Sold by: Steg.AI
Steg.AI protects sensitive content with forensic watermarking, enabling companies to instantly trace leaked images, videos, and documents back to their source. Our deep learning technology embeds imperceptible, tamper-resistant watermarks that survive compression, cropping, and screen recording, delivering reliable attribution, content provenance for authenticity verification, and AI content labeling for regulatory compliance. Built for flexibility and scale, Steg.AI protects millions of assets across global workflows.
Overview
Steg.AI is a forensic watermarking platform that helps companies protect their most valuable creative assets from leaks and misuse. Built on patented deep learning technology, Steg.AI embeds imperceptible identifiers directly into images, videos, and documents. These watermarks are tamper-resistant and survive common transformations, including cropping, compression, screenshots, and even screen-to-camera capture, ensuring that even a single leaked frame can be traced back to its source with high confidence. Companies rely on Steg.AI across three core use cases. Leak protection is the most common, enabling companies in media and entertainment, toys, consumer electronics, and automotive to trace leaked assets back to their source and protect content until they are ready for disclosure. Content provenance establishes authenticity and verifiable ownership attribution, even when assets have been manipulated. And AI content labeling helps organizations meet emerging content regulation requirements. Together, these capabilities give organizations stronger control over their intellectual property and brand integrity. Steg.AI integrates seamlessly into content workflows. For quick adoption, it can be used through a secure web portal at app.steg.ai with an SSO-enabled login, letting teams watermark files on demand without any complex integrations. For more technical deployments, Steg.AI offers an API and on-prem options that allow developers to embed watermarking directly into content pipelines. This flexibility makes it possible to integrate with DAM and MAM systems, cloud storage solutions, and transcoders.
Highlights
- Leak Protection: Trace leaked images, videos, and documents back to their source with imperceptible, tamper-resistant forensic watermarks. Steg.AI's deep learning technology survives cropping, compression, screenshots, and screen-to-camera capture, so even a single leaked frame can be attributed with high confidence, protecting sensitive content until you are ready for disclosure.
- Content Provenance: Establish authenticity and verifiable ownership attribution for your creative assets. Steg.AI embeds durable identifiers that persist even when content has been manipulated or transformed, giving organizations a reliable way to prove origin and protect brand integrity across global content workflows.
- AI Content Labeling: Meet emerging content regulation requirements by embedding imperceptible, persistent labels that identify AI-generated and AI-modified content. Steg.AI helps organizations stay ahead of evolving compliance standards while maintaining the visual quality of their images, videos, and documents.
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Cost savings % |
|---|---|---|---|
Enterprise Plan | Pricing is based on usage in the form of tokens. One token equals one image, one document, or one second of video. Each contract entitles you to a specified quantity of tokens for the contract duration. If you choose not to renew or replace your contract before it ends, access to the platform and any remaining quantities will expire. Multi-year discounts are available for terms up to three years. | $0.00 | 100% |
Dimensions summary
The Enterprise Plan uses a single token-based pricing model. You buy a set quantity of tokens for a fixed contract term. One token covers one image, one document, or one second of video, so your cost scales with how much content you watermark. You commit to a token quantity upfront rather than paying per transaction. Contracts run for the chosen duration, and unused tokens expire if you do not renew or replace the contract before it ends. You can select terms up to three years, with multi-year discounts available for longer commitments.
Top-of-mind questions for buyers
One token equals one image, one document, or one second of video. A ten-second video clip consumes ten tokens. A single document, regardless of page count, uses one token. Your token count reflects the volume and type of content you watermark, not the number of recipients or shared copies.
Access to the platform and any remaining tokens expire when the contract ends. You must renew or replace the contract before that date to keep your tokens and continued access. Unused tokens do not carry over automatically once the term lapses.
The pricing table meters tokens by content type: one image, one document, or one second of video. It does not separately list decode or visible-watermark charges. For exact treatment of decode operations and visible watermarks against your token balance, contact the vendor to confirm.
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Contact our support team at help@steg.ai or https://steg.ai/contact/ for refund information.
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Delivery details
Software as a Service (SaaS)
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Resources
Support
Vendor support
Steg.AI provides dedicated support to ensure customers get the most out of our forensic watermarking platform. Customers can reach our support team by email and Slack. We maintain a response time SLA of three business days, and our team is available from 8:00 AM to 8:00 PM EST, Monday through Friday. For self-service help, comprehensive product documentation, including integration guides and API references, is available at steg.ai/docs. For support inquiries, please contact us at help@steg.ai or fill out the form here https://steg.ai/contact/ and we will be happy to assist.
AWS infrastructure support
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