Key Takeaways
- Bretton AI (formerly Greenlite AI) raised $75 million in Series B funding led by Sapphire Ventures, with Rajeev Dham joining the board.
- The San Francisco-based company rebranded to reflect its evolution into a full agentic AI platform for financial crime compliance, including AML, KYC, sanctions, and transaction monitoring.
- Deployed at scale, its agents have completed over 1.2 million L1/L2 investigations, saving clients $10M+ in costs and 195,000+ manual hours.
- Customers report 70% faster EDD queues, $5.35M BPO savings, and 90% reduced loan timelines.
Quick Recap
Bretton AI, previously Greenlite AI, announced a $75 million Series B funding round on February 10, 2026, led by Sapphire Ventures, coinciding with its rebrand as the agentic AI platform for financial crime compliance.
Founded in 2023 and headquartered in San Francisco, the company automates workflows like transaction monitoring, KYC/KYB reviews, AML investigations, and sanctions screening within existing systems. The official announcement came via their X (Twitter) account and press releases, highlighting production-scale deployments in regulated institutions.
Funding and Platform Details
Sapphire Ventures led the round, with the investment fueling expansion of Bretton AI’s “trust infrastructure” that embeds U.S. banking guidelines for auditable AI agents. These agents replicate human workflows browsing internal/external sources, leveraging advanced reasoning models, and integrating with popular compliance tools without requiring system overhauls.
Financial impacts include average contract values rising to $201,000 from $85,000 at Series A, with new customers among five publicly traded firms; one $15B+ institution cut BPO spend by $5.35M in year one. The platform supports triage of L1 alerts, L2 cases, enhanced due diligence (EDD), PEP/adverse media screening, and custom agents, delivering 70% EDD queue reductions for users like OCC-regulated banks.
Rising AI Demand in FinCrime
Financial crime compliance faces exploding volumes, with institutions needing scalable AI amid regulatory scrutiny from OCC, FDIC, and Fed. Bretton AI’s timing aligns with agentic AI breakthroughs, as criminals exploit complex schemes; its production proofs differentiate it in a market shifting from tools to governed platforms.
Competitors like Hawk AI and Flagright also push AI-native solutions, but Bretton emphasizes agentic automation in high-stakes environments, amid trends like 2025’s $56M Hawk Series C and Resistant AI’s $25M raise for fraud-resilient models.
Competitive Landscape
| Feature/Metric | Bretton AI | Hawk AI | Flagright |
| Context Window | Large (agentic workflows) | Medium (typology-focused) | Large (real-time monitoring) |
| Pricing per 1M Tokens | Custom enterprise (~$200K ACV) markets | Subscription (cost savings 70%) | Usage-based (93% false positive reduction) |
| Multimodal Support | Yes (docs, transactions, browsing) | Yes (transactions, screening) hawk | Yes (screening, investigations) |
| Agentic Capabilities | Advanced (1.2M+ investigations, audit-ready) | Strong (explainable AI, auto-closing) | Strong (AI forensics, no-code rules) |
Bretton AI leads in agentic capabilities with proven scale across 1.2M+ investigations and deep governance for regulated use. Hawk AI excels in cost efficiency via 70% resource reductions, while Flagright wins on false positive cuts for real-time monitoring.
Bayelsa Watch’s Takeaway
In my experience covering AI infrastructure and regulatory technology, I think this is a meaningful development for the compliance automation space. Raising $75 million at the Series B stage signals that investors believe financial crime compliance is not just a niche market but a structural, long-term demand category.
I see the rebranding as a strategic move. Shifting from Greenlite AI to Bretton AI and explicitly calling itself an agent platform creates a clearer enterprise identity. Financial institutions prefer vendors that demonstrate specialization and regulatory seriousness. This positioning may help shorten procurement cycles and build trust.
I also believe agent-based AI systems are better aligned with compliance workflows than generic generative AI tools. Compliance teams require traceability, repeatability, and defensibility. If Bretton AI can combine automation with strong governance controls, adoption could accelerate across mid-sized and large banks.
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