Should you join: Bretton AIBretton AI just raised $75M and is building AI agents to automate financial crime investigations.
✨ Hey there - this is a free edition of next play’s newsletter. You are reading a Spotlight, a series where we go behind the scenes on interesting companies. What makes their business work? What is the culture like? What is the long-term strategy? How do they get their customers? And more. There’s so much noise out there; our goal is for these deep dives to be actually useful for you. To get more out of Next Play you can join our private Slack community here and access $1000s of dollars of product discounts here. Here is a T.V. show pitch for you: we reboot Sherlock. Bring Benedict Cumberbatch and Martin Freeman back. Rebuild the old sets, hire the old writers. It’s detective time. There is one catch, however. The first eight episodes are just Sherlock Holmes sitting behind a desk doing paperwork. That’s it. Each episode is one single shot; the camera doesn’t move. Then, in the last couple of episodes, Sherlock does some real deducing and solves the case. What do you think? Riveting, no? Maybe I’ll send a cold email to HBO. Of course, this T.V. show would be bad. You wouldn’t watch it. If I got HBO to make this show, it would be ridiculed as the biggest waste of money since the final season of Game of Thrones. Sherlock Holmes is a detective, and he’s supposed to be doing smart detective things—not tedious manual paperwork that anyone could do. I am sure you agree. Now what if I told you there is a real version of this T.V. show happening every day? It’s not Sherlock Holmes. It’s financial crime investigations. Every day, thousands of smart analysts working at financial institutions from Robinhood to J.P. Morgan wake up, open their computers, and spend the majority of their time doing repetitive pattern-matching. Only a small fraction of their day is used for actual deduction about whether crime has happened or not. Financial crime is a huge deal and it’s seriously underrated relative to how much of a role it plays at financial institutions. In a 2024 letter to the FDIC, the popular fintech startup Mercury said that 1 in 4 people at Mercury work in compliance (much of which is about financial crime). And that’s not out of the ordinary; North American companies spend $60B+ per year on financial crime compliance. The world may be a much better place if the following things happened:
If you pitched this thesis to Will Lawrence, founder and CEO of Bretton AI, he might tell you that the solution is simple: have every financial institution use Bretton AI as their infrastructure layer for financial crime investigations.
Last month, Bretton AI (formerly Greenlite AI) raised a $75M Series B to help financial institutions automate financial crime investigations with AI agents. Below I’ll share more about how it works, what the long-term play is, and what kinds of people should consider joining. The productStartup founders often enjoy describing their companies as the “AWS of [X].” I have heard about AWS for the internet, AWS for healthcare, AWS for AI. Perhaps we are not too far off from a future where some founder pitches the AWS for AWS. It wouldn’t surprise me. And so when founder and CEO Will Lawrence told me that Bretton AI is like “AWS, but for compliance workforces,” I raised my eyebrows. But as I dug further into what Bretton AI does and what the world looks like if they succeed, the comparison felt apt. The product’s outcome is simple: it automates the bulk of financial crime investigation work for financial institutions. Existing customers include fintechs like Mercury and Robinhood to larger, FDIC-regulated banks; really any company that has to deal with financial crime compliance. So how does it actually work? When Bretton AI graduated Y Combinator in the summer of 2023, it had a narrower scope: it was an AI tool to automate sanctions screening reviews. Sanctions screening is what you have to do when a customer’s name matches against a government watchlist. You, the person doing the review, have to check and see if the alert is correct or not. Will Lawrence and his team knew they wanted to tackle all of financial crime and compliance, but sanctions screening was the place to start. It is fairly straightforward (relative to some other kinds of compliance work), but it is also important and requires a lot of manual labor. And the competency of AI models in 2023 was enough to automate this effectively. Fast forward to 2026 and Bretton AI has hit an inflection point. “First,” Will told me, “LLMs crossed the threshold where they can reliably handle complex, judgement-intensive compliance work. Second, regulators are increasing pressure… So compliance teams are drowning. Third, the talent market for compliance analysts is brutally tight and expensive. Banks are spending billions on compliance staffing and still falling short.” This is the perfect storm for Bretton AI’s current product, which operates as a more comprehensive suite of investigation-ready AI agents that can tackle almost all portions of financial crime compliance. Two of the biggest things it does today are AML (anti-money laundering) and conducting enhanced due diligence (like KYC and KYB), both of which today require tons of tedious, repetitive manual work. With Bretton AI, a company’s compliance analysts can focus on the Sherlock Holmes-y part of the job, not the database searching/copy-and-pasting/repetitive pattern-matching part. The AWS comparison slots in nicely via the mechanics of how companies use and pay for Bretton AI. Instead of flexing analysts up and down with demand (complicated), companies can scale capacity up and down immediately (easier). Like how you’d scale compute. And, to be clear, the product works. In their fundraising announcement last month, Bretton AI shared that:
This is a promising trajectory. So where is it all headed?
The strategyIf Bretton AI works out, then in twenty years “it becomes the infrastructure layer for staffing in regulated industries,” Will Lawrence said. Bretton AI is capitalizing on a theory that many startups (and analysts, and journalists, and others) espouse: regulated industries are filled with a ton of tedious work humans shouldn’t have to do. Nobody wants to watch the ‘Sherlock Holmes does repetitive paperwork’ show the same way nobody wants to be the Sherlock Holmes doing repetitive paperwork. Financial crime is interesting and important, but people want to spend their time doing the tasks that really require a human; the complex tasks and the deduction. The Sherlock stuff.
But Bretton AI is starting with arguably the most difficult regulated industry first. Financial crime compliance is so important to financial institutions—and the consequences so large—that convincing an FDIC-regulated bank to use your product is different from selling to a small startup. That’s why Bretton AI started with fintechs. Mercury, Robinhood, Gusto, and many others; these startups were willing to take a chance, and luckily, the tools worked. Now the question is: how does Bretton AI move upmarket? Two things stand out. First is what Bretton AI calls Trust Infrastructure, a governance layer that embeds specific federal banking guidelines (like OCC and NYDFS requirements) into every agent, with full audit trails and explainable outputs. This is great because banking execs don’t need convincing that AI could help, what they want is proof it won’t screw things up in front of a regulator. Bretton AI’s Trust Infrastructure goes a long way towards doing that. Second, Bretton AI is pushing into more complex investigations, and they are doing so faster than their competitors. Just last week they announced Horizon, a product designed to tackle what’s called L2 work: longer, judgement-intensive investigations that today take hours. “Our competitors have not cracked this,” one employee told me. “We want AI to not only automate low-risk work but also to build the best UI possible for [the complex stuff].” If they pull it off, that’s a meaningful moat. The growthIt took 2 years between Bretton AI’s acceptance into Y Combinator and their $15M Series A. And it took just 9 months between that Series A and last month’s $75M Series B, led by Sapphire Ventures with participation from Greylock, Y Combinator, and others. It’s not hard to see why Bretton AI is having success with VCs. Their average contract size has increased to $201k, up from $85k in May last year and $25k at their seed round. The total market cap of customers is now over $1T. Customers are no longer other startups but also include OCC-, FDIC-, and Federal Reserve-regulated banks. Bretton AI’s AI agents have now completed more than 1.2 million L1 and L2 financial crime investigations. There are some people who say that AI is a bubble. These people may point to the less-exciting stats about AI products, like the MIT report last year that claimed 95% of AI pilots were failing. Perhaps some of these claims are true; perhaps there are a lot of AI tools that promise a lot but can’t deliver. Or tools that end up being a distraction, costing more than the value they deliver. All the hype (and the backlash to the hype) makes it difficult to see through the mist and figure out which AI companies are actually helping their customers make more revenue. But Bretton AI’s numbers are about as positive as any that their product is delivering actual value. And if Bretton AI ends up realizing its vision to become the infrastructure layer for all compliance in regulated industries—then the company has plenty more room to grow. The teamI sat down with the team (which includes ex-Uber, Palantir, SpaceX, Stripe, and Airbnb employees) to learn more about their culture and who might fit in. What’s the vibe at Bretton AI? How does work get done? Well, if you apply, you can probably expect to work in-person (though there are some limited remote roles). “You don’t realize how much gets lost in async until you’re back in person full time,” Nitya Mummalaneni, AI ops specialist at Bretton AI, said. “Being together every day means conversations don’t get lost in Slack threads, decisions are made faster, and connections feel more authentic. It’s life-changing for sure.” Bingqing Wu, a product engineering lead, said she was excited to join because things are moving quickly. “I was especially struck by how much people are encouraged to think creatively and tackle challenges from different angles. One thing that might be ‘unpopular’ in the broader tech community is how much we value being practical over hype. The culture here leans toward substance over flash. We focus on solving real customer problems.”
People who work at Bretton AI are expected to “own outcomes,” and working at Bretton AI is not a “chill job,” James Rogers, a product manager at the company, said. But, for the right person, that’s a good thing. James started working at Bretton AI while wrapping up university and “ended up just skipping almost all my classes to work on the product.” I also asked: who isn’t a fit? What would a smart person who quit Bretton AI say? Someone told me that you might quit because “there’s a lot of ambiguity and not a ton of process.” This is true of a lot of startups (especially earlier-stage) but it is worth reinforcing. Bretton AI is not a calm place to walk in and expect a well-structured, pre-defined list of everything you will be doing this week or this quarter. You’re going to have to try harder than that. Should you join Bretton AI?
Perhaps Bretton AI isn’t too unrelated from Sherlock Holmes after all: 17 of the 56 original novels by Arthur Conan Doyle feature some kind of financial crime. After all, if you want to run a successful criminal operation at any scale, you probably need to do some illegal money stuff. So, if you’re looking to be pitched on the mission: Bretton AI helps reduce real-world crime. If you zoom all the way in, working at Bretton AI is in part about making financial investigations faster and more effective. You may play an important role in reducing the amount of financial crime in the world. You may also help to make compliance work more fair, a useful goal in an industry where discrimination and bias is still somewhat baked-in. If you zoom all the way out, then working at Bretton AI is—as CEO Will Lawrence told me—about building an ‘AWS for compliance.’ About building a brand new infrastructure layer in one of the most important industries in the world: finance. If the company ends up becoming an embedded infrastructure layer in regulated industries, then joining Bretton AI now means joining a startup that leaves a real footprint on the world for decades to come. The money could be nice, too. Bretton AI is at Series B, a good stage for a startup to be at if you’re interested in long-term equity (the risk-reward tradeoff is often favorable). They are on a fast upward trajectory. And if the company succeeds with everything it would like to, you would probably walk away with a lot of money. I’m sure you wouldn’t be upset about that. If you would like to join Bretton AI at their San Francisco office or look for a remote role, you can do so here. And feel free to send Will (or someone else) a cold email. “If you cold email me with a POV on how we should think about a compliance workflow, or you’ve built something that shows you understand the problem, that goes straight to the top of the pile,” Will said. (You can read some creative ideas for getting hired in this essay.) Thanks to Bretton AI for supporting Next Play and making this Spotlight possible. You're currently a free subscriber to next play. For the full experience, upgrade your subscription.
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Should you join: Bretton AI
Thursday, 5 March 2026
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