Underwriting & risk
Model design, monitoring and governance. Drift detection and rollback built in from day one.
Broader tier · working proof in production
Fintech is the vertical where our trading-systems work gives us the most direct entry. We operate a production autonomous trading system with real capital at risk. Different domain, same discipline. If a firm can trust AI with money inside hard risk limits, the same discipline holds for AI inside a customer relationship.
For fintech, our engagements cluster around four problem shapes: underwriting and risk (credit decisioning, fraud modeling, dispute triage), trading and execution (autonomous and human-in-the-loop execution strategies), customer intelligence (churn, LTV, lifecycle, acquisition), and internal automation (compliance workflow, back-office automation, audit trails).
The thing we bring that pure quant firms don't: consumer product instinct. The thing we bring that pure consumer AI firms don't: working experience running AI where a bad output costs money, not just a churned user.
Model design, monitoring and governance. Drift detection and rollback built in from day one.
Autonomous and human-in-the-loop strategies. We run our own — we know where the real risks are.
Churn, LTV, acquisition efficiency. Consumer-grade behavioral modeling applied to financial products.
Audit-traceable AI workflows in document review, KYC, dispute handling. Every decision can be explained to a regulator.
Where AI fits your operation, ranked by ROI, risk and time-to-value. Built to survive a board meeting.
The first production workflows shipped with your compliance team in the room.
When the target is underwriting conversion or fraud loss and measurement is clean, we work for a share of the uplift.
Your compliance team's least favorite use case is the right place to start. We'll tell you whether we'd ship it.