The three biggest AI companies in the world are in court right now.
OpenAI, Google, Meta. All facing lawsuits over training data. The New York Times. Coalition of authors. Getty Images. The claims are different but the core argument is the same — you used our work to build something worth billions and we didn't consent and we didn't get paid.
Nobody knows exactly how these cases will end. But the direction is clear. Regulators in the EU passed the AI Act with transparency requirements around training data. US regulators are moving the same way.
For any company building AI products right now, this creates a real compliance problem. How do you prove your models were trained on properly licensed data? How do you generate an auditable record that satisfies a regulator or a court?
That's the exact problem @OpenLedger solved.
When a model trains on data inside the network, the system generates a verifiable on-chain record of that contribution. When the model earns revenue, royalties flow automatically to the rights holder in $OPEN.
The compliance team can show regulators an auditable record. The rights holder receives continuous income without filing any claims. The AI company can train on high-quality datasets that were previously off-limits.
All three parties win.
The demand for this infrastructure grows with every new lawsuit filed and every new regulation passed.