Voice biometric verification for identity and fraud checks, run inside your Zenoo flows.
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Auraya provides voice biometric verification used for identity checks and fraud detection. Community reports describe strong accuracy in controlled, English-dominant environments, which suits pilots and supplementary checks alongside document-based KYC. Inside Zenoo it runs as one signal within a wider onboarding flow.
Low false acceptance. Community reports cite very low false acceptance rates in controlled environments.
Quick prototyping. Some reports describe an easy initial SDK setup for voice biometric prototypes.
Synthetic voice detection. Some reports describe a meaningful reduction in synthetic voice fraud on account verification at a mid-sized bank.
Steady uptime. Some reports cite good API uptime in production use.
Honest notes from community data, each with a way to cover the gap inside a Zenoo flow.
Accent handling. Some reports suggest higher false rejection rates for non-native English speakers. In Zenoo you can pair Auraya with a document or biometric provider so those users have an alternative path in the same flow.
Behaviour under high concurrency. Some reports mention instability at very high request rates. Zenoo fallback routing can shift load to a second provider during peaks so onboarding keeps moving.
Best as a supplement. Some reports suggest voice works better alongside other checks than as a standalone. Zenoo lets you combine it with document and biometric verification in one orchestrated flow.
Configure Auraya in no-code Studio, then add fallback and waterfall logic so onboarding stays live. One contract, one integration, one audit trail across every provider.
Chain these into the same Zenoo flow so one journey covers every check.
Activate it from your Zenoo account and our AI builds the connector in a day. You then get fallback routing, one contract, and a unified audit trail across providers.
