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.
Safeguard sensitive content with visible and forensic watermarking to deter unauthorized sharing and trace leaks back to their source.
Add resilient provenance to your content and enable authenticity verification to protect your brand.
Protect content from deepfakes and other Generative AI manipulation to ensure content integrity and uphold brand safety.
Protect media from unauthorized use and secure rightful ownership with tamper-resistant watermarking.
Steg.AI trains in-house, deep learning models for watermarking and poisoning for use through APIs, web applications, third-party integrations, and on-prem deployment.
Our web application makes it easy to watermark and share your digital content securely.
Integrate our technology into your current workflows using our easy-to-use REST API.
Steg AI launched its API, allowing developers to integrate forensic, visible watermarking, and deepfake shielding directly into their applications. The API supports various asset types, including video formats like MOV and MP4, facilitating content protection and authenticity verification for streaming professionals. This technical documentation provides comprehensive details on authentication, asset management, encoding/decoding processes, and webhook subscriptions.
