Technology Built for an AI-Driven Future
Authentication designed to secure billions of humans, not just devices.
Get StartedVeryAI unites next-gen palmprint biometrics with AI-powered deepfake detection to enable effortless, hardware-free authentication.
With 28M+ scans and over a decade of R&D, VeryAI delivers unmatched accuracy and protection in the age of generative fraud.
Innovation Gap
Generative AI is fueling new fraud—deepfakes, cloned voices, forged documents—that traditional biometrics and KYC can't stop. VeryAI combines palmprint authentication with proprietary deepfake and AI-detection technology, creating a layered defense that blocks both spoofing and the growing wave of AI-generated attacks.
AI and Deepfake Threat
Generative AI enables synthetic identities, cloned voices, deepfakes, and forged documents that evade traditional biometrics. VeryAI counters these threats with proprietary classifiers for deepfake video, detectors for synthetic images and audio, and forgery checks for documents—layered alongside palmprint authentication to resist biometric spoofing and AI-driven fraud.
Palm Scan: How It Works
Capture
Palm scanned by any smartphone camera
Process
Local feature extraction + encryption
Verify
Identity + liveness confirmed in real time
Output
Instant match/no-match decision
Comparison to Other Biometrics
| System | FAR | FRR | Hardware Required | Notes |
|---|---|---|---|---|
| VeryAI | 1×10-7 | 1.5×10-2 | None (any camera) | Software-only, 10x stronger |
| Apple Face ID | ~1×10-6 | n/a | Infrared depth camera | Hardware-dependent, spoofable |
VeryAI outperforms Apple Face ID by a factor of 10× while requiring no hardware beyond a standard camera.
Scaling to a Global Population (~8.1B)
To guarantee uniqueness at a global scale, FAR must be lower than 1/8.1B (~1.2×10-10).
VeryAI vs. Other Biometrics
Unlike fingerprints that degrade and faces spoofed by deepfakes—or iris and DNA scans that are accurate but costly—palmprints are distinct even among twins and never left behind. VeryAI turns this advantage into a software-only, globally scalable solution that's 10× more accurate than face or iris recognition.
