AI · Real-time video
Real-time AI Face Swap Video Calling
We build real-time AI face swap systems for live video calling — the identity model, the GPU inference pipeline and the WebRTC layer that keeps a call feeling natural. Typical uses include privacy-preserving interviews, localised avatars for customer support, virtual presenters and entertainment apps. We deliver it as a custom build on your infrastructure, and we ship it with consent and watermarking controls so it stays on the right side of policy and law.
Live
in-call processing
WebRTC
native integration
Consent
controls built in
What we did
- Face detection, alignment and swap model pipeline
- GPU inference tuned for low-latency streaming
- WebRTC / SFU integration into your calling stack
- Consent capture, watermarking and audit logging
- Deployment, autoscaling and ongoing support
Stack
Low-latency pipeline
Frame-accurate detection, alignment and blending tuned so conversation stays natural on a live call.
Works with your stack
Drops into existing WebRTC, SFU or native mobile calling apps rather than replacing them.
Identity control
Managed avatar library with per-user permissions, so only approved identities can be used.
Responsible by default
Consent capture, visible or invisible watermarking and full audit trails ship with every deployment.
More of our work
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