World's Best AI Company Researcher for Pre-Meeting Forensic Intelligence. Deconstruct any company to the atomic level before walking into high-stakes executive meetings, sales pitches, investment reviews, or strategic partnership negotiations.
| Pillar | Focus Areas | Forensic Capabilities |
|---|---|---|
| 1. Basic Company DNA | Founders, Leadership, HQ, Size, Industry, Age | Extracts legal entity, founder pedigrees, executive organogram, headcount growth rates, and history. |
| 2. Business & Monetization | What they sell, Who buys, Revenue model, Clients | Maps core offerings, ICP & buyer personas, pricing tiers, enterprise logos, and ARR estimates. |
| 3. Product & User Sentiment | Current products, Roadmap, Weaknesses, Complaints | Mines public roadmaps, architectural bottlenecks, and real user complaints from G2, Reddit, and Trustpilot. |
| 4. Technology & AI Detective | Tech stack, AI usage, APIs, Infra, Automation | Detects frontend/backend/cloud frameworks, live LLM integrations, API protocols (REST/GraphQL), and DevOps. |
| 5. Strategy & Expansion | Launches, Partnerships, Hiring, Funding, M&A | Tracks 2024–2026 releases, alliances, open hiring signals, total capital raised, cap table, and M&A deals. |
| 6. Competitive Landscape | Battlecard, Moats, Where they lag behind | Identifies direct/indirect competitors, defensible USPs, and deal-breaking vulnerability gaps. |
| 7. Pre-Meeting Intelligence | Icebreakers, Talking points, Landmines, 10x Questions | Generates tailored executive icebreakers, landmine warnings on what NOT to say, and high-IQ deep questions. |
- LLM Engine: NVIDIA NIM (
https://integrate.api.nvidia.com/v1) usingmeta/llama-3.1-70b-instructandmeta/llama-3.1-8b-instruct. - Scraping Swarm:
- Firecrawl API / MCP: Clean markdown web crawling and recursive sub-page discovery.
- Playwright Headless Scraper: JavaScript DOM hydration, single-page application rendering, and screenshot capture.
- Multi-Query Web Search: Parallel multi-dimensional search aggregator.
- Tech Signature Detector: Automated HTML, HTTP headers, CDN, and DNS signature analyzer.
- Frontend Dashboard: Vite + React 19 + TypeScript + Cyber-Executive Glassmorphic Dark UI + Real-Time SSE Terminal.
- Storage: SQLite Database (
researcher.db) for caching, history, side-by-side comparison, and 1-click PDF/Markdown exports.
python run.py(Or double-click start.bat on Windows)
Backend:
cd backend
.\venv\Scripts\uvicorn app.main:app --host 0.0.0.0 --port 8000 --reloadFrontend:
cd frontend
npm run devOpen your browser at http://localhost:5173.
The project includes mcp_config.json configured for:
firecrawl-mcp: Clean markdown extraction and web crawling.@executeautomation/playwright-mcp-server: Dynamic browser automation.
POST /api/research/stream: Real-time Server-Sent Events (SSE) stream for live agent execution logs and final report.POST /api/research/sync: Synchronous execution returning full structured JSON report.GET /api/dossiers: List all saved company dossiers in SQLite.GET /api/dossiers/{id}: Fetch complete dossier by ID.GET /api/export/{id}/markdown: Generate and download formatted markdown briefing.GET /api/models: List available NVIDIA NIM models.GET /api/mcp/status: Check Firecrawl and Playwright MCP server statuses.