AI-native infrastructure for buying and owning pieces of private companies.

Private markets are the largest pool of interesting assets on earth and the worst tooled. Origination lives with bankers and brokers, distribution lives on syndicate and crowdfunding platforms, diligence lives in inboxes, and ownership ends up split between cap-table software and a folder of PDFs. Nothing talks to anything.

Smaller transactions suffer most. A $20M sale carries the same diligence, consents and negotiation as a $2B one, but the economics of a traditional bank don't support putting three analysts on it — so the work either doesn't happen or the founder does it between board meetings. The same gap exists for the investor trying to take a $250K position in a company they understand better than most funds do.

We think that's an infrastructure problem. AI does the analyst work — target and buyer discovery, strategic fit, valuation ranges, diligence summarization, document assembly. Software does the transaction work — allocation, subscriptions, closings, distributions, ownership records. People keep positioning, relationships, negotiation and structuring, because that's where outcomes are actually decided.

The result is one system for discovery, diligence, execution, distribution and ownership: Robinhood and AngelList meets an AI-native investment bank for private markets.