Unlock the Full Potential of Deepfake Detection with Datambit's Genui
Analyses frame-level inconsistencies, facial movements, and temporal artifacts to identify manipulated (face-swapped) or AI generated video content.


Detects voice cloning and synthetic speech using voice biometrics, spectral analysis, and AI-based anomaly detection, ensuring audio authenticity.
Identified tampered or AI-generated images using facial extraction, texture analysis, and forensic image analysis to detect synthetic manipulations.


Monitors video and audio streams in real time during live calls or conferences to detect signs of synthetic manipulation, tampering or impersonation - ideal for digital meetings.
Chosen from more than 3,600 applicants worldwide, Datambit joins the NATO DIANA programme to advance dual-use AI innovation and develop cutting-edge deepfake detection capabilities for operational integrity and strategic decision-making.

Everything You Need to Know About Our Deepfake Detection Solution