Secure your identity flow with liveness detection
Liveness detection ensures a real, live person is present, protecting against fraud like deepfakes and spoofing attacks. It’s vital for secure identity verification in digital onboarding and authentication.
Built to Fit Your Infrastructure Needs
SaaS
Fast, cost-effective deployment with cloud-based access.
On-Premise
Full control over data, perfect for regulated industries.
AWS Integration
Seamless scalability within AWS ecosystems. Get offer →
Choose between Server-Baser or On-Premise
Advanced Tech Behind Seamless and Secure Verification
Our solution leverages deep neural networks to detect injection and presentation attacks. Real-time environment analysis and micromotion tracking enhance security against sophisticated threats.
Deep neural networks to detect injection and presentation attacks.
Original camera verification to detect video stream spoofing and virtual camera attacks
Real-time analysis of environmental conditions (lighting, blur, glare)
AI trained on thousands of real-world spoofing attempts, including 3D masks
Automatic detection and adjustment of face position relative to the camera
Adaptive lighting via SDK for low-light environments
Micromotion tracking and liveness signals (e.g., reflections, pulse, eye movement)
Intelligent user guidance in unfavorable capture conditions
False Acceptance Rate (FAR)*
Conversion rate among users 60+
+0%
better results than our top competitor
First Attempt Conversion Rate
0%
Use Cases
