A Multi-Agent Orchestration Framework for Venture Capital Due Diligence
We present a fully automated multi-agent framework for corporate due diligence and market analysis in venture capital. The system runs on an event-driven orchestration architecture, combining Large Language Models (LLMs) with real-time web retrieval to synthesize unstructured data into structured investment intelligence. A central technical contribution is a programmatic extraction pipeline that reverse-engineers the frontend-to-backend communication of the Greek Business Registry ($Γ$.E.MH.), querying dynamic endpoints to retrieve official financial filings that are then parsed using a layout-aware OCR extractor. A structural fallback mechanism explicitly flags data absence rather than g...
| Authors | Grigorios Alexandrou, Katerina Pramatari |
|---|---|
| Primary category | cs.MA |
| Published | 13 May 2026 |
| Last updated at source | 13 May 2026 |
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