FB Biometrics · FacePhi

FacePhi Biometrics

Facial biometrics and behavioural verification that runs inside your Zenoo onboarding flows.

At a glance

Overview

FacePhi Biometrics overview

FacePhi is a biometrics provider offering facial and behavioural verification for digital identity and onboarding. It provides SDKs for integration and supports use cases across onboarding, fraud detection, and travel. It suits teams that want a biometric verification layer for customer onboarding.

Company
FacePhi
Category
Biometrics
Strongest in
Facial and behavioural biometrics
Best fit
Teams adding biometric onboarding checks

Where it is strongest

Key strengths

What FacePhi Biometrics does well.

01

SDK-based integration

Offers SDKs for flexible integration, including support for Apple and Google digital credential APIs.

02

Biometric and behavioural checks

Covers facial biometrics and behavioural signals for onboarding and fraud detection.

03

Multiple use cases

Marketing materials describe use across onboarding, fraud prevention, and travel sectors.

Who it suits

Best for

Where FacePhi Biometrics 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 adding a biometric verification layer to onboarding
  • Use cases spanning onboarding, fraud detection, and travel
Considerations
  • Limited public developer signal. There is little independent community or integration material available publicly, so it is best proven in a pilot. Activating it through Zenoo lets you trial it against your own volumes with fallback routing to another biometric provider.
  • Pair for full identity coverage. As a biometrics layer, combine it with document verification and screening in the same Zenoo flow for end-to-end KYC.
You

Open the customer's case

What your team sees

The FacePhi Biometrics 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
FacePhi BiometricsVerified
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.