AU Biometrics · Auraya Systems

Auraya

Voice biometric verification for identity and fraud checks, run inside your Zenoo flows.

At a glance

Overview

Auraya overview

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.

Company
Auraya Systems
Category
Biometrics
Strongest in
Voice biometric verification
Best fit
Controlled environments and pilots

Where it is strongest

Key strengths

What Auraya does well.

01

Low false acceptance

Community reports cite very low false acceptance rates in controlled environments.

02

Quick prototyping

Some reports describe an easy initial SDK setup for voice biometric prototypes.

03

Synthetic voice detection

Some reports describe a meaningful reduction in synthetic voice fraud on account verification at a mid-sized bank.

04

Steady uptime

Some reports cite good API uptime in production use.

Who it suits

Best for

Where Auraya fits, and what to plan for.

Honest notes on the trade-offs, each with a way to cover the gap inside a Zenoo flow.

Best for
  • Controlled, English-dominant environments and voice biometric pilots used to supplement document-based KYC
Considerations
  • 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.
You

Open the customer's case

What your team sees

The Auraya result, beside everything else.

The result sits with screening and review on one case, so nobody checks a second tool to see the whole customer.

LA
Lorraine AshcombeSample case · Personal
In review
AurayaVerified
Name and date of birthAgrees
PEP screeningSuggested
Name matches a list entry, but the date of birth differs. Suggest you clear as a false positive.Zenoo suggests, your team decides
Zenoo

Hands it to your team

Verification is the first step. Compliance Hub handles the rest.

Once a customer is verified, screening and review happen in Compliance Hub. A possible PEP match lands in your team inbox with the evidence and the full history beside it. Zenoo suggests, your team decides.

Pairs well with

Alternatives

More in biometrics

You

Tomorrow, your case

Bring us a case that went wrong.

We will run it through Zenoo while you watch: the evidence, the decision, and the record your MLRO would want to defend.

30 minutes. Your data. No slides.