Bretton AI secures $75 million in Series B funding for financial crime compliance.

dominic Avatar

Bretton AI has secured USD 75 million in Series B funding to expand its AI agent platform for financial crime operations within regulated financial institutions.

Following the announcement, Sapphire Ventures led the round with contributions from existing investors Greylock, Thomson Reuters Ventures, Canvas Ventures, and Y Combinator. TIAA Ventures also joined as a new investor.

Bretton AI’s Platform Deployment in Regulated Institutions

The company’s AI agents are currently operational at banks overseen by the Office of the Comptroller of the Currency (OCC), Federal Deposit Insurance Corporation (FDIC), and the Federal Reserve. These platforms support Know Your Customer (KYC) and Know Your Business (KYB) reviews, anti-money laundering (AML) and sanctions investigations, as well as ongoing monitoring activities.

Bretton AI’s platform is centered on its Trust Infrastructure, a governance system integrating regulatory guidance, model risk management, continuous AI evaluation, and quality assurance. This framework ensures that AI deployments are ready for audits and align with regulatory requirements from the start.

The agents handle investigations across multiple systems and data sources, streamlining what often requires manual coordination of evidence and narratives under regulatory oversight. The company claims that these investigations can now be completed in minutes instead of days, promising significant ROI and consistency in financial crime decision-making.

Expanding into Additional Compliance Domains

Financial institutions are grappling with increasing regulatory scrutiny as they seek to grow their customer bases and launch new products. Manual compliance processes, such as identity verification, transaction investigation, and account monitoring, have become operational bottlenecks for many firms.

The Series B funding will be used to expand Bretton AI’s platform into additional financial crime areas, deepen regulatory engagement, and accelerate adoption among larger and more complex institutions. The company plans to invest in product development and expand its engineering and go-to-market teams.

Compliance remains a significant operational expense for financial services firms, requiring detailed audit trails and adherence to evolving regulatory standards. Deploying AI in this sector necessitates systems specifically designed for regulatory accountability rather than general-purpose automation tools.

Bretton AI’s solution aims to empower compliance teams by automating high-volume, structured workflows that traditionally required extensive manual intervention. The platform’s governance layer is intended to provide the necessary documentation and traceability for both regulatory examinations and internal audit processes.

Latest Posts