--- marp: true theme: default paginate: true backgroundColor: #fff backgroundImage: url('https://marp.app/assets/hero-background.svg') --- # **SPARKNET** ## AI-Powered Patent Valorization System **A Multi-Agent Platform for Technology Transfer** Hamdan November 2025 --- ## **System Architecture & Components** ``` ┌──────────────────── SPARKNET Platform ────────────────────────┐ │ │ │ Frontend (Next.js) ◄────► Backend (FastAPI + LangGraph) │ │ Port 3001 Port 8001 │ │ │ │ │ ┌──────────────────▼─────────────┐ │ │ │ LangGraph State Machine │ │ │ │ Workflow Orchestrator │ │ │ └──────────────┬─────────────────┘ │ │ │ │ │ ┌─────── STARTUP AGENTS (4) ──┴─────────────────────┐ │ │ │ │ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌────────┐ │ │ │ │ Planner │ │ Critic │ │ Memory │ │ Vision │ │ │ │ │ Agent │ │ Agent │ │ Agent │ │ OCR │ │ │ │ │qwen2.5 │ │ mistral │ │ ChromaDB │ │llava:7b│ │ │ │ │ :14b │ │ :latest │ │ Vector │ │ │ │ │ │ └──────────┘ └──────────┘ └──────────┘ └────────┘ │ │ └─────────────────────────────────────────────────────┘ │ │ │ │ ┌──── RUNTIME AGENTS (4) - Created per workflow ────┐ │ │ │ │ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ │Document │ │ Market │ │Matching │ │Outreach │ │ │ │ │Analysis │ │ Analysis │ │ Agent │ │ Agent │ │ │ │ │llama3.1 │ │llama3.1 │ │llama3.1 │ │llama3.1 │ │ │ │ │ :8b │ │ :8b │ │ :8b │ │ :8b │ │ │ │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ │ └─────────────────────────────────────────────────────┘ │ │ │ └─────────────────────────────────────────────────────────────────┘ ``` **Key Components:** 8 Agents • 4 LLM Models • State Machine • Vector Store --- ## **Functional Workflow: Patent Wake-Up Pipeline** ### **Phase 1: Orchestration** 🎯 - **PlannerAgent** (qwen2.5:14b): Decomposes task into executable subtasks - **MemoryAgent** (ChromaDB): Retrieves relevant context from past analyses - LangGraph routes workflow to Patent Wake-Up scenario ### **Phase 2: Sequential Analysis (4-Step Pipeline)** 🤖 **Step 1: Document Analysis** 📄 - **DocumentAnalysisAgent** (llama3.1:8b) + **VisionOCRAgent** (llava:7b) - Extracts text using PyMuPDF, processes images with OCR - Identifies: Title, Abstract, Claims, Technical Domains, TRL Level - Output: Patent Analysis Model with 1+ innovations **Step 2: Market Analysis** 📊 - **MarketAnalysisAgent** (llama3.1:8b) - Analyzes commercialization opportunities based on patent data - Identifies market segments, competitive landscape - Output: 4-5 Market Opportunities with sizing estimates **Step 3: Partner Matching** 🤝 - **MatchmakingAgent** (llama3.1:8b) - Queries MemoryAgent for stakeholder profiles from vector store - Scores matches based on technology alignment - Output: Top 10 potential partners ranked by compatibility **Step 4: Brief Creation** 📝 - **OutreachAgent** (llama3.1:8b) - Generates PDF valorization brief for stakeholder outreach - Includes executive summary, technical details, business case - Output: PDF document ready for distribution ### **Phase 3: Quality Validation** ✅ - **CriticAgent** (mistral:latest): Validates output quality (threshold: 0.80) - Stores successful episodes in MemoryAgent for future learning - Returns results via WebSocket to frontend dashboard --- ## **Live Demonstration & Results** ### **Example Analysis: Toyota Hydrogen Fuel Cell Initiative** | **Metric** | **Result** | |-----------|----------| | **Title** | "Toyota Opens Door to Hydrogen Future" | | **Technical Domains** | Automotive • Clean Energy • Fuel Cells | | **TRL Level** | 8/9 (System Complete & Qualified) | | **Commercialization** | **HIGH** | | **Key Innovations** | • 5,680 patents royalty-free
• High-pressure H₂ storage
• Fuel cell stack optimization | | **Applications** | Hydrogen vehicles • Power systems
Industrial fuel cells | ### **System Status** ✅ - **Performance**: Sub-2 minute analysis per document (117s avg) - **Accuracy**: Multi-model validation with quality score ≥ 0.80 - **Real-time Updates**: WebSocket streaming for live progress - **Deployment**: - Frontend: http://172.24.50.21:3001 - Backend API: http://172.24.50.21:8001 --- ## **Impact & Next Steps** ### **Current Capabilities** ✓ ✅ Automated patent document analysis ✅ Technology readiness assessment (TRL) ✅ Multi-domain commercialization evaluation ✅ Real-time web interface with workflow visualization ### **Value Proposition** **Problem**: Manual patent analysis takes days and requires domain experts **Solution**: SPARKNET reduces analysis time from days to **< 1 minute** **Benefit**: Universities can rapidly assess entire patent portfolios for licensing ### **Future Enhancements** - Batch processing for large patent portfolios - Industry partner matching database - Automated technology brief generation - Integration with patent databases (USPTO, EPO) --- **Thank you!** Questions? **Live Demo URLs:** - Frontend: http://172.24.50.21:3001 - API Documentation: http://172.24.50.21:8001/api/docs - API Health Check: http://172.24.50.21:8001/api/health