How Bretton AI is Modernizing AML & KYC Staffing

Bretton AI, helping the $30T financial services market move faster while protecting against financial crimes that fund terrorism, human trafficking, and other serious threats, led by Will Lawrence and the team, has raised a $75M Series B funding round led by Sapphire Ventures, with continued investment from all existing institutional investors, including Greylock, Y Combinator, Thomson Reuters Ventures, and Canvas Ventures, and new investor TIAA Ventures. The company updated its name from Greenlite AI to Bretton AI.

Raised less than a year after the Series A, this funding reflects strong team execution, clear customer results, and growing validation of the mission to transform how financial institutions staff regulated work.

Financial institutions face rising compliance costs and growing customer expectations, while traditional staffing models remain slow and expensive. Bretton AI introduces a new approach where AI agents work alongside human analysts to deliver faster, higher-quality compliance at scale.

Financial Crime: AI’s Breakout Use Case

Financial crime is high-volume and complex, making it ideal for AI agents. Bretton AI works within existing compliance systems to complete investigations in minutes, delivering clear ROI.

Results:

• $15B+ bank cut $5.35M in BPO spend in Year 1

• Fortune 500 reduced onboarding time by 50%

• FDIC bank cut loan origination time by 90%

Demand is accelerating across major banks and leading fintech platforms.

Trust and Transparency at the Core

Bretton AI was built to handle regulated work in production from day one. Each agent runs on a proprietary Trust Infrastructure with model risk management, continuous evaluations, and rigorous quality testing, ensuring deployments are audit-ready and aligned with regulators from the start.

Why Bretton?

What began as a solution for compliance alerts evolved into something larger: agents are not just tools, but a new operating model for financial institutions. Supporting that shift requires trusted infrastructure capable of powering agents across any regulated use case.

The name Bretton AI draws inspiration from Bretton Woods, the agreement that shaped decades of global financial stability and expansion. AI represents a similar inflection point today, offering the potential to transform financial services at scale.

Realizing that potential requires a new standard built on rigor, transparency, and trust. Bretton AI aims to be that foundation.