How does Lagrange make 'verification' a new standard?
In the Web3 world, trust is no longer reliant on centralized institutions, but built on 'zero-knowledge proofs'; in the AI world, trustworthy output is becoming a core demand. Lagrange strongly stands at the intersection of both, upgrading 'verification' from a luxury to a standard configuration.
Its ZK Prover Network is the first production-grade distributed proof network, integrating the restaking security mechanism of EigenLayer, and supported by top-tier operational nodes, capable of rapidly generating on-chain trusted proofs to support various needs such as AI inference, Rollup verification, and cross-chain queries   .
At the same time, the ZK Coprocessor allows complex data queries to be executed off-chain before submitting proofs on-chain—smart contracts can access historical on-chain states or perform complex calculations without bearing high Gas costs, bringing a new dimension of efficiency to DeFi applications and data-driven protocols  .
DeepProve is Lagrange's flagship zkML product, ensuring that AI inference results are verifiable without leaking model details—guaranteeing both speed and privacy .
In terms of economic mechanisms, the LA token realizes a closed loop of 'demand—proof—incentive—governance': users pay proof fees, part of which is used to buy back LA to pay the provers; a 4% annual inflation provides continuous subsidies to the network; token staking and delegation enhance security and value stability; holders can participate in governance, changing protocol fee rates and fund management  .
In summary, Lagrange is building an infrastructure platform of 'AI verifiable + blockchain scalable', making 'verifiability' a standard feature of new era technologies. How will intelligence and trust coexist in future society? The answer may lie here.
