Problem

Bretton AI addresses the costly, manual, and fragmented nature of financial-crime compliance in banks and fintechs. Financial institutions in North America spend more than $60 billion annually on compliance activities such as KYC/KYB, anti-money-laundering reviews, and sanctions monitoring, while investigations remain difficult to scale. Growth compounds the problem: every new market, product, and customer adds compliance, risk, and operational workload, forcing institutions to rely on additional analysts or expensive business-process outsourcing.

The central use case is high-volume financial-crime investigation, particularly L1 and L2 alerts, suspicious-activity reviews, enhanced due diligence, and related regulatory reporting. These workflows require analysts to gather evidence across fragmented systems, apply internal policies consistently, and produce defensible case files. Bretton’s proposition is that AI can absorb the repetitive investigative workload while human investigators concentrate on complex analysis and judgment.

Product / Service

Bretton provides an AI-agent platform for financial-crime and broader financial-back-office operations. It overlays the systems a financial institution already uses, operates on the institution’s own data and policies, and is designed to avoid a rip-and-replace implementation. Its agents gather evidence, analyze customer and transaction information, apply configured policies, and draft complete cases for human approval; each action is logged, cited, and explainable to support audit and regulatory requirements.

The delivery model combines pre-built skills and agents for areas such as enhanced due diligence, transaction monitoring, sanctions, SAR drafting, KYB, fraud, and lending with a natural-language Builder for custom workflows and a Workbench where analysts collaborate with agents. Bretton also offers forward-deployed engineering and managed services to help customers implement the system. The expected benefit is higher throughput without proportional headcount growth: the company reports examples including an 87% reduction in compliance review time, $5.35 million in first-year BPO savings for a $15 billion-plus institution, and 4–9 times greater analyst capacity across its customers.

Market

Bretton competes in regulated-fintech software spanning AML, KYC, financial-crime compliance, fraud, risk operations, and the broader emerging category of AI-native back-office automation. Its competitive set includes AML and identity/risk platforms such as SEON, Pirani, FullCircl, iDenfy, Entrust IDV, Sumsub, and ComplyCube; other market listings also identify Spektr, Diligent, Snap Compliance, and WorkFusion as alternatives. Several of these products are adjacent rather than identical competitors, since Bretton emphasizes end-to-end agentic investigations and audit-ready workflow execution rather than only data, screening, or identity verification.

The company is commercially deployed rather than pre-revenue. Formerly Greenlite AI, Bretton announced a $75 million Series B in February 2026, bringing reported funding above $95 million. Customers and users include Robinhood, Mercury, Gusto, Lead Bank, and Coastal Community Bank, alongside other OCC-, FDIC-, and Federal Reserve-regulated institutions. Bretton reports more than 1.2 million completed financial-crime investigations, 195,000 hours of manual work eliminated, more than $10 million in customer savings and risk reduction, five new publicly traded customers in 2025, and an average customer contract value of $201,000.