Vericall is a secure peer-to-peer (P2P) phone call application designed to protect users from voice cloning and deepfake attacks. Unlike other solutions that rely on pre-call checks or cloud-based AI analysis, Vericall uses WebRTC for the call experience while streaming audio to a local AI engine via MoQ. This hybrid approach ensures real-time voice clone detection without compromising call quality or privacy.
The product addresses critical security concerns in voice communication by combining ultra-low latency with advanced AI analysis. It eliminates the need for speakerphone mode on iOS devices, which is often required by other apps due to Apple's microphone restrictions. By integrating CallKit and using P2P encryption, Vericall provides a seamless and secure calling experience for both personal and professional use.
Vericall operates using a hybrid architecture that splits the audio stream into two separate paths:
| Path | Protocol | Latency | Sample Rate | Purpose |
|---|---|---|---|---|
| RTP Path (Conversation) | UDP/RTP | <50ms | 48kHz | Delivers voice to the other caller with minimal delay |
| MoQ Path (Analysis) | QUIC/MoQ | ~100ms | 16kHz | Sends audio to the AI engine for deepfake detection |
The AI engine performs four key analyses:
Vericall is ideal for individuals and organizations concerned about voice impersonation and social engineering. Its features are particularly useful in scenarios where trust and authenticity are critical, such as:
The app also supports free personal use, making it accessible to a wide range of users who want to enhance their voice security without additional cost.
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