Steg.AI develops digital content security software built around forensic watermarking and media authentication. The company’s platform is designed to help organizations protect and verify images, video, documents, and audio across four primary use cases: leak tracing, provenance, deepfake defense, and copyright protection. Its watermarking approach combines imperceptible forensic signals with optional visible marks so customers can add accountability and ownership data directly into media files.
Steg.AI delivers these capabilities through a web application, API, third-party integrations, and customer-specific deployment options including on-prem and edge environments. The company positions its software for teams that need durable attribution and authenticity signals that can persist through common edits, redistribution, screenshots, and other real-world handling of digital assets.
Offerings, Capabilities, and Integrations
Steg.AI’s offerings center on in-house deep learning models for forensic and visible watermarking, media verification, and resilient provenance. The platform supports workflows where organizations watermark content before distribution, verify authenticity after publication, and trace leaked or misused assets back to a specific recipient or workflow step. It also supports C2PA-aligned provenance use cases by pairing embedded watermark signals with content credentials for stronger persistence beyond metadata alone.
Steg.AI is designed to fit existing content operations through a REST API, webhooks, a browser-based application, SDK-based implementations, and custom integrations. It also cites integrations with Drives, DAMs, and common creative tools such as Photoshop and WordPress, alongside hosted, edge, and on-prem deployment models for customers with different security and workflow requirements.
Products and Services
- Leak Protection and Tracing: Applies unique forensic watermarks as content is shared so leaked images, videos, or documents can be attributed back to a specific source, including from screenshots or short clips.
- Content Provenance: Embeds durable provenance signals into media and works alongside C2PA content credentials so authenticity can still be checked even when metadata is stripped or altered.
- Deepfake Shield: Uses watermark-based authentication to help detect manipulated or AI-generated misuse of official media and verify authentic source content.
- Copyright Protection: Embeds ownership or license information into licensed assets and supports workflows for tracing origin and investigating unauthorized reuse.
- Steg.AI Web Application: Browser-based application for watermarking, sharing, and tracing images, videos, and documents without requiring a custom integration.
- Steg AI API: REST API for upload, encode, and decode workflows that returns JSON responses and supports visible plus forensic watermarking for supported asset types.
- SDK: Software development toolkit option for embedding Steg.AI watermarking into existing enterprise workflows and deployments.
- Drive and DAM Integrations: Integration options that let customers keep assets in existing cloud drive or digital asset management repositories while applying and reading watermarks.
- Creative Software Plugins: Plugins for common creative software, with Steg.AI specifically citing tools such as Photoshop and WordPress.
- Custom Software Integrations: Enterprise integration service for connecting Steg.AI capabilities to customer-specific applications and operational workflows.
- On-Prem Deployment: Deployment option for customers that want watermarking and verification workflows to run within their own environment rather than only in the hosted service.
- Forensic Leak Analysis + Incident Report: Enterprise support service for customers that need post-incident analysis and reporting after a leak or misuse event.
Target Customers
Steg.AI targets organizations that handle high-value, pre-release, licensed, or reputation-sensitive digital media. Its platform fits teams across creative, marketing, security, business, legal, and content operations that need to control distribution, prove authenticity, or investigate leaks without forcing major changes to everyday media workflows.
Its use cases map especially well to enterprises in entertainment, gaming, publishing, toy manufacturing, consumer electronics, fashion, automotive, government, and media licensing. The company also addresses stock media and content licensing workflows where every distributed asset can carry recipient-specific ownership or license information.
Cloud Integrations and Marketplace
- Amazon Web Services (AWS): Steg.AI lists AWS-hosted deployment and multi-region cloud redundancy for its platform, while also offering an on-prem deployment option for customers with stricter security or data-location requirements.
- Microsoft OneDrive: Steg.AI cites Drive integrations, including OneDrive, so customers can keep digital assets in their original location while watermarking and licensing workflows run.
- Google Drive: Steg.AI cites Drive integrations, including Google Drive, so customers can keep digital assets in their original location while watermarking and licensing workflows run.
Key People
- Eric Wengrowski: Co-Founder, CEO
- Rajbir Kataria: CTO
- Kristin J. Dana: Co-Founder, Chief Scientist
- Surya Ramalingam: VP, Marketing
- Joe DeGol: Co-Founder, Technical Advisor
Key Facts
- Headquarters: Irvine, California, United States
- Employees: 11-50 employees
- Annual Revenue: Undisclosed
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: No (privately held)
