We built an AI agent that automates due diligence for IPO filings.
Upload any filing, and it returns a risk-focused investment memo with every figure verified against the source.
How it works:
extracts clean text and complex tables directly from the PDF
generates a structured risk analysis highlighting key findings
validates every metric through code execution before returning the final report
Built with @LangChain, @e2b, and @unsiloed_ai.
Code below.
Parsing complex PDFs shouldn't slow down coding agents.
So we built an open-source OCR + document processing CLI that can:
• accurately extract merged cells, multi-page tables, and row-level footnotes
• return clean structured JSON with confidence scores for every extracted field
• automatically detect, classify, and split multiple documents from a single file
In the demo, we process NVIDIA's 10-K and retrieve information spanning multiple pages. In under a minute, it returns the exact values, confidence scores, and page citations.
Powered by @unsiloed_ai + @LangChain
Repo: https://t.co/TjqCYrJ5gq