Boardroom is an AI due diligence copilot that turns a pitch deck into a board-ready briefing in under two minutes. Upload a PDF, an image of a whiteboard, or paste a URL, and six specialized agents spin up to interrogate the inputs in parallel: an Orchestrator parses the materials and dispatches tasks; a Researcher pulls in market context; an Analyst builds the bull case; a Red Team builds the bear case; a Synthesizer fuses them into a confident executive brief with a verdict and a confidence score; and a Verifier audits every claim before it reaches the user. The differentiator is verification. Hallucinations in the M&A domain are not abstract — they cost real money. So every claim in the final brief is extracted and tagged with a role. Analyst claims are grounded against the source deck. Red Team rebuttals are graded against world knowledge, because a sharp critique is supposed to contradict the pitch. External context, like a named regulation or a macroeconomic condition, gets its own knowledge check. The result is an Integrity Score that rises when the Red Team is right rather than falling. On the same CocoaGuard pitch deck, our verifier evolved from flagging correct disease-feasibility analyses as seven-percent-confidence hallucinations to verifying them at ninety-eight percent — purely by understanding which voice was speaking. Under the hood: a Next.js frontend on Vercel, a FastAPI backend running in Docker on Vultr Cloud Compute, and six-agent orchestration through Gemini 3 Pro and Gemini 3 Flash with structured output and live streaming over Server-Sent Events. Caddy fronts the backend; Postgres persists sessions and audit trails. Built for the Vultr and Gemini tracks of the AI Agent Olympics.
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