Binance Labs Invests in Brevis to Advance Off-Chain, Verifiable Computation in Web3

Binance Labs has announced an investment in Brevis, a platform specializing in zero-knowledge (ZK) computation solutions that enable verifiable and trust-free data processing on historical on-chain data. This partnership is part of Binance Labs’ strategy to support early-stage projects aiming to innovate and broaden access to Web3 technologies.Brevis’ ZK-Coprocessor: Expanding Smart Contract CapabilitiesBrevis’ core offering, the ZK-coprocessor, allows smart contracts to perform complex, verifiable computations on historical blockchain data, such as transaction histories, states, and events. This capability introduces new use cases for decentralized applications (dApps), including advanced user engagement, DeFi optimization, and intent automation. By providing a programmable SDK, Brevis enables developers to create computation-heavy dApps without requiring in-depth knowledge of the cryptographic details involved.Collaborations with Leading dApps and Future DevelopmentsSeveral prominent projects, including Kwenta, JoJo Exchange, and Trusta, have already launched features powered by Brevis on the mainnet. Brevis is also partnering with top protocols such as PancakeSwap, Frax Finance, and Gamma to introduce next-generation features. In collaboration with Eigen Layer, Brevis is developing a ZK Fraud Proof mechanism to further reduce proof generation costs and enhance processing speed.Binance Labs’ Vision for Web3 ExpansionAndy Chang, Investment Director at Binance Labs, highlighted the importance of Brevis’ work, stating, “Brevis’ move to create a new asynchronous architecture expands the capability of blockchains without introducing additional trust.” He emphasized that Binance Labs is committed to supporting projects like Brevis that aim to onboard more users into the Web3 ecosystem.Brevis Co-Founder Michael Tung expressed enthusiasm for the partnership, noting that Binance Labs’ investment will enable the company to bridge off-chain computation with on-chain trust, creating new possibilities for data-driven dApps.