@Lagrange Official is here! ZK technology makes cross-chain computing a thing of the past.

How can we ensure data hasn't been tampered with during cross-chain computing? How can we prove the authenticity of AI output? These long-standing questions in the blockchain industry now have new answers. @Lagrange Official has created a zero-knowledge proof (ZK) network. #lagrange uses hardcore technology to inject "verifiability" into blockchain, making "trust" no longer a vague, unquantifiable concept.

As a Web3 project focused on ZK technology, @Lagrange Official boasts a highly competitive technology portfolio. Its decentralized ZK proof network, with participation from industry giants like Coinbase and Kraken, ensures both network security and decentralization. The ZK coprocessor radically simplifies on-chain query processes, making operations comparable to SQL and significantly lowering the barrier to entry for developers. The DeepProve zkML engine achieves a 158-fold increase in AI proof speed, enabling efficient generation of "proofs of integrity" for AI inference results and providing a "cryptographic trust lock" for AI.

The LA token is the core of the ecosystem. Nodes wishing to undertake proof tasks must first stake $LA as a security deposit. Failure to complete proofs on time or errors will result in a portion of the deposit being deducted to ensure high-quality delivery. Developers using the proof API use LA as a designated fee. The community participates in network rule adjustments, and LA holders possess voting rights. Its token design balances scarcity and practicality: with a total supply of 1 billion, only 4% is issued annually, and some tokens are destroyed, deeply tying the token's value to the actual usage of the network. Currently, mainstream chains such as ZKsync and AltLayer have integrated its cross-chain proof service. DeFi protocols also use it to generate proof-backed results when querying historical data, eliminating the risk of data tampering at the root. #lagrange

@Lagrange Official also prioritizes developer experience: no in-depth knowledge of ZK's complex mathematical principles is required; integration can be quickly achieved through API calls. Previously, an AI project spent three months building its own proof circuit to verify model output, still encountering frequent errors. After integrating @Lagrange Official , the process was completed within the same day, and proof results were verified on-chain in seconds. $17.2 million in funding, backed by Founders Fund and EigenLayer.