An increasing number of application chains are emerging, with a surge in demand for DePIN, ZKML, DeAI, DeGame, etc., leading to an exponential increase in on-chain computational pressure. Lagrange has emerged at this time, perfectly filling the gap between off-chain computation and on-chain verification, becoming an indispensable 'processor' in modular infrastructure.

Lagrange's tech stack is based on ZK Coprocessor, with its core capability supporting verifiable off-chain execution. This allows project teams to avoid worrying about on-chain costs while ensuring data security and traceability. For example, an AI project can complete image recognition off-chain and then submit the recognition results to the chain for verification via ZK proof, saving a significant amount of gas and time.

Lagrange also provides integrated capabilities for data indexing, aggregation, and verification, making it particularly suitable for DePIN and data-intensive applications. Its integration method is flexible and compatible with modular structures like OP Stack, Celestia, and EigenLayer, quickly making it the 'invisible engine' for multiple Layer 2 projects.

As a key bridge for off-chain computation to become verifiable, Lagrange allows us to see the potential for on-chain applications to truly embrace complexity. It does not replace anyone, but strongly supports all on-chain architectures. #Lagrange @Lagrange Official $LA