AW Identity verification · Aware, Inc.

Aware

Biometric identity software for face, fingerprint, and voice verification that runs inside Zenoo KYC flows.

At a glance

Overview

Aware overview

Aware provides biometric identity software covering face, fingerprint, and voice matching for verification and authentication. It suits organisations that want established biometric algorithms as one component of a wider identity flow. Within Zenoo it sits alongside document checks and screening rather than acting as a full stack on its own.

Company
Aware, Inc.
Category
Identity verification
Strongest in
Multi-modal biometric matching
Best fit
Biometric layer inside a wider KYC flow

Where it is strongest

Key strengths

What Aware does well.

01

Multi-modal biometrics

Published capabilities cover face, fingerprint, and voice matching, giving you more than one modality to verify identity.

02

Long-standing biometric focus

Aware is a specialist biometrics provider, so its algorithms are the core of the product rather than a bolt-on.

03

Fits regulated identity checks

Biometric verification can support onboarding and step-up authentication where a face or voice match is required.

Who it suits

Best for

Where Aware 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
  • Teams that want a dedicated biometric matching engine within a broader KYC flow
Considerations
  • Limited public developer signal. There is little openly discoverable developer feedback or integration detail, so run a scoped pilot in Zenoo before you commit and keep a fallback verification path routed alongside it.
  • Biometrics is one layer, not the whole check. Face or voice matching does not cover document authenticity or sanctions exposure, so pair it with document verification and screening in the same Zenoo flow.
You

Open the customer's case

What your team sees

The Aware 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
AwareVerified
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

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.