There is a moment in every regulated industry where the room goes quiet. Not because something broke, but because something finally works. That is the moment Bretton AI just walked into.
Greenlite AI grew up fast, learned the hard lessons, and came back with a new name that knows exactly what it is aiming at. Bretton AI is not subtle. It is a declaration. Bretton Woods energy. Standards, trust, accountability. The kind of infrastructure nobody cheers for until it disappears, and then everyone panics.
Will Lawrence, CEO, and Alex Jin, Co-founder, did not wander into financial crime from the sidelines. This is lived experience. Payments, identity, compliance, machine learning, scale. The kind of background that teaches you where the bodies are buried and which processes waste the most human time while pretending they are necessary. Bretton AI was built for that mess, not a demo day.
The $75M Series B, led by Sapphire Ventures with Greylock, Thomson Reuters Ventures, Canvas Ventures, Y Combinator, and new participation from TIAA Ventures, is less about capital and more about confirmation. Rajeev Dham joining the board signals where this goes next. Serious institutions, serious governance, serious expectations.
The numbers tell the story without yelling. Over 1.2M L1 and L2 investigations already done in production. Customers representing more than $1T in combined market cap, up from $150B a year ago. 5 new public companies signed in the last year alone. Average contract value climbing from $25K at seed to $201K at Series B. That is not hype velocity. That is operational gravity.
What Bretton AI is selling is time. 195,000 hours of it already handed back to teams who were drowning in alerts. More than $10M saved across customers. Investigations that used to take hours now wrapped in minutes, with audit trails regulators can actually live with. Banks regulated by the OCC, FDIC, and Federal Reserve do not experiment for fun. They adopt when trust is earned.
The rebrand matters because names frame expectations. Bretton AI is positioning itself as the standard layer where AI meets financial crime without shortcuts. Agents that browse systems, reason through incomplete data, and log every decision like a seasoned investigator who knows the exam is coming.
If you run compliance, risk, or operations, this is not background noise. This is infrastructure quietly taking the long route so everyone else can move faster. And the people building it understand that the real flex in regulated markets is not speed alone. It is speed that survives scrutiny.
