Bretton AI Raises $75 Million Series B to Transform Financial Crime Compliance with AI

Bretton AI, a rapidly growing U.S.–based AI compliance and financial crime platform formerly known as Greenlite AI, has successfully raised $75 million in a Series B funding round to accelerate its mission of redefining how regulated financial institutions combat financial crime using artificial intelligence. The round was led by Sapphire Ventures, with continued participation from all existing institutional backers — including Greylock, Thomson Reuters Ventures, Canvas Ventures, Y Combinator — and new investor TIAA Ventures.

Founded in 2023 and headquartered in San Francisco, Bretton AI provides an agentic AI platform that supports compliance teams by automating complex financial crime workflows — from know your customer (KYC) and know your business (KYB) reviews to anti-money laundering (AML) investigations, sanctions checks and ongoing transaction monitoring. Its AI agents operate across disparate systems, reason over incomplete data, and complete investigative tasks in minutes rather than days — delivering faster, more consistent and audit-ready compliance decisions.

The fresh funding will be used to deepen regulatory engagement, expand the platform into additional crime-fighting domains, support product innovation and accelerate adoption among larger and more complex financial institutions. Sapphire Ventures partner Rajeev Dham has also joined Bretton AI’s board of directors as part of the transaction.

Key Highlights

• $75 million Series B funding: Bretton AI secures major capital to grow its AI-driven compliance platform.
• Led by Sapphire Ventures: With ongoing support from Greylock, Thomson Reuters Ventures, Canvas Ventures, Y Combinator and new investor TIAA Ventures.
• Rebrand from Greenlite AI: Reflects evolution from AI tooling provider to a category-defining financial crime AI platform.
• Targeting mission-critical workflows: Includes KYC, KYB, AML, sanctions investigations and ongoing monitoring at regulated banks and fintechs.
• Board addition: Sapphire Ventures’ Rajeev Dham joins Bretton’s board to support scaling and strategy.

What Bretton AI Does and Why It Matters

Financial institutions face immense pressure to detect and prevent financial crime — from fraud and money laundering to sanctions evasion — while also meeting stringent regulatory requirements and ensuring a smooth customer experience. Traditional compliance workflows are highly manual, siloed across systems, and resource intensive, often requiring teams of analysts to piece together evidence and narrative across disparate data sources.

Bretton AI’s agentic AI platform changes that by enabling autonomous AI agents to staff these workflows at scale. Rather than simply flagging anomalies, the platform conducts investigations by reasoning over incomplete data, stitching together insights and generating results that are audit-ready and explainable — a key requirement for highly regulated environments. This effectively elevates compliance teams by automating tedious tasks and allowing human analysts to focus on judgments that require domain expertise.

Bretton’s proprietary Trust Infrastructure embeds regulatory guidance, model risk management and continuous quality assurance into every agent, ensuring alignment with governance and audit standards from day one — an essential differentiator for deploying AI in regulated institutions.

Adoption, Growth and Impact

Since its Series A in May 2025, Bretton AI has rapidly expanded its footprint:

• Expanded customer base: Adoption among top-tier financial institutions has accelerated, including regional banks, fintechs and publicly traded companies.
• Explosion in market footprint: The total market capitalization of firms using Bretton’s platform has grown substantially as usage scales.
• Productivity gains: Customers report significant returns — including operational cost savings, dramatic reductions in investigation timelines and improved consistency in compliance decisions.

For example, some institutions have cut onboarding times nearly in half and reduced manual workflows by tens of thousands of hours, underscoring the real-world impact of AI on compliance operations.

Strategic Vision and Use Cases

AI-powered compliance is emerging as one of the most promising use cases for generative and agentic AI in financial services, because it tackles some of the most complex, unstructured and deeply scrutinised problems in the industry. Bretton AI’s vision is to define the standard for AI deployment inside regulated financial systems, enabling institutions to maintain high compliance standards while scaling innovation and customer offerings.

Use cases include:

• Know Your Customer (KYC) and Know Your Business (KYB) reviews
• Anti-Money Laundering (AML) and sanctions investigations
• Ongoing transaction monitoring and risk scoring
• Enhanced due diligence for high-risk clients
  These tasks traditionally require large teams and lengthy processes, but Bretton AI’s agents complete them efficiently and consistently with regulatory oversight in mind.

What This Means for Financial Institutions

The $75 million Series B signals growing confidence from investors in AI as a core component of compliance infrastructure — a function that is critical for banks, fintechs and regulated platforms. By automating high-volume, high-scrutiny workflows, firms can reduce operational costs, improve regulatory outcomes and reallocate human talent to strategic tasks.

At the same time, Bretton’s focus on trust, governance and auditability positions it to help institutions deploy AI in a way that satisfies strict regulatory requirements — a major barrier for many organisations exploring AI.

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