Testing a new post
As Co-Chair of the C2PA Text Provenance Task Force, I authored Section A.7 of the specification-published January 8, 2026-alongside Google, BBC, OpenAI, Adobe, and Microsoft. We built Encypher to implement it in production. Now, we're making an edit to test the integration again.
The Problem
Text on the open web has no cryptographic proof of origin. Creators can't prove their work is theirs when it's scraped, distributed, or used to train AI. AI companies can claim "we didn't know it was yours" as an innocent infringement defense. We enable proof of authorship.
What We Built
Cryptographic watermarking embedded directly into text. Invisible to readers. Survives copy-paste, B2B distribution, web scraping, and data processing. Mathematical proof of origin at sentence-level granularity.
For Publishers and Creators:
- Serve formal notice. Prove willful infringement after notification, 3x damages territory.
- Verify quote integrity when AI claims "According to [Your Publication]..."
- Protect your brand from hallucinations.
- Transform unmarked content into licensing-ready assets.
For AI Labs Building Responsibly:
- Compatible infrastructure for marked content in training pipelines
- Quote integrity verification to protect your reputation
- Performance intelligence from sentence-level attribution
Let's Connect If:
- You're actively managing AI copyright litigation or licensing negotiations
- You understand that infrastructure gets built collaboratively, not competitively
- You want to help define standards for content licensing
→ Publishers: encypherai.com/publisher-demo → AI Labs: encypherai.com/ai-demo
P.S. Paste this into encypherai.com/tools/verify to see the embedded signature. That's the technology we're building for the entire web󠇟󠇠󠇡󠇢󠅆︂󠅲󠅤󠄋󠇏󠄾󠆚󠆣󠄛󠅇󠆑󠄊󠆬󠆜󠅷󠇛󠆣󠄔󠆉󠆇󠅃󠄧󠄳󠇮󠅦󠄮󠅮󠄨󠅧󠄞󠅼󠇫󠆄󠆫󠅟󠄦󠅴󠄨󠄐󠇟󠇠󠇡󠇢󠄟󠄫󠅤󠇒󠅔󠅷󠄵󠆽󠆥󠆑󠇦󠅬󠆒󠆐󠇥󠇢︄󠅞󠆦󠆂󠅿󠆮󠄌️󠆣󠆀󠇨󠇅󠇪󠅂︂󠆲󠅓󠅥󠄯󠆠󠅶󠄸󠆧󠆈.
