AU10TIX Identity Verification Suite
Document, biometric and identity-data checks in a configurable verification suite.
Supplier popularity25%Facial age-range and liveness estimation on the user’s device with a separate integrity check.
The offering
On-device Age Estimation analyses a guided selfie to return an age range and liveness verdict locally. Incode states that raw facial images and biometric templates stay on the device, while a server-side integrity check uses non-PII metadata and session/device context. Optional privacy treatments change how the face appears during capture.
The output is an estimate, not proof of an exact birth date or a verified legal identity. An operator must set thresholds, supported devices and fallback checks appropriate to its approved market. Assess consent and data flows for the whole implementation, including metadata, rather than extending the device-side privacy claim to every system connected to it.
Age-assurance teams evaluating a separate estimation step with clearly defined thresholds and document fallback.
Reported in the linked public sources. We have not independently tested these capabilities.
Confirm market availability, rights, service levels and contractual terms for your implementation. API availability alone does not establish a named integration.
No. The product returns an estimated age range with a liveness verdict. An operator needs an accepted threshold policy and alternative evidence where estimation is insufficient.
SourceIncode describes a separate integrity check using non-PII metadata, device signals, behaviour and session context. Its stated local processing applies to the facial image and biometric model output path.
Source