Real-time liveness detection and biometric face matching to confirm your users are who they claim to be.
Our biometric engine is trained on diverse datasets with a strong emphasis on African skin tones for superior fairness.
Detects spoof attempts — printed photos, screens, silicone masks, deepfakes — without asking users to perform any action. Our passive liveness engine analyzes texture, depth cues, and micro-reflection patterns in a single frame.
Compare a user's live selfie directly against the photo on their submitted identity document. Returns a similarity score from 0 to 1.
Estimate user age ranges from facial features to flag potential underage access attempts or verify age-gated service eligibility.
Trained on millions of African faces to deliver industry-leading accuracy across the full spectrum of skin tones. Most facial recognition systems fail darker skin tones — ours doesn't. Our models are regularly audited for demographic fairness.
From camera capture to verified result — the entire process runs in under one second.
User takes a selfie via phone or web camera
AI checks for liveness signals and spoof attempts
Live face compared to document photo biometrically
Confidence score returned instantly via API
Our biometric platform meets the compliance and security standards required by financial institutions and regulators across Africa.
Integrate our biometric engine in hours, not weeks. Full SDK support for iOS, Android, and Web.