Steg AI

What Steg AI does

Steg.AI is a private, venture-backed company founded in 2019 and headquartered in Irvine, California, that builds forensic watermarking software to protect digital content against leaks, unauthorized use, and AI-generated manipulation. The company originated from steganography research conducted by Dr. Eric Wengrowski and Professor Kristin J. Dana at Rutgers University, where its core Light Field Messaging (LFM) technology—published at CVPR 2019—was developed and subsequently exclusively licensed to Steg.AI. Steg.AI trains in-house deep learning models that embed imperceptible, tamper-resistant watermarks into images, video, documents, and audio; the watermarks survive common transformations including cropping, compression, color shifts, screenshots, and screen-to-camera capture, and enable attribution of leaked content back to a specific recipient or distribution channel.

The product portfolio is organized around four core offerings—Leak Protection & Tracing, Content Provenance (C2PA Verification), Deepfake Shield / Content Authentication, and Copyright Protection—delivered through a REST API, a self-serve web application, on-prem/edge deployment, and integrations with OneDrive, Google Drive, DAM systems, Photoshop, and WordPress. Steg.AI participates in the C2PA standards body, the Adobe Content Authenticity Initiative, and NVIDIA's Inception Program, positioning its watermarks as a resilience layer on top of metadata-based provenance.

The business operates a hybrid go-to-market model: enterprise customers are sold through direct sales with custom integrations, multi-year contracts, dedicated success managers, SAML SSO, MFA, on-prem deployment, and a 99.998% uptime SLA, while a $10/month self-serve Basic Plan introduced in November 2024 opens the technology to SMBs and individual users. Named enterprise customers include Netflix, HBO, Marvel, Funko, Lenovo, and Sonos across entertainment, consumer electronics, and licensed merchandise verticals. Total disclosed funding is approximately $6 million, anchored by a $5 million seed round led by Paladin Capital Group in August 2023.

Name

Steg AI

Legal name

STEG AI Corporation

Website

https://steg.ai

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Short description

Steg.AI builds forensic watermarking software that embeds invisible, tamper-resistant identifiers into images, video, audio, and documents to trace leaks and verify content provenance for enterprise customers in entertainment, consumer electronics, and licensed merchandise.

Ownership category

akta.pro rank

Product category

Digital Content Security Software

NAICS

Software Publishers (513210)

akta.pro primary industry

Forensic Watermarking (Session/User Watermarking, Payload Design) (MPAHAMAA)

akta.pro secondary industries

Leak Detection & Source Attribution (Fingerprint Matching, Subscriber/Partner Tracing) (MPAHAMAE), Content Identification & Matching (Fingerprinting, ID Resolution) (MPAHALAE), Content Authenticity, Watermarking & Deepfake Detection (HDAAAKAK)

Keywords

• Forensic watermarking software
• Content leak protection
• Deepfake detection solutions
• Content provenance verification
• Digital rights management

Headquarters

HQ city

Irvine

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Subscription - Basic Plan: Self-serve SaaS subscription at $10 USD/month, providing 100 credits per month and access for 1 user. Usage beyond the included credits is billed at $1 per 10 credits. Provides watermarking, sharing, and tracing capabilities for individual users and small teams.
2. Enterprise Subscription: Custom enterprise pricing offering unlimited watermarks, shares, users, and traces. Includes dedicated success manager, custom integrations, SAML SSO, multi-region redundancy, and on-prem deployment options. Sold through direct sales motion.
3. API/SDK Licensing: Revenue from API access and SDK licensing for enterprise customers integrating watermarking into their workflows and digital asset management systems.

Pricing tiers

Go-to-market motion3 records

Distribution channels4 records

Marketing channels5 records

Core offering

Steg AI builds a forensic watermarking platform that embeds imperceptible, tamper-resistant identifiers into images, videos, documents, and audio to trace leaks back to their source, verify content authenticity, and detect deepfake or generative AI manipulation. The technology is delivered through a self-serve web application, REST API, on-prem deployment, and integrations with DAM systems, cloud drives, and creative software such as Adobe Photoshop and WordPress. Watermarks survive screenshots, screen-to-camera capture, compression, and metadata stripping, enabling single-frame video attribution and standards-based C2PA content credential interoperability.

Product overview

Steg.AI is an enterprise digital content security platform built around proprietary forensic watermarking technology. The platform offers four core products: Leak Protection & Tracing (for identifying content leak sources), Content Provenance with C2PA Verification (for authenticity and chain of custody), Deepfake Shield/Content Authentication (for detecting AI-generated manipulation), and Copyright Protection (for tracking unauthorized use of licensed content). Access is provided through a Web Application (user-friendly drag-and-drop interface) and REST API for programmatic integration. The platform is delivered via cloud (AWS-hosted with 99.998% uptime SLA for Enterprise) and supports on-premises deployment. Products utilize in-house trained deep learning models for watermarking and integrate with DAM systems, cloud drives (OneDrive, Google Drive), and creative software plugins (Photoshop, WordPress). Steg.AI's watermarks survive common manipulations including cropping, compression, screenshots, and screen-to-camera capture.

Differentiator

Problem solved

Functional benefit

Products and services

• Leak Protection & Tracing Forensic watermarking solution that embeds invisible, tamper-resistant identifiers into images, videos, and documents to trace content leaks back to their source. Enables organizations to identify exactly which recipient leaked content, when, and where. Designed for entertainment, consumer electronics, and licensed merchandise enterprises that handle pre-release content.
• Content Provenance (C2PA Verification) Content authenticity verification solution that establishes verifiable attribution and chain of custody using C2PA standards enhanced by forensic watermarks. Watermarks persist even when C2PA metadata is stripped, ensuring provenance verification throughout the content lifecycle.
• Deepfake Shield (Content Authentication) Deepfake detection and content authentication solution using invisible watermarks to authenticate content and detect synthetic media manipulation. Protects against AI-generated impersonation and verifies authenticity of official content.
• Copyright Protection Ownership and copyright protection solution that embeds unremovable watermarks into licensed assets, enabling content creators and media management companies to trace unauthorized use and recover lost licensing revenue.
• Steg AI Web Application Web-based interface for watermarking, sharing, and tracing digital content. Features drag-and-drop watermarking, secure collaboration with customizable permissions, and trace capability. Eliminates need for API integration, making protection accessible to businesses of all sizes.
• Steg AI REST API & SDK

Quantifiable outcome

• Leak attribution from single frame of video, screenshots, or brief clips
• +2 more outcomes

Named customers6 records

Segments6 records

Ideal customer profiles6 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability8 records

Feature5 records

Scale indicators6 records

Recent moves6 records

Expansion highlights7 records

Direct peers

• Signiant: Provider of intelligent file transfer and media workflow automation for the entertainment industry. Comparable to Steg.AI on media security and content protection for studios and post-production, though Signiant's differentiator is workflow/transport rather than forensic watermarking.
• Digimarc: Established provider of digital watermarking and content identification technology across media, packaging, and retail. Most directly comparable to Steg.AI as a forensic watermark SaaS vendor serving enterprise content protection needs, with broader packaging/authentication footprint.
• IMATAG: French provider of invisible forensic watermarking for images and video, focused on leak attribution and copyright protection. Closely comparable product offering — forensic watermarking for media leak tracing — and overlapping customer base of media and entertainment companies.
• Videntifier: Visual content identification and fingerprinting provider serving broadcasters, rights holders, and law enforcement. Comparable to Steg.AI's copyright protection and leak tracing capabilities, though using fingerprint matching rather than imperceptible watermarking.
• Audible Magic: Long-standing content identification and fingerprinting vendor serving music, broadcast, and UGC platforms. Comparable to Steg.AI on content identification and rights enforcement, though primarily focused on audio fingerprinting rather than forensic pixel-level watermarking.
• Friend MTS: UK-based content protection vendor specializing in live streaming piracy detection, sports/broadcast watermarking, and leak attribution. Comparable to Steg.AI's leak protection and forensic watermarking capabilities, with a stronger focus on live broadcast and sports rights.

Regional players

• MarkAny: Korean DRM and content protection vendor offering watermarking, DRM, and anti-piracy solutions. Comparable product offering in forensic watermarking and leak prevention, primarily serving Korean and Asian markets rather than directly competing with Steg.AI's US footprint.

Emerging players

• Pallyy: AI watermark detection startup building tools to identify AI-generated images and content provenance. Comparable to Steg.AI's Deepfake Shield product line, though focused on detection rather than embedding and serving a creator/compliance use case.

Broad incumbents

• Adobe (Content Authenticity Initiative): Adobe's Content Authenticity Initiative is a cross-industry coalition building content provenance and C2PA tooling directly into Adobe Creative Cloud. Comparable as both a steward of the same C2PA standard Steg.AI supports and a potential competitor embedding provenance natively into dominant creative software.
• Microsoft (Content Credentials / Azure): Microsoft is embedding content credentials and provenance tooling across Azure and Microsoft 365, and is a member of C2PA. Comparable as a platform incumbent that could absorb Steg.AI's content authenticity functionality into broader enterprise productivity and cloud offerings.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/steg-ai

Revenue estimate

Valuation estimate

Number of profiles

Profiles12 records

Funding overview

Funding rounds4 records

Investors5 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Steg AI