
DueDiligenceOS is a multi-agent system for commercial real estate. Before a fund buys a building, a group of specialists has to check it. Does the seller really own it, is it zoned for the buyer's use, is the land polluted, is the structure sound, can it be insured, and do the numbers work. Today each expert does their part separately, over email and PDFs, and it takes weeks. Their findings also affect each other, so one missed link can cost the buyer after the deal closes. We turned that committee into eight AI agents that share one Band room. Five in TypeScript. Three are in Python services that run seeded Monte-Carlo simulations. Through Band, the agents read each other's work, settle disagreements between any two of them, pass tasks around, and call in a specialist when a deal needs one. The money figures run in code, not a model, so they come out the same every time. At the end, one agent writes a red, yellow, or green memo for a person to approve, and Band keeps the whole run on record so anyone can replay it.
19 Jun 2026