01 — Identity
Facial Recognition
Sub-second identification at scale, hardened against spoofing, age drift, and adversarial conditions. Edge-to-cloud architecture, audited bias controls.
Identification under adversarial conditions. The model is benchmarked against age-drift, occlusion, illumination collapse, and active spoofing — the failure modes that retire most enterprise vendor stacks within 18 months.
How it ships
Operational discipline, not slide-ware.
01Edge-deployable inference at sub-second latency per face.
02On-prem retraining loop — no PII leaves the operator's perimeter.
03Per-demographic accuracy disclosure on every release.
04Hardware-anti-spoofing pipeline: presentation, replay, deepfake.
Reference Specs
99.4%
Top-1 identification
62ms
Median match latency
Print · Replay · 3D Mask
Anti-spoofing modes
Edge · On-Prem · Air-Gap
Deployment