AI calculating answers is already cool enough, but do you know what's cooler? Proving that the source of this answer is legitimate. Lagrange's DeepProve and ZK Coprocessor are designed for this purpose, and LA is the key driving this trust system.
Verification is not just a formality; it is a technical red line
DeepProve: AI inference also needs to prove the real source
Lagrange's zkML framework DeepProve can generate mathematical proofs that "this result is indeed produced by model X running on input X," and the speed is astonishing, making it the fastest zkML system in the industry.
ZK Coprocessor: Enabling complex queries for smart contracts, with audit credentials
This module allows smart contracts to initiate SQL-style off-chain queries and then generate verifiable results back on-chain, connecting to traditional financial systems and data services, making it very suitable for enterprise-level scenarios.
Economically designed reasonably, linking benefits with proofs
LA token fuels the proof market: you pay with LA to buy proofs, verifiers receive LA, creating proof demand that drives token demand. Additionally, there are staking and penalty mechanisms, DAO governance, and token-gated community permissions.
It's easy to hype AI as 'smart,' but verifying 'trustworthy' is not. Lagrange applies zero-knowledge proofs to add transparency and trust to fields like AI and finance, and LA is the fuel and ticket for this system. When used well, it becomes an accelerator in the world of trust.
