Data Privacy
Growing concerns over data privacy and security in AI training and computation.
Growing concerns over data privacy and security in AI training and computation.
Difficulty in verifying the source and integrity of data and computation process.
No access to AI models trained by privacy data for the public.
Enable the fragmentation of AI model copyrights and revenue distribution through the Story Protocol or ERC6551, incentivizing data contribution and model usage.
Motivate users to re-stake through the usage plan to obtain active verification services.
Allow anyone to establish a privacy-computing node network, train AI models, and provide APIs.
Serve as an oracle network to provide AI inference results for EVM blockchains, supporting applications such as prediction markets.
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