@SatyaProtocol comes with an on-chain escrow flow for model marketplaces:
- time-locked payments
- milestone-based releases
- dispute resolution
- automatic refund periods
Buyers get protection. Sellers get guaranteed settlement logic, everything enforced by smart contracts.
Encrypted at rest ≠ secure AI.
Encryption only protects the disk. Once a model loads into memory, the host can still modify it.
TEEs protect the runtime itself with encrypted memory + attestation.
That’s the real shift for AI infra and we are building that on @0G_labs.
AI today has a broken incentive loop:
Build/fine-tune a model → others monetize it → you earn nothing.
@SatyaProtocol fixes that with on-chain AI royalties.
Every model is an iNFT that pays creators automatically on every use/sale.
Model creates value → You keep earning.
AI models live in glass boxes. Use them via API but you can't own, fork, or sell them.
Can't even prove they're what the seller claimed. @SatyaProtocol fixes this.
Most AI today still runs on trust.
You trust that the model you downloaded is the real one.
You trust that the provider actually ran the correct model.
You trust that creators will somehow keep getting royalties later.
But none of that is really verifiable.
What’s interesting about @SatyaProtocol is that it combines all 3 layers together:
• integrity-verified storage
• TEE-verified inference
• on-chain ownership + royalties
Built for independent ML engineers who want royalties. Research labs with proprietary models. Enterprises needing auditable provenance. AI agents that can own and trade assets.
AI models live in glass boxes. Use them via API but you can't own, fork, or sell them.
Can't even prove they're what the seller claimed. @SatyaProtocol fixes this.