On Ritual, AI models can be registered, tracked, and monetized on-chain. This creates verifiable ownership and provenance for machine learning models. Developers can prove where a model came from and how it was used. Attribution becomes part of the protocol itself and It turns models into programmable digital assets. gritual
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Ritual is designed to act as a sovereign execution layer for AI across multiple blockchains. Other networks can send AI tasks to Ritual and receive verified results back. It functions like a dedicated AI coprocessor for Web3. This allows chains that lack AI infrastructure to access it securely. Ritual becomes shared infrastructure for decentralized intelligence. gritual
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The @ritualnet VM executes AI models and wraps their outputs in zero-knowledge proofs. This means results can be verified without revealing private data. Computation stays secure while still being provable. Sensitive inputs don’t need to be exposed to the public. It balances transparency with privacy at the protocol level. gritual
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