Skip to main content

Biomodality

Biomodality provides multimodal biometric verification combining face and voice recognition with interactive liveness detection. Its face ID model is trained on millions of AI-generated synthetic identities, while its text-independent voice recognition pairs DSP with AI for robust, spoof-resistant authentication across access points.

Traction 6/10
San Diego, United States · HQ
Founded 202512K+ followers
  • Artificial Intelligence
  • Cybersecurity
  • Software Only
Updated 5 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional biometric verification systems struggle with accuracy in challenging capture conditions and remain vulnerable to spoofing attacks. Many solutions rely on limited training data, making them less robust across diverse real-world scenarios and raising concerns about identity fraud.

Solution

Biomodality delivers multimodal biometric verification that combines face and voice recognition with interactive liveness detection to confirm a user's physical presence. The face ID model is trained on millions of AI-generated synthetic identities using proprietary generative AI techniques and extensive data augmentation, enabling high detection and recognition performance in difficult conditions. The voice ID system pairs digital signal processing with AI to deliver text-independent voice recognition, while speech-to-text technology enables PIN verification and liveness checks. Together, these capabilities provide a layered approach to identity verification that strengthens security across access points.

Target Audience

Primary customers are enterprises, security platforms, and identity verification providers that need robust, spoof-resistant authentication for access control, onboarding, and transaction verification.

Features

  • Face detection and recognition model trained on millions of AI-generated synthetic identities for robust performance in challenging capture conditions
  • Text-independent voice recognition combining DSP and AI for state-of-the-art speaker identification
  • Speech-to-text integration enabling PIN verification and interactive liveness verification
  • Multimodal fusion of face and voice biometrics for layered identity assurance
  • Extensive data augmentation pipeline to improve model versatility across diverse environments
This profile is AI-generated and may contain inaccuracies.