Standing at the node of Web3 technology iteration, Lagrange's development direction is aimed at a future of 'more efficient and more universal' verifiable computing.
In the short term, its core goal is to improve the efficiency of proof generation. The team is optimizing the parallel computing architecture of the ZK co-processor, planning to increase the generation speed of complex tasks (such as AI inference proof) by another 50%, enabling high-concurrency scenarios (such as large-scale NFT minting verification) to be stably supported. At the same time, they are expanding the cross-chain support range, planning to add zero-knowledge proof services for 5 mainstream public chains within the year.
In the long term, they aim for the 'standardization of verifiable computing.' Lagrange is promoting the establishment of industry standards for 'off-chain computation proofs,' allowing different projects' ZK proofs to be mutually recognized and reducing the collaboration costs across ecosystems. Looking further ahead, they hope to extend the technology to 'on-chain verifiable machine learning,' allowing the training process of AI models to also be verified on-chain through ZK proofs, completely resolving the trust issue in AI.
The development of Web3 requires the coexistence of 'efficiency and trustworthiness,' and Lagrange's exploration is providing answers for this balance. In the future, when users complete transactions on-chain or use AI services, they will no longer have to sacrifice 'speed for security' or 'security for privacy,' which may represent the ideal form of Web3 computing.
