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| <!-- _class: lead --> |
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| # **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<br>• High-pressure H₂ storage<br>• Fuel cell stack optimization | |
| | **Applications** | Hydrogen vehicles • Power systems<br>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 |
| |
| --- |
| |
| <!-- _class: lead --> |
|
|
| ## **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 |
|
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