Vérité AI is a tri-modal deepfake detection platform designed to analyze images, videos, and audio using deep learning and Explainable AI (XAI). The system combines deepfake detection models with Grad-CAM visualizations, temporal audio attribution, and LLM-generated forensic explanations to provide transparent and interpretable results.
Cryptographic photo watermarking SDK — embed unforgeable drand beacon proofs at capture time to certify photos are real
Advanced AI-powered deepfake detection and media authenticity verification
The open specification for the Technical Evidence Package (TEP) format, the Authorship Evidence Constitution, and the LucidGrid Tool Registry.
🛡️🤖 Multi-modal AI system for detecting deepfakes, AI-generated media, and identity mismatches with explainable outputs and real-time analysis.
AI-powered media authenticity verifier for detecting AI-generated images and text with React, FastAPI, PyTorch, and Hugging Face models.
CPP (Capture Provenance Profile) - Open specification for cryptographic proof of media capture events. Features RFC 6962 Merkle trees for deletion detection, RFC 3161 timestamping, and optional ACE (Attested Capture Extension) for zero-knowledge biometric attestation. Part of the VAP Framework.
ZK circuits for C2PA media verification (Noir)
Applied media-authenticity toolkit for invisible image watermarking, robustness benchmarking, provenance checks, and authenticity scanning.
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