
AI Agents for KYC & AML
What they do: AI compliance analyst tools for banks and fintechs (KYC & AML)
Headquarters: San Francisco, California, United States
Stage & team: Seed stage; reported 1–10 employees
Founders: Alexandre Berkovic (CEO) and Chrisjan Wust (CTO)
Recent funding: Seed round announced Dec 4, 2024 — $500K
Regulatory compliance, know-your-customer (KYC), anti-money-laundering (AML), risk intelligence for banks and fintechs.
2024
Artificial Intelligence; Compliance Software; Financial Technology
$500,000
Investors listed include Y Combinator, SBXi, and Rebel Fund
“Backed by Y Combinator and SBXi”
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tl;dr: We're automating compliance for banks and fintechs with AI agents that work like human analysts – on a browser. While our core engineering team scales what works, we need someone to figure out what's next. If you love building prototypes that become products, pushing the boundaries of what AI agents can do, and shipping experiments that change the roadmap, we should talk.
Background Before you can move money or open an account, someone has to make sure you're not a criminal. That's compliance, and it's broken.
Sphinx builds AI analysts that work inside browsers, APIs, and internal systems just like humans – automating AML, KYC, KYB, and transaction monitoring end-to-end.
Our agents already handle millions of compliance decisions across banking, fintech, and crypto. But what they can do today is a fraction of what's possible. We need someone whose entire job is to explore that gap – building new agent capabilities, prototyping new product surfaces, and turning "what if" into "ship it."
Why Join Sphinx
What You'll Work On Build new product features from scratch. We have a long list of ideas that could become core products – from customer requests, from the team, and from watching how compliance actually works. You'll pick the highest-leverage ones, prototype them fast, and turn them into features that expand what Sphinx can do.
Own the full stack. You'll design, build, and ship end-to-end: frontend interfaces, backend systems, AI integrations, and everything in between. You're not handing off a spec -- you're handing off a working product.
Move between product and engineering fluidly. You'll talk to customers to understand their pain, prototype solutions, test with real users, and iterate until it's right. You think like a PM and build like an engineer.
Feed the roadmap. Your experiments will shape what Sphinx builds next. You'll work closely with the CEO and core engineering team to decide which bets to double down on and which to shelve.
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About The Interview
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