Multi-Agent AI Framework for Venture Capital Due Diligence
A new automated system has been introduced to enhance corporate due diligence and market analysis within the venture capital sector. This innovative tool leverages an event-driven orchestration model that integrates Large Language Models with live web information, transforming unstructured data into actionable investment insights. A significant technological advancement includes reverse-engineering the communication of the Greek Business Registry's frontend and backend, allowing for the retrieval of official financial documents through dynamic endpoints. Additionally, a layout-sensitive OCR extractor ensures accurate processing, while a structural fallback mechanism identifies missing information to minimize reliance on unverified data. All resources are accessible for replication.
Key facts
- Fully automated multi-agent framework for venture capital due diligence
- Event-driven orchestration architecture combining LLMs with real-time web retrieval
- Programmatic extraction pipeline reverse-engineers Greek Business Registry communication
- Layout-aware OCR extractor parses official financial filings
- Structural fallback mechanism flags data absence to prevent hallucination
- All workflow artifacts are publicly available
- System synthesizes unstructured data into structured investment intelligence
- Targets corporate due diligence and market analysis
Entities
Institutions
- Greek Business Registry
Locations
- Greece