< 400ms
Median estimation latency
Age Estimation
A single passive selfie returns an age estimate, calibrated confidence, and a clear pass/fail against your threshold. Step up to documents only when it matters.
< 400ms
Median estimation latency
0
Documents required
24/7
No queue, no reviewer
Capabilities
Production-ready building blocks. Wire them up the way your team needs.
One selfie, no prompts. We return an age band, point estimate, and calibrated confidence in under half a second.
Pick the buffer that fits your jurisdiction (18, 21, 25) and we tune the decision boundary against your risk appetite.
When estimation falls inside the uncertainty band, automatically promote the user into a full document check.
Frames are processed in-memory and discarded after scoring. No biometric retention unless you opt in.
How it works
01
User aims the camera at their face. SDK selects the cleanest frame automatically.
02
Our model returns a point estimate and uncertainty band in the response payload.
03
Compare against your configured threshold and act, or step up to a document check.
04
Every decision is logged with model version, threshold, and signals for regulator review.
Use cases
FAQ
Document checks remain the gold standard for legal age proof. Age estimation is calibrated for low-risk flows and best paired with a step-up to documents for borderline cases.
Age estimation is recognised by Ofcom as a "highly effective" age assurance method when calibrated correctly. We provide the audit trail and accuracy reporting regulators expect.
We ship a lightweight on-device variant for capture quality and pre-screening. The full-accuracy model runs server-side with a sub-400ms median.
Get started
Tell us your use case and we'll design the flow around it, then hand you the SDK and a sandbox to try it.