Rigr AI uses AI-driven facial age estimation with privacy-preserving, on-device or edge-enabled architecture to deliver real-time age assurance without storing biometric data, supporting diverse, low-friction digital contexts.
Privacy-centric by design: no personal data is stored; biometric inputs are processed and deleted locally in milliseconds postestimation.
System is configurable with buffer zones, allowing relying parties to manage uncertainty while maintaining high user experience quality.
Rigr AI showed strong technical readiness, privacy alignment and usability. It delivered reliable threshold-based age decisions with fast, on-device processing and low false-positive rates in real-world scenarios.
