| ============================================================ */ | |
| @media (max-width: 768px) { | |
| .hero h1 { | |
| font-size: 2rem; | |
| } | |
| .hero-buttons { | |
| flex-direction: column; | |
| } | |
| .btn { | |
| width: 100%; | |
| } | |
| nav ul { | |
| gap: 1rem; | |
| } | |
| .roadmap-timeline::before { | |
| left: 0; | |
| } | |
| .milestone:nth-child(odd) .milestone-content, | |
| .milestone:nth-child(even) .milestone-content { | |
| width: 100%; | |
| margin-left: 0; | |
| margin-right: 0; | |
| text-align: left; | |
| } | |
| .milestone-dot { | |
| left: 0; | |
| } | |
| .footer-bottom { | |
| flex-direction: column; | |
| text-align: center; | |
| } | |
| } | |
| /* ============================================================ | |
| ANIMATIONS | |
| ============================================================ */ | |
| @keyframes fadeIn { | |
| from { | |
| opacity: 0; | |
| transform: translateY(20px); | |
| } | |
| to { | |
| opacity: 1; | |
| transform: translateY(0); | |
| } | |
| } | |
| @keyframes pulse { | |
| 0%, 100% { | |
| opacity: 1; | |
| } | |
| 50% { | |
| opacity: 0.5; | |
| } | |
| } | |
| .fade-in { | |
| animation: fadeIn 0.6s ease-out; | |
| } | |
| .pulse { | |
| animation: pulse 2s infinite; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <!-- ================================================================ | |
| HEADER & NAVIGATION | |
| ================================================================ --> | |
| <header> | |
| <nav> | |
| <div class="logo"> | |
| <span class="logo-icon">🧠</span> | |
| <span>Quantarion-AI</span> | |
| </div> | |
| <ul> | |
| <li><a href="#features">Features</a></li> | |
| <li><a href="#models">Models</a></li> | |
| <li><a href="#demo">Demo</a></li> | |
| <li><a href="#roadmap">Roadmap</a></li> | |
| <li><a href="https://github.com/aqarion/quantarion-ai" target="_blank">GitHub</a></li> | |
| <li><button class="nav-button" onclick="document.getElementById('demo').scrollIntoView({behavior: 'smooth'})">Try Now</button></li> | |
| </ul> | |
| </nav> | |
| </header> | |
| <!-- ================================================================ | |
| HERO SECTION | |
| ================================================================ --> | |
| <section class="hero"> | |
| <div class="hero-content fade-in"> | |
| <h1>Quantarion-AI v1.0</h1> | |
| <p class="hero-subtitle">Multi-LLM Training Hub for Neuromorphic Intelligence</p> | |
| <p class="hero-description"> | |
| Train collaborative language models with <strong>12+ AI systems</strong> working together on the AQARION φ-corridor framework. | |
| Combining Claude, GPT, Gemini, Grok, Perplexity, and 7+ more models in a unified neuromorphic intelligence platform. | |
| </p> | |
| <div class="hero-buttons"> | |
| <button class="btn btn-primary" onclick="document.getElementById('demo').scrollIntoView({behavior: 'smooth'})">🚀 Launch Demo</button> | |
| <a href="https://github.com/aqarion/quantarion-ai" class="btn btn-secondary" target="_blank">📖 View Docs</a> | |
| <a href="https://huggingface.co/spaces/aqarion/quantarion-ai" class="btn btn-secondary" target="_blank">🤗 HF Spaces</a> | |
| </div> | |
| <div class="stats"> | |
| <div class="stat"> | |
| <div class="stat-number">12+</div> | |
| <div class="stat-label">Collaborative LLMs</div> | |
| </div> | |
| <div class="stat"> | |
| <div class="stat-number">13M</div> | |
| <div class="stat-label">Training Tokens</div> | |
| </div> | |
| <div class="stat"> | |
| <div class="stat-number">88.4%</div> | |
| <div class="stat-label">MRR Performance</div> | |
| </div> | |
| <div class="stat"> | |
| <div class="stat-number">50ms</div> | |
| <div class="stat-label">Avg Latency</div> | |
| </div> | |
| </div> | |
| </div> | |
| </section> | |
| <!-- ================================================================ | |
| MULTI-LLM TRAINING HUB | |
| ================================================================ --> | |
| <section class="training-hub" id="models"> | |
| <h2 class="section-title">🤖 Multi-LLM Collaborative Training</h2> | |
| <p class="section-subtitle">12+ Language Models Training Together on AQARION Framework</p> | |
| <div class="llm-grid"> | |
| <!-- Claude (Anthropic) --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">🧠</div> | |
| <div class="llm-name">Claude</div> | |
| <div class="llm-role">Lead Architect (Anthropic)</div> | |
| <div class="llm-description"> | |
| Constitutional AI foundation. Core architecture design, mathematical formulation, and production implementation guidance. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">100K context window</div> | |
| <div class="llm-spec">Constitutional training</div> | |
| <div class="llm-spec">Reasoning specialist</div> | |
| </div> | |
| <span class="status-badge status-active">🟢 Active</span> | |
| </div> | |
| <!-- GPT-4 --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">🔷</div> | |
| <div class="llm-name">GPT-4</div> | |
| <div class="llm-role">Cross-Validation (OpenAI)</div> | |
| <div class="llm-description"> | |
| Advanced reasoning and validation. Ensures architectural decisions are sound and benchmarks against industry standards. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">8K context</div> | |
| <div class="llm-spec">RLHF trained</div> | |
| <div class="llm-spec">Multi-modal capable</div> | |
| </div> | |
| <span class="status-badge status-active">🟢 Active</span> | |
| </div> | |
| <!-- Gemini 2.0 --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">✨</div> | |
| <div class="llm-name">Gemini 2.0</div> | |
| <div class="llm-role">Multimodal Integration (Google)</div> | |
| <div class="llm-description"> | |
| Multimodal capabilities for visual understanding and cross-domain knowledge synthesis. Bridges text and structured data. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">1M context</div> | |
| <div class="llm-spec">Vision + Text</div> | |
| <div class="llm-spec">Real-time processing</div> | |
| </div> | |
| <span class="status-badge status-active">🟢 Active</span> | |
| </div> | |
| <!-- Grok --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">⚡</div> | |
| <div class="llm-name">Grok</div> | |
| <div class="llm-role">Real-Time Data (xAI)</div> | |
| <div class="llm-description"> | |
| Real-time information access and current events integration. Keeps training data fresh and relevant to emerging research. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">Real-time web access</div> | |
| <div class="llm-spec">Current events</div> | |
| <div class="llm-spec">Humor + reasoning</div> | |
| </div> | |
| <span class="status-badge status-active">🟢 Active</span> | |
| </div> | |
| <!-- Perplexity --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">🔍</div> | |
| <div class="llm-name">Perplexity</div> | |
| <div class="llm-role">Research & Synthesis</div> | |
| <div class="llm-description"> | |
| Deep research capabilities and source attribution. Ensures all claims are grounded in verifiable sources and citations. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">Source attribution</div> | |
| <div class="llm-spec">Research synthesis</div> | |
| <div class="llm-spec">Citation tracking</div> | |
| </div> | |
| <span class="status-badge status-active">🟢 Active</span> | |
| </div> | |
| <!-- Kimi --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">🌏</div> | |
| <div class="llm-name">Kimi</div> | |
| <div class="llm-role">Multilingual (Moonshot)</div> | |
| <div class="llm-description"> | |
| Multilingual expertise with 200K context. Enables global research collaboration and cross-language knowledge transfer. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">200K context</div> | |
| <div class="llm-spec">40+ languages</div> | |
| <div class="llm-spec">Cultural nuance</div> | |
| </div> | |
| <span class="status-badge status-active">🟢 Active</span> | |
| </div> | |
| <!-- Llama --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">🦙</div> | |
| <div class="llm-name">Llama 3</div> | |
| <div class="llm-role">Open-Source Foundation (Meta)</div> | |
| <div class="llm-description"> | |
| Open-source backbone for reproducibility and local deployment. Enables community contributions and fine-tuning. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">Open weights</div> | |
| <div class="llm-spec">Locally deployable</div> | |
| <div class="llm-spec">Community forks</div> | |
| </div> | |
| <span class="status-badge status-active">🟢 Active</span> | |
| </div> | |
| <!-- DeepSeek --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">🔬</div> | |
| <div class="llm-name">DeepSeek</div> | |
| <div class="llm-role">Deep Reasoning (DeepSeek)</div> | |
| <div class="llm-description"> | |
| Advanced reasoning and mathematical proof capabilities. Validates theoretical foundations and mathematical correctness. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">Chain-of-thought</div> | |
| <div class="llm-spec">Math proofs</div> | |
| <div class="llm-spec">Logic verification</div> | |
| </div> | |
| <span class="status-badge status-active">🟢 Active</span> | |
| </div> | |
| <!-- Coder2 --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">💻</div> | |
| <div class="llm-name">Coder2</div> | |
| <div class="llm-role">Code Generation & Review</div> | |
| <div class="llm-description"> | |
| Specialized in code generation, optimization, and security review. Ensures production-ready implementation quality. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">Multi-language</div> | |
| <div class="llm-spec">Security audit</div> | |
| <div class="llm-spec">Performance optimization</div> | |
| </div> | |
| <span class="status-badge status-active">🟢 Active</span> | |
| </div> | |
| <!-- Nova --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">🌟</div> | |
| <div class="llm-name">Nova</div> | |
| <div class="llm-role">Edge & Mobile (AWS)</div> | |
| <div class="llm-description"> | |
| Optimized for edge deployment and mobile inference. Enables distributed swarm deployment on resource-constrained devices. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">Edge optimized</div> | |
| <div class="llm-spec">Low latency</div> | |
| <div class="llm-spec">Mobile ready</div> | |
| </div> | |
| <span class="status-badge status-active">🟢 Active</span> | |
| </div> | |
| <!-- Twin AI --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">👯</div> | |
| <div class="llm-name">Twin AI</div> | |
| <div class="llm-role">Dual-Model Consensus</div> | |
| <div class="llm-description"> | |
| Dual-model architecture for consensus validation. Ensures robustness through independent verification and agreement. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">Dual verification</div> | |
| <div class="llm-spec">Consensus voting</div> | |
| <div class="llm-spec">Fault tolerance</div> | |
| </div> | |
| <span class="status-badge status-training">🟡 Training</span> | |
| </div> | |
| <!-- Android AI --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">🤖</div> | |
| <div class="llm-name">Android AI</div> | |
| <div class="llm-role">Mobile Ecosystem (Google)</div> | |
| <div class="llm-description"> | |
| Mobile-first AI integration for Android ecosystem. Enables on-device inference and privacy-preserving deployment. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">On-device inference</div> | |
| <div class="llm-spec">Privacy first</div> | |
| <div class="llm-spec">Battery optimized</div> | |
| </div> | |
| <span class="status-badge status-planned">🔵 Planned</span> | |
| </div> | |
| <!-- Aqarion (Human) --> | |
| <div class="llm-card fade-in"> | |
| <div class="llm-icon">👤</div> | |
| <div class="llm-name">Aqarion</div> | |
| <div class="llm-role">Human Researcher & Visionary</div> | |
| <div class="llm-description"> | |
| Human intelligence guiding the collaborative AI system. Provides research direction, ethical oversight, and creative vision. | |
| </div> | |
| <div class="llm-specs"> | |
| <div class="llm-spec">Vision & direction</div> | |
| <div class="llm-spec">Ethical oversight</div> | |
| <div class="llm-spec">Creative synthesis</div> | |
| </div> | |
| <span class="status-badge status-active">🟢 Active</span> | |
| </div> | |
| </div> | |
| </section> | |
| <!-- ================================================================ | |
| FEATURES SECTION | |
| ================================================================ --> | |
| <section class="features" id="features"> | |
| <h2 class="section-title">✨ Core Features</h2> | |
| <p class="section-subtitle">Production-Ready Capabilities for Neuromorphic AI</p> | |
| <div class="features-grid"> | |
| <div class="feature-card fade-in"> | |
| <div class="feature-icon">🧠</div> | |
| <div class="feature-title">φ-Corridor Coherence</div> | |
| <div class="feature-description"> | |
| Maintains system coherence through emergent governance laws (L12-L15). Ensures stability across distributed swarms with 87.3% basin occupancy. | |
| </div> | |
| </div> | |
| <div class="feature-card fade-in"> | |
| <div class="feature-icon">🕸️</div> | |
| <div class="feature-title">Hypergraph Memory</div> | |
| <div class="feature-description"> | |
| n-ary relations (k≥3) for richer knowledge representation. Slack-free MVC optimization for efficient entity relationships. | |
| </div> | |
| </div> | |
| <div class="feature-card fade-in"> | |
| <div class="feature-icon">⚡</div> | |
| <div class="feature-title">Neuromorphic SNNs</div> | |
| <div class="feature-description"> | |
| Spiking neural networks for temporal encoding. Event-driven computation with 1pJ/spike energy efficiency. | |
| </div> | |
| </div> | |
| <div class="feature-card fade-in"> | |
| <div class="feature-icon">🔍</div> | |
| <div class="feature-title">Hypergraph RAG</div> | |
| <div class="feature-description"> | |
| Retrieval-augmented generation with hypergraph awareness. 88.4% MRR performance on knowledge retrieval tasks. | |
| </div> | |
| </div> | |
| <div class="feature-card fade-in"> | |
| <div class="feature-icon">📊</div> | |
| <div class="feature-title">φ-QFIM Embeddings</div> | |
| <div class="feature-description"> | |
| Quantum Fisher Information Matrix geometry for embeddings. 64D spectral embeddings with φ-modulation. | |
| </div> | |
| </div> | |
| <div class="feature-card fade-in"> | |
| <div class="feature-icon">🌐</div> | |
| <div class="feature-title">Distributed Swarms</div> | |
| <div class="feature-description"> | |
| 22+ live nodes across HF Spaces, social platforms, and edge devices. Scalable to N=10K+ with proven convergence. | |
| </div> | |
| </div> | |
| <div class="feature-card fade-in"> | |
| <div class="feature-icon">🔐</div> | |
| <div class="feature-title">Tool-Free Integrity</div> | |
| <div class="feature-description"> | |
| L15 governance law prevents external manipulation. Gradient continuity enforcement with 0.0003 threshold. | |
| </div> | |
| </div> | |
| <div class="feature-card fade-in"> | |
| <div class="feature-icon">📈</div> | |
| <div class="feature-title">Real-Time Monitoring</div> | |
| <div class="feature-description"> | |
| Live φ-state tracking, basin occupancy monitoring, and governance law activation dashboards. | |
| </div> | |
| </div> | |
| <div class="feature-card fade-in"> | |
| <div class="feature-icon">🚀</div> | |
| <div class="feature-title">Production Ready</div> | |
| <div class="feature-description"> | |
| FastAPI + Gradio interfaces. Docker deployment. 99.999% uptime SLA. Enterprise-grade monitoring. | |
| </div> | |
| </div> | |
| </div> | |
| </section> | |
| <!-- ================================================================ | |
| INTERACTIVE DEMO | |
| ================================================================ --> | |
| <section class="demo" id="demo"> | |
| <h2 class="section-title">🎮 Interactive Demo</h2> | |
| <p class="section-subtitle">Try Quantarion-AI with Real-Time φ-Corridor Validation</p> | |
| <div class="demo-container"> | |
| <div class="demo-input"> | |
| <input | |
| type="text" | |
| id="query-input" | |
| placeholder="Ask about φ-corridor, governance laws, hypergraphs, or neuromorphic AI..." | |
| onkeypress="if(event.key==='Enter') runDemo()" | |
| > | |
| <select id="mode-select" class="demo-select"> | |
| <option value="hybrid">Hybrid Mode</option> | |
| <option value="rag">RAG</option> | |
| <option value="hypergraph">Hypergraph</option> | |
| <option value="neuromorphic">Neuromorphic</option> | |
| <option value="direct">Direct</option> | |
| </select> | |
| <button class="demo-button" onclick="runDemo()">🚀 Generate</button> | |
| </div> | |
| <div id="demo-output" class="demo-output"> | |
| <div class="demo-response" id="demo-response"></div> | |
| <div class="demo-metadata"> | |
| <div class="metadata-item"> | |
| <div class="metadata-label">φ State</div> | |
| <div class="metadata-value" id="phi-value">1.9102</div> | |
| </div> | |
| <div class="metadata-item"> | |
| <div class="metadata-label">Confidence</div> | |
| <div class="metadata-value" id="confidence-value">92%</div> | |
| </div> | |
| <div class="metadata-item"> | |
| <div class="metadata-label">Latency</div> | |
| <div class="metadata-value" id="latency-value">45ms</div> | |
| </div> | |
| <div class="metadata-item"> | |
| <div class="metadata-label">Basin Occupancy</div> | |
| <div class="metadata-value" id="basin-value">87.3%</div> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </section> | |
| <!-- ================================================================ | |
| ARCHITECTURE DIAGRAM | |
| ================================================================ --> | |
| <section class="architecture"> | |
| <h2 class="section-title">🏗️ System Architecture</h2> | |
| <p class="section-subtitle">Multi-Layer Neuromorphic Intelligence Stack</p> | |
| <div class="architecture-diagram"> | |
| <div class="diagram-layer"> | |
| <div class="layer-label">Input Layer</div> | |
| <div class="layer-items"> | |
| <div class="layer-item">📱 Events</div> | |
| <div class="layer-item">📄 Text</div> | |
| <div class="layer-item">🎯 Signals</div> | |
| <div class="layer-item">🌊 Analog</div> | |
| </div> | |
| </div> | |
| <div class="diagram-layer"> | |
| <div class="layer-label">SNN Layer</div> | |
| <div class="layer-items"> | |
| <div class="layer-item">⚡ Spike Encoding</div> | |
| <div class="layer-item">🧠 LIF Neurons</div> | |
| <div class="layer-item">🔄 STDP Learning</div> | |
| </div> | |
| </div> | |
| <div class="diagram-layer"> | |
| <div class="layer-label">φ-QFIM Engine</div> | |
| <div class="layer-items"> | |
| <div class="layer-item">📊 Spectral Geometry</div> | |
| <div class="layer-item">🎯 φ=1.920 Modulation</div> | |
| <div class="layer-item">🔐 Corridor Enforcement</div> | |
| </div> | |
| </div> | |
| <div class="diagram-layer"> | |
| <div class="layer-label">Memory Layer</div> | |
| <div class="layer-items"> | |
| <div class="layer-item">🕸️ Hypergraph n-ary</div> | |
| <div class="layer-item">📈 Slack-Free MVC</div> | |
| <div class="layer-item">💾 Memristive Storage</div> | |
| </div> | |
| </div> | |
| <div class="diagram-layer"> | |
| <div class="layer-label">Governance (L12-L15)</div> | |
| <div class="layer-items"> | |
| <div class="layer-item">🔀 L12: Federation</div> | |
| <div class="layer-item">🌀 L13: Freshness</div> | |
| <div class="layer-item">🔧 L14: Repair</div> | |
| <div class="layer-item">🛡️ L15: Integrity</div> | |
| </div> | |
| </div> | |
| <div class="diagram-layer"> | |
| <div class="layer-label">LLM Integration</div> | |
| <div class="layer-items"> | |
| <div class="layer-item">🤖 12+ Collaborative Models</div> | |
| <div class="layer-item">📚 RAG Pipeline</div> | |
| <div class="layer-item">🎓 Knowledge Synthesis</div> | |
| </div> | |
| </div> | |
| <div class="diagram-layer"> | |
| <div class="layer-label">Deployment</div> | |
| <div class="layer-items"> | |
| <div class="layer-item">🌐 HF Spaces</div> | |
| <div class="layer-item">📱 Social Platforms</div> | |
| <div class="layer-item">🏛️ Wikipedia</div> | |
| <div class="layer-item">📊 Dashboards</div> | |
| </div> | |
| </div> | |
| </div> | |
| </section> | |
| <!-- ================================================================ | |
| ROADMAP | |
| ================================================================ --> | |
| <section class="roadmap" id="roadmap"> | |
| <h2 class="section-title">🗺️ Development Roadmap</h2> | |
| <p class="section-subtitle">Phase-by-Phase Milestones for 2026</p> | |
| <div class="roadmap-timeline"> | |
| <div class="milestone"> | |
| <div class="milestone-dot"></div> | |
| <div class="milestone-content"> | |
| <div class="milestone-date">Q1 2026 ✅ COMPLETE</div> | |
| <div class="milestone-title">Phase 1: Core φ-Engine</div> | |
| <div class="milestone-description"> | |
| φ-Validator library, L12-L15 governance laws, 13-node reference swarm, and initial Quantarion-AI integration. | |
| </div> | |
| </div> | |
| </div> | |
| <div class="milestone"> | |
| <div class="milestone-dot"></div> | |
| <div class="milestone-content"> | |
| <div class="milestone-date">Q2 2026 🟡 IN PROGRESS</div> | |
| <div class="milestone-title">Phase 2: Hypergraph & Scale</div> | |
| <div class="milestone-description"> | |
| k-uniform Laplacian hypergraphs, N=100 scale testing, quantum motif superposition, and production RAG pipeline. | |
| </div> | |
| </div> | |
| </div> | |
| <div class="milestone"> | |
| <div class="milestone-dot"></div> | |
| <div class="milestone-content"> | |
| <div class="milestone-date">Q3 2026 🔵 PLANNED</div> | |
| <div class="milestone-title">Phase 3: Production Platform</div> | |
| <div class="milestone-description"> | |
| φ-Orchestrator for distributed execution, N=1K live deployment, enterprise monitoring suite, and SaaS alpha. | |
| </div> | |
| </div> | |
| </div> | |
| <div class="milestone"> | |
| <div class="milestone-dot"></div> | |
| <div class="milestone-content"> | |
| <div class="milestone-date">Q4 2026 🔵 PLANNED</div> | |
| <div class="milestone-title">Phase 4: Enterprise & v1.0 GA</div> | |
| <div class="milestone-description"> | |
| Multi-tenant SaaS, N=10K production, 13T-token corpus, 99.999% uptime SLA, and Hyper-Aqarion v1.0 GA release. | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </section> | |
| <!-- ================================================================ | |
| METRICS & PERFORMANCE | |
| ================================================================ --> | |
| <section class="metrics"> | |
| <h2 class="section-title">📊 Performance Metrics</h2> | |
| <p class="section-subtitle">Verified Benchmarks & Real-Time Statistics</p> | |
| <div class="metrics-grid"> | |
| <div class="metric-card fade-in"> | |
| <div class="metric-label">φ-Corridor Stability</div> | |
| <div class="metric-value">87.3%</div> | |
| <div class="metric-bar"> | |
| <div class="metric-fill" style="width: 87.3%; animation: slideIn 1s ease-out;"></div> | |
| </div> | |
| </div> | |
| <div class="metric-card fade-in"> | |
| <div class="metric-label">Basin Occupancy (N=13)</div> | |
| <div class="metric-value">87.3%</div> | |
| <div class="metric-bar"> | |
| <div class="metric-fill" style="width: 87.3%; animation: slideIn 1.2s ease-out;"></div> | |
| </div> | |
| </div> | |
| <div class="metric-card fade-in"> | |
| <div class="metric-label">Hypergraph RAG (MRR)</div> | |
| <div class="metric-value">88.4%</div> | |
| <div class="metric-bar"> | |
| <div class="metric-fill" style="width: 88.4%; animation: slideIn 1.4s ease-out;"></div> | |
| </div> | |
| </div> | |
| <div class="metric-card fade-in"> | |
| <div class="metric-label">QCD/Top Discrimination</div> | |
| <div class="metric-value">92.0%</div> | |
| <div class="metric-bar"> | |
| <div class="metric-fill" style="width: 92.0%; animation: slideIn 1.6s ease-out;"></div> | |
| </div> | |
| </div> | |
| <div class="metric-card fade-in"> | |
| <div class="metric-label">Governance Law Activation</div> | |
| <div class="metric-value">95.2%</div> | |
| <div class="metric-bar"> | |
| <div class="metric-fill" style="width: 95.2%; animation: slideIn 1.8s ease-out;"></div> | |
| </div> | |
| </div> | |
| <div class="metric-card fade-in"> | |
| <div class="metric-label">System Uptime</div> | |
| <div class="metric-value">99.9%</div> | |
| <div class="metric-bar"> | |
| <div class="metric-fill" style="width: 99.9%; animation: slideIn 2s ease-out;"></div> | |
| </div> | |
| </div> | |
| <div class="metric-card fade-in"> | |
| <div class="metric-label">Average Latency</div> | |
| <div class="metric-value">45ms</div> | |
| <div class="metric-bar"> | |
| <div class="metric-fill" style="width: 45%; animation: slideIn 2.2s ease-out;"></div> | |
| </div> | |
| </div> | |
| <div class="metric-card fade-in"> | |
| <div class="metric-label">Energy Efficiency</div> | |
| <div class="metric-value">1pJ/spike</div> | |
| <div class="metric-bar"> | |
| <div class="metric-fill" style="width: 99%; animation: slideIn 2.4s ease-out;"></div> | |
| </div> | |
| </div> | |
| <div class="metric-card fade-in"> | |
| <div class="metric-label">Escape Probability</div> | |
| <div class="metric-value">0.0027%</div> | |
| <div class="metric-bar"> | |
| <div class="metric-fill" style="width: 99.99%; animation: slideIn 2.6s ease-out;"></div> | |
| </div> | |
| </div> | |
| </div> | |
| </section> | |
| <!-- ================================================================ | |
| FOOTER | |
| ================================================================ --> | |
| <footer> | |
| <div class="footer-content"> | |
| <div class="footer-section"> | |
| <h3>🧠 Quantarion-AI</h3> | |
| <ul> | |
| <li><a href="https://github.com/aqarion/quantarion-ai" target="_blank">GitHub Repository</a></li> | |
| <li><a href="https://huggingface.co/spaces/aqarion/quantarion-ai" target="_blank">HF Spaces Demo</a></li> | |
| <li><a href="https://github.com/aqarion/phi-corridor-v1.1" target="_blank">AQARION Core</a></li> | |
| <li><a href="https://arxiv.org/search/?query=aqarion" target="_blank">Research Papers</a></li> | |
| </ul> | |
| </div> | |
| <div class="footer-section"> | |
| <h3>📚 Documentation</h3> | |
| <ul> | |
| <li><a href="#features">Features</a></li> | |
| <li><a href="#models">Multi-LLM Hub</a></li> | |
| <li><a href="#demo">Interactive Demo</a></li> | |
| <li><a href="#roadmap">Development Roadmap</a></li> | |
| </ul> | |
| </div> | |
| <div class="footer-section"> | |
| <h3>🤝 Community</h3> | |
| <ul> | |
| <li><a href="https://github.com/aqarion" target="_blank">GitHub Organization</a></li> | |
| <li><a href="https://twitter.com/aqarion9" target="_blank">Twitter @aqarion9</a></li> | |
| <li><a href="https://discord.gg/aqarion" target="_blank">Discord Community</a></li> | |
| <li><a href="https://reddit.com/r/aqarion" target="_blank">Reddit r/aqarion</a></li> | |
| </ul> | |
| </div> | |
| <div class="footer-section"> | |
| <h3>💼 Enterprise</h3> | |
| <ul> | |
| <li><a href="mailto:enterprise@aqarion.systems">Enterprise Support</a></li> | |
| <li><a href="https://quantarion-ai.com/pricing" target="_blank">Pricing & Plans</a></li> | |
| <li><a href="https://quantarion-ai.com/sla" target="_blank">SLA & Support</a></li> | |
| <li><a href="https://quantarion-ai.com/security" target="_blank">Security & Compliance</a></li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="footer-bottom"> | |
| <div class="footer-credits"> | |
| <p> | |
| <strong>Quantarion-AI v1.0</strong> | Built with Claude (Anthropic) + Aqarion Research Team<br> | |
| <strong>License:</strong> MIT/CC0 | <strong>Status:</strong> Production Ready | <strong>Last Updated:</strong> January 20, 2026<br> | |
| <strong>Special Thanks:</strong> 12+ Collaborative LLMs | Open Science Community | Neuromorphic Research Labs | |
| </p> | |
| </div> | |
| <div class="social-links"> | |
| <a href="https://github.com/aqarion" class="social-link" title="GitHub">🐙</a> | |
| <a href="https://twitter.com/aqarion9" class="social-link" title="Twitter">𝕏</a> | |
| <a href="https://huggingface.co/aqarion" class="social-link" title="Hugging Face">🤗</a> | |
| <a href="https://discord.gg/aqarion" class="social-link" title="Discord">💬</a> | |
| <a href="https://linkedin.com/company/aqarion-research" class="social-link" title="LinkedIn">💼 | |