Bretton AI Raises $75 Million To Expand Financial Crime Automation
•February 10, 2026
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Why It Matters
The infusion of $75 million accelerates deployment of trusted AI in financial crime prevention, helping institutions cut costly manual processes while satisfying tightening regulator scrutiny. This signals a broader shift toward AI‑centric compliance solutions across the regulated finance sector.
Key Takeaways
- •Raised $75M Series B led by Sapphire Ventures
- •AI agents automate KYC, AML, sanctions investigations
- •Contract values rose from $25K to $201K
- •Customers saved over $10M and 195k compliance hours
- •Platform offers audit‑ready, explainable AI trust infrastructure
Pulse Analysis
The rise of sophisticated financial crime has pushed banks and fintechs to seek faster, more reliable detection tools. Artificial intelligence, especially autonomous agents, offers the ability to sift through massive transaction streams and unstructured data far quicker than traditional manual reviews. Bretton AI leverages this trend by positioning its platform as core infrastructure for regulated institutions, promising minutes‑long investigations instead of days. By integrating directly with existing compliance stacks, the company addresses a critical bottleneck where regulatory pressure and operational cost pressures intersect.
The fresh $75 million Series B, led by Sapphire Ventures and joined by TIAA Ventures, gives Bretton AI the runway to deepen its Trust Infrastructure—a suite that blends regulatory rule sets, model‑risk management, continuous AI evaluation, and rigorous quality checks. This framework delivers audit‑ready, explainable outputs that satisfy OCC, FDIC and Federal Reserve oversight. Customers such as Robinhood, Mercury and several community banks have already reported average contract values climbing to $201 k and cost savings exceeding $10 million, while cutting more than 195 k hours of manual compliance work. These metrics underscore the platform’s scalability and tangible ROI.
Beyond Bretton AI, the infusion of capital into AI‑driven compliance signals a broader industry pivot toward automation under heightened regulatory scrutiny. As banks confront mounting AML and KYC obligations, solutions that combine speed, consistency and explainability become strategic differentiators. Competitors are racing to embed similar trust layers, but Bretton AI’s early traction with systemically important institutions gives it a defensible foothold. Continued investment in product development and go‑to‑market teams is likely to accelerate adoption, potentially reshaping the compliance landscape and setting new standards for AI accountability in finance.
Bretton AI Raises $75 Million To Expand Financial Crime Automation
Bretton AI Secures New Funding To Accelerate Compliance Automation
Bretton AI has raised $75 million in a Series B round as demand grows for AI systems that support financial crime operations. The company was previously known as Greenlite AI. The rebrand marks its move into a broader role across regulated institutions.
The round was led by Sapphire Ventures. Existing investors Greylock, Thomson Reuters Ventures, Canvas Ventures, and Y Combinator joined again. New investor TIAA Ventures also took part. Sapphire Ventures partner Rajeev Dham has joined the company’s board.
The raise comes less than a year after its Series A. Bretton AI continues to gain traction among banks and platforms regulated by the OCC, FDIC, and Federal Reserve. Customers include Robinhood, Mercury, Gusto, Lead Bank, and Coastal Community Bank.
Demand Rises For AI Agents In Financial Crime Workflows
Bretton AI builds AI agents that handle high-volume financial crime tasks. These tasks include KYC and KYB reviews. They also include AML and sanctions investigations. The agents support ongoing monitoring as well.
CEO Will Lawrence said financial crime has become the leading use case for AI in regulated finance. He said the work is complex. He said it is unstructured and heavily scrutinised. He added that AI agents can operate safely when built with the right foundations.
The company’s Trust Infrastructure is central to its platform. It combines regulatory rules, model risk management, ongoing AI evaluation, and strict quality checks. This gives institutions confidence to deploy AI that is audit-ready and explainable.
Bretton AI’s agents work across many tools and data sources. They reason over incomplete information. They complete investigations in minutes. This speed reduces operational costs. It also improves consistency and strengthens risk decisions.
Customer Growth, Performance Gains, And Rising Contract Value
The company has seen rapid growth since its Series A. Customers now include systemically important financial institutions. The market capitalisation of companies using Bretton AI has grown from $150 billion to more than $1 trillion within a year.
Five publicly traded companies joined as customers in 2025. Average contract value has increased from $85,000 in 2025 to $201,000 today. At Seed stage in 2023, it was $25,000. This shows deeper adoption and stronger long-term commitments.
Bretton AI has helped customers save more than $10 million in compliance costs. It has also cut more than 195,000 hours of manual work. Its agents have completed more than 1.2 million L1 and L2 investigations.
Individual customers report strong gains. A financial institution worth more than $15 billion reduced its BPO costs by $5.35 million. A Fortune 500 firm cut onboarding time for institutional clients by 50 percent. An FDIC-regulated bank reduced loan timelines by up to 90 percent.
Leaders say the platform has become a force multiplier. They also say it improves consistency and strengthens risk posture.
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Rebrand Reflects A Larger Mission Across Regulated Finance
The firm rebranded from Greenlite AI to Bretton AI as it expanded its mission. The name refers to Bretton Woods, the global agreement that shaped the modern financial system. The company says AI marks a similar shift for today’s institutions.
Lawrence said Greenlite AI proved that trusted AI agents could operate in compliance. Bretton AI now aims to define how AI should run across regulated financial institutions. He said banks face rising regulatory pressure as they try to scale. He added that manual compliance work slows innovation.
He said the industry needs AI systems built for regulatory accountability. He added that the opportunity to support institutions without weakening trust is significant.
The new funding will expand the platform. The company will deepen regulatory engagement. It will also support larger institutions and add more financial crime domains. Investment in product and go-to-market teams will continue.
Bretton AI remains based in San Francisco. It works with global institutions. Its platform is becoming core infrastructure for regulated finance.
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The post Bretton AI Raises $75 Million To Expand Financial Crime Automation appeared first on Ventureburn.
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