Steg.AI provides enterprise-grade forensic watermarking solutions that embed invisible, deep-learning-based watermarks into videos, images, documents, and audio to protect digital assets from leaks, misuse, and deepfake manipulation. Its core innovation is state-of-the-art steganography technology developed by a team of computer vision PhDs, enabling robust provenance and traceability without degrading content quality. The company has been recognized with a peer-reviewed publication in the top computer vision journal (CVPR) and is a contributing member of the Coalition for Content Provenance and Authenticity (C2PA). Backed by $6.2M in funding from investors including Paladin Capital Group, Steg.AI offers its solutions via APIs, web applications, and on-premise deployment for enterprise information security.
Forensic watermarking for tracking leaks and protecting high-value digital assets after they leave secure systems.
Deepfake detection and content authentication using invisible watermarks and support for provenance standards.
Core digital watermarking technology for protecting images, videos, documents, and audio from misuse.
A web app for watermarking and securely sharing digital content.
Developer documentation for integrating Steg.AI watermarking capabilities via API.
