AI RESEARCH
A Multi-Agent Orchestration Framework for Venture Capital Due Diligence
arXiv CS.AI
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ArXi:2605.13110v1 Announce Type: cross 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 ($\Gamma$. E.