AI face recognition for consent-led fintech identity.
We design biometric verification journeys around clear consent, accessible capture, liveness and match signals, and recoverable human-review paths.
Talk to an ExpertMake the verification step clear before capture begins.
Biometric identity is a sensitive product moment. The experience should explain why it is needed, help customers provide usable evidence and avoid treating uncertain results as definitive.
Consent & Purpose
Plain-language explanation, explicit permission and alternatives where the product supports them.
Guided Capture
Real-time framing, lighting and quality feedback designed for varied devices and abilities.
Liveness & Matching
Provider signals normalised into understandable confidence and reason context.
Recovery & Review
Retries, alternate verification and authorised human review for uncertain outcomes.
Minimise biometric exposure and preserve decision context.
We design narrow data flows, retention controls and provider abstraction around the verification purpose, with every automated outcome connected to evidence and policy.
Purpose-bound consent and data-minimisation controls.
Configurable thresholds with demographic and device performance monitoring.
Secure fallback paths that do not trap legitimate customers.
See a banking face and liveness journey.
Explore a representative KYC experience spanning consent, guided capture, evaluation and human review.
Explore face recognition and liveness for banksLet's talk about your ai face recognition for fintech project.
Tell us what you are building, the people it serves and the main challenge. We’ll use that context to make the first conversation useful.
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