From AI Copyright Infringement to Licensing Revenue
AI companies train on your content without permission. You know it's happening but can't prove it in court. AI detectors fail with 26% accuracy.
Encypher provides cryptographic watermarking evidence for signed content.
Authors of C2PA Section A.7 (Text Provenance)
The AI Copyright Infringement Challenge
Publishers face a costly, escalating legal battle against AI companies using their content without permission.
The Evidence Gap
You know AI companies are training on your content. But proving which specific content was used, where it appeared, and how it was modified is nearly impossible with current tools.
Detection Tools Fail
Statistical AI detectors report low accuracy (around 26% in some evaluations), which is unreliable for court. High false-positive rates can get legitimate claims dismissed. You are spending heavily on litigation with weak evidence.
Revenue Lost
Without proof, you can't establish licensing terms. Every day AI companies profit from your content while you bear legal costs. The problem isn't going away, and it's accelerating.
Cryptographic Proof, Not Statistical Guessing
Encypher provides cryptographically verifiable provenance evidence that can support AI copyright claims and licensing. Outcomes depend on the facts and counsel.
What You Get
Sentence-Level Tracking
Prove exactly which sentences were used, not just that a document was accessed
Deterministic for Signed Content
Cryptographic verification, no statistical false-positive rate
Cryptographically Verifiable Evidence
Evidence packages designed for litigation with forensic-grade documentation
Usage Intelligence
See where your content appears, how it's modified, and by whom
The Transformation
From:
High annual legal costs
Fighting unwinnable cases with unreliable evidence
To:
New licensing revenue
Enforceable agreements backed by provable usage
Our Model:
We only succeed when you succeed. Success-aligned pricing means no licensing revenue = no payment. Contact us for details.
AI Detection vs. Cryptographic Proof
| Capability | AI Detectors | Encypher |
|---|---|---|
| Verification model | Statistical (~26%) | Deterministic (signed content) |
| Sentence-level tracking | ||
| Cryptographic proof | ||
| False positives | High | None |
| Tamper detection | ||
| Licensing infrastructure |
Why Publishers Choose Encypher
We authored Section A.7 of the C2PA 2.3 specification. We built the proof infrastructure. We enable the licensing economy.
Standards Authority
Authored Section A.7 of the C2PA 2.3 specification (text provenance). Co-Chair of the C2PA Text Provenance Task Force.
Proprietary Tracking
Sentence-level tracking is exclusive to Encypher. 18+ months of development created capabilities AI detection companies can't replicate.
You Keep Your Revenue
Signing is free and you keep 100% of your licensing revenue. AI companies pay the verification fee. Your proof, your deals, your money.
We didn't adopt the text-provenance standard. We wrote it.
Built on the C2PA open standard
Encypher authored Section A.7, the text-provenance section of the C2PA specification, and co-chairs the Text Provenance Task Force alongside these member organizations. Logos indicate C2PA membership.
Ready to Transform AI Copyright Infringement Into Revenue?
See how cryptographic proof with sentence-level tracking provides evidence counsel can use to evaluate and support claims and establish licensing terms. Understand the legal implications of cryptographic watermarking and the full content provenance picture.