BBretton AI provides an AI platform for financial crime operations used by regulated banks and global financial institutions. It uses AI agents to automate KYC/KYB, AML and sanctions investigations, and ongoing transaction monitoring, integrating with existing systems and pulling data from 200+ sources to generate audit-ready narratives and triage false positives. Its Trust Infrastructure governance embeds regulatory guidance, model risk management, continuous evaluation, and quality assurance to ensure explainable, regulator-aligned operations from the start, setting it apart in its cross-system integration for large compliance teams. It operates as a SaaS with tiered pricing and targets banks and fintech platforms, aiming to define the standard for AI deployment in financial institutions and expand into more financial crime domains for broader adoption.
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Industries
Company Size
51-200
Company Stage
Series B
Total Funding
$90.1M
Headquarters
San Francisco, CA
Founded
2023
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Total Funding
$90.1M
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How Bretton runs AI compliance, fraud, and risk investigations with 3x faster web research using Parallel. Bretton grounds every AI compliance investigation in Parallel, making cases 40% faster with a cited source for every finding. By Parallel Key highlights. * 40% faster end-to-end investigations after moving to the Responses API * About 70% of each investigation runs on web data, all sourced through Parallel * Cited findings for every material claim, giving the Bretton Evaluator the source it requires About Bretton. Bretton, formerly Greenlite AI, builds AI agents for the back office of banks and financial institutions. Its agents handle KYC/KYB onboarding, enhanced due diligence, screening alerts, and adverse media reviews inside existing compliance systems. Bretton's agents run inside OCC-, FDIC-, and Federal Reserve-regulated institutions and platforms including MVB Bank, Coastal Community Bank, and Mercury, where they've helped cut compliance review time by as much as 87%. Financial-crime investigations rely on evidence from the open web. Before a bank onboards a business, its compliance team has to establish who owns it, confirm it's properly registered, and screen it and every related party for lawsuits, fraud, and negative news. Nearly all of that evidence is on the open web. For Bretton, web research makes up about 70% of every investigation, and it's where the most important findings come from. Bretton holds every investigation to the standard a regulator would expect: complete coverage, the right identity, and fully auditable. Its earliest agents used frontier models' built-in web search, which is designed to find a good answer, not to show that nothing was missed. As Bretton scaled, it needed search that could guarantee full adverse media coverage, cite a verifiable source for every claim, and pull the enrichment data that reliable entity resolution depends on. In compliance, those gaps matter. A missed lawsuit can mean onboarding a business that should have been flagged, and a finding without a reliable source can't be used in a case file. Bretton needed a web research layer built to the same standard as its investigations. Grounding every Bretton investigation in Parallel, from search and Extract to Task to Responses. Bretton's Applied AI team built a dataset with ground-truth answers and tested the leading web search APIs against frontier-model built-in search. Parallel came out ahead on quality, and Bretton standardized on it. When Bretton later rebuilt its product around agents, it kept Parallel as its web research layer, so the team could rebuild the architecture on a search foundation it had already validated. Search API and Extract API as agent tools. Bretton first replaced its built-in web search with Parallel's Search API and Extract API, called as tools inside the agent loop. Agents could search, open pages, and follow evidence across turns. As investigations got deeper, agents made more and more Extract calls, and latency became the next problem to solve. Task API inside every skill. On the Parallel team's recommendation, Bretton moved each research skill onto the Task API, which handles querying, retrieval, and synthesis in a single call and returns citations with every output. Quality scores improved, and Task powered enrichment, due diligence, adverse media, and website and terms checks across about 26 concurrent skills per case. But Task is built for deep background research, and some calls took up to 7 minutes. Responses API inside each investigator. For Bretton's second-generation agents, Parallel recommended the Responses API, which is built for research inside a live workflow. Rahul Mohankumar, who led the migration, found that Responses matched Task's quality at 30-40% of the latency, about a minute or two per call. Each investigator calls it 7 to 8 times per case, so the savings add up quickly. The Parallel team also helped Bretton tune how its agents use Responses. Swapping Markdown output for a structured schema gave each subtask exactly the fields it files as findings. Tighter tool descriptions taught investigators to ask targeted questions instead of pulling whole websites. To find a company's founding year, for example, an agent now asks Responses for the founding year and gets just that. The partnership runs both ways. When Bretton needed to show end users the search queries behind each finding, Parallel added new fields to Responses within about a week so Bretton's agents could surface them directly. Features like SSE streaming came out of Bretton's compliance needs in the same way. The impact. With Responses inside each investigator, Bretton's end-to-end investigation time dropped from about 20 minutes to about 12, with research quality unchanged. Faster cases change how analysts spend their day. Reviews reach them sooner, so they can focus on the decisions that need human judgment, like whether to escalate a case. Every material finding also arrives with a source attached, so reviewers and regulators can trace each conclusion to the page behind it. As Bretton runs full back-office operations with its AI-native service for banks like MVB, faster investigations mean more capacity for every customer. Parallel also gives Bretton room to keep moving. Bretton upgrades to new frontier models as they ship, and Parallel stays constant underneath as the web research layer, so every model upgrade still runs on the same sourced retrieval. What's next. Bretton is extending its AI-native operations across the financial back office, from compliance and fraud to risk and operations. Its goal is to become the default place financial institutions build and run agents. In Rohan's words, the aim is for a bank's first thought to be, "Bretton can do it. Let me build my agent in Bretton." As those agents take on more of the back office, Parallel remains the web research layer that keeps every finding grounded in a source.
Bretton AI, formerly Greenlite AI, today announced a $75 million Series B funding round and the company’s rebrand to Bretton AI, marking an expansion of its ...
Greenlite AI, the leading AI agent platform for financial services, announced a $15 million Series A.
MVB Bank has selected Bretton AI to handle its back-office operations through a multi-year managed services agreement. The deal will allow MVB to expand its compliance capacity without increasing headcount as it scales its fintech business. Bretton AI will provide anti-money laundering transaction monitoring and know-your-customer services using its AI platform, combined with a dedicated US-based team. The service operates under MVB's policies, with human analysts reviewing every AI-assisted output. MVB has built a national business serving fintech and payments sectors over two decades. The bank chose Bretton to manage growing compliance demands whilst maintaining control over programme decisions and regulatory filings. The agreement uses outcome-based pricing, with fees tied to completed work rather than analyst hours. This approach enables MVB to add capacity without proportionally increasing headcount-driven costs.
Bretton AI partners with RMSG to bring AI-Native operations to financial institutions. July 28, 2026 Erin Stout Risk Management Solutions Group (RMSG) and Bretton AI have formed a strategic partnership to help financial institutions modernize compliance and risk operations through a combination of deep regulatory expertise and AI-native execution. By bringing together RMSG's team of former regulators, bankers, compliance leaders, and risk executives with Bretton AI's purpose-built automation platform, the partnership helps institutions strengthen risk management programs, improve operational efficiency, and meet regulatory expectations with greater confidence. Financial institutions face an uncertain and ever-evolving regulatory landscape. Each new requirement burdens the same compliance, risk, and operations teams, creating more work without a corresponding increase in resources. However, many of the programs responsible for managing these obligations were built for a different era. Regulatory expectations continue to change, transaction volumes continue to grow, and institutions are increasingly asked to do more with the same staffing levels. The partnership between RMSG and Bretton AI is designed to address that challenge. RMSG is a boutique advisory firm that has worked on both sides of the examination process. The firm's professionals help financial institutions navigate complex risk and compliance challenges through advisory support, remediation efforts, and program transformation initiatives. Bretton AI delivers AI-powered back-office operations for functions such as anti-money laundering (AML), transaction monitoring, and enhanced due diligence (EDD). Every decision is documented, traceable, and designed to withstand regulatory scrutiny. Through this partnership, RMSG is connecting clients with a technology platform capable of operationalizing the programs it helps design and strengthen. A partnership built on shared standards. Implementing AI within a regulated environment requires more than technology. It requires confidence that outputs will meet the expectations of management, auditors, boards, and regulators. That commitment to defensibility is at the core of both organizations. RMSG seeks solutions its clients can confidently stand behind. Bretton AI has built its platform around transparency, explainability, and regulatory readiness. Together, they offer institutions a combination of strategic guidance and operational execution that helps programs scale while remaining aligned with regulatory expectations. "At RMSG, our priority has always been helping clients build sustainable, regulator-ready risk and compliance programs. Bretton AI extends that value by enabling institutions to execute those programs more efficiently and at greater scale. This partnership reflects a shared commitment to combining deep industry expertise with innovative technology to help clients meet today's challenges while preparing for tomorrow's regulatory expectations." Jeffrey Bowling, Managing Director, RMSG Why the partnership works. RMSG is called upon to help financial institutions address some of their most significant risk and compliance challenges, including regulatory remediation, examination preparedness, program transformation, and the implementation of new capabilities under aggressive timelines. The partnership brings together two complementary strengths. RMSG contributes deep regulatory, risk, and compliance expertise gained through decades of experience as former regulators, bankers, and industry practitioners. Bretton AI provides the AI-native operational infrastructure that enables institutions to execute key compliance and risk management activities more efficiently, consistently, and at scale. Together, the firms help institutions bridge a critical gap between program design and program execution. RMSG helps clients build and enhance risk and compliance frameworks and programs that meet regulatory expectations, while Bretton AI operationalizes those frameworks through transparent, auditable workflows embedded within day-to-day operations. The result is a more sustainable approach to compliance and risk management that combines expert guidance with scalable execution. What changes for risk and compliance teams. One of the greatest inefficiencies in operations is the amount of time spent on tasks that do not require expert judgment. Analysts routinely devote hours to gathering information, reconciling data across systems, and developing case narratives before they can address higher-risk issues. Bretton AI automates much of that work. Institutions using the platform have reduced enhanced due diligence case handling times by more than 80 percent, while some have cut transaction monitoring triage from more than 30 minutes to fewer than five minutes. Risk and Compliance professionals remain responsible for policy decisions, risk assessments, and final outcomes, but the manual operational burden is dramatically reduced. For institutions already working with RMSG, this means the programs they have invested in building can grow alongside the business without requiring proportional increases in headcount. Built for regulatory scrutiny. Quality and defensibility are central to both organizations' approach. Every Bretton AI output is supported by the company's Trust Infrastructure, which includes model risk management controls, continuous AI evaluation, and rigorous quality assurance testing. Institutions operating under OCC, FDIC, and Federal Reserve oversight require transparent, explainable, and audit-ready decisions. Bretton AI was designed with those requirements in mind, and RMSG's team brings firsthand experience from enforcing those standards throughout their regulatory and banking careers. "The promise of agentic AI is realized when deep industry expertise meets purpose-built technology. RMSG's team has enforced the standards our agents are designed to meet, which is exactly why this partnership is such a natural fit." Will Lawrence, Co-Founder & CEO, Bretton AI A blueprint for advisory firms in the AI era. RMSG's value proposition is rooted in expertise, judgment, and trust. Their approach demonstrates a practical path forward. By aligning with Bretton, the firm extends its value beyond advisory engagements and into the day-to-day operation of compliance and risk programs. The result is a model that enhances client outcomes without diminishing the expertise that differentiates the advisory relationship. As institutions increasingly seek ways to modernize operations, firms that successfully combine trusted advice with proven technology will be best positioned to lead. Building the future of compliance operations. Regulatory complexity is not going away. New rules, evolving expectations, and growing workloads will continue to place pressure on financial institutions. Organizations that adopt AI-native operating models today can do more than improve efficiency. They can position themselves to serve more customers, enter new markets, and grow without the operational constraints that have historically limited scale. RMSG and Bretton AI share a common belief: lasting transformation happens when deep expertise and purpose-built technology work together. This partnership is built to deliver exactly that. To learn more about how Bretton AI and RMSG are helping financial institutions modernize compliance and risk operations, schedule a demonstration or contact:
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Industries
Company Size
51-200
Company Stage
Series B
Total Funding
$90.1M
Headquarters
San Francisco, CA
Founded
2023
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs