The integration of web3.0 and AI is very good now, Lagrange is addressing the three most challenging problems in the AI field with zero-knowledge proof (ZK) technology: trustworthy computing, data privacy, and cross-chain invocation.
It does not simply move the model onto the chain, but instead introduces a ZK co-processor, efficiently executing the training and inference processes off-chain, and then securely uploading the results to the chain for verification using ZK proofs—thus reducing costs and enhancing auditability.
(Data privacy is unquestionable) This model is particularly important for industries like finance and healthcare, which have very high demands for data transparency. Lagrange's parallel processing capability comes from its innovative Reckle Trees architecture, allowing AI tasks to be decomposed and processed in parallel, which accelerates model execution while maximizing user privacy protection.
Moreover, the compatibility is too high! Lagrange inherently possesses strong multi-chain compatibility, natively adapting to chains like Ethereum and Solana, enabling cross-chain state verification. This means that AI is no longer limited to single-chain data silos and can safely access sensitive information such as identity and assets across multiple ecosystems, unleashing stronger intelligent capabilities.@Lagrange Official #lagrange $LA
