BFSI

Our fraud agents run graph neural network models through the Thinklar AI Gateway, which routes and load-balances scoring requests to keep detection latency under 50ms even at 200M+ transactions/day across multiple markets. Detection improves continuously as the model retrains on confirmed fraud/non-fraud outcomes.

Yes — our regulatory AI agents are configured per jurisdiction, so a single deployment can enforce Basel III capital reporting in one market and DORA operational-resilience requirements in another without conflicting logic. Compliance rules are maintained as versioned, auditable configuration rather than hardcoded into the model.

We run fairness audits against protected-class proxies before any underwriting model goes live, monitor for disparate impact on an ongoing basis, and keep a human-reviewable explanation attached to every automated decision. Underwriting AI accelerates decisions — it doesn't remove human accountability for the outcome.

Our infrastructure is built to SOC2 Type II standards with support for GDPR and sector-specific frameworks your regulators require. We can deploy fully within your own cloud environment or on-premise for institutions with strict data residency requirements.