docs/SPARKNET_Slides.md

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SPARKNET

AI-Powered Patent Valorization System

A Multi-Agent Platform for Technology Transfer

Hamdan November 2025

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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

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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

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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

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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)

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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