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. An organisation that trusts AI to manage money is a useful proof point for what AI you can trust with a customer relationship looks like.
For fintech, our engagements cluster around four problem shapes: underwriting and risk (credit decisioning, fraud modelling, 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 behavioural modelling applied to financial products.
Audit-traceable AI workflows in document review, KYC, dispute handling. Explainability is a feature, not a constraint.
If your profile doesn't match any of these, we'd rather tell you on the first call. We'll point you to someone better suited — and mean it.
We come prepared on your business. You come prepared on your problem. We both leave knowing whether there's a fit.
Book the call