What Binance Isn’t Telling You About Lagrange’s ZK Power

Key Takeaways:

Lagrange (LA) becomes the 26th project featured in Binance’s HODLer Airdrops, with 15 million LA tokens distributed to eligible BNB holders.
The project raised $17.2 million to build ZK-based infrastructure enabling verifiable AI and cross-chain computation.
LA token debuted on Binance Spot Market with a circulating supply of 193 million and five major trading pairs.

Binance has officially launched the LA token from Lagrange, an ambitious zero-knowledge proof (ZK) infrastructure protocol targeting one of crypto’s biggest frontiers: verifying AI and blockchain data at scale. The airdrop marks a major step in aligning crypto staking incentives with scalable, privacy-preserving computation.

What Is Lagrange and Why It’s Gaining Attention

Lagrange is a blockchain infrastructure platform designed to help developers generate and verify zero-knowledge proofs (ZKPs) for AI inference, historical blockchain data, and off-chain computation, without sacrificing decentralization or privacy.

This initiative is especially relevant as AI continues to merge with Web3, and demand for verifiable, auditable intelligence grows.

Core Components of the Lagrange Stack

ZK Prover Network

A decentralized set of operators generates zero-knowledge proofs on demand. Backed by major players like Coinbase Cloud, OKX, and Kraken, the network processes off-chain computation and delivers cryptographic proofs that smart contracts can verify.

The architecture supports parallel tasking across rollups, chains, and dApps, enabling high-throughput and scalable verifiability.

ZK Coprocessor

This module allows developers to query smart contract storage across chains using SQL-like syntax. Think of it as a decentralized alternative to oracles, block explorers, and custom indexers, equipped with built-in ZK validation.

For example, a DeFi app can compute a user’s average trade size across Base, Linea, and Polygon, and submit that result with proof to Ethereum, all without relying on bridges or third-party APIs.

DeepProve (zkML)

One of DeepProve’s highlights is that it supports zero-knowledge verification of the AI predictions. Developers can verify that a certain output came from the machine learning model without having to expose both the model as well as the data.

This opens up sensitive AI technology for industries including finance, health care and compliance that can’t operate without privacy.