Binance Labs has invested in Brevis, a ZK-coprocessor platform that unlocks new use cases for apps by allowing verifiable, trust-free computations on historical on-chain data.
Brevis’ flagship product, the ZK-coprocessor, empowers smart contracts to trustlessly access and run arbitrary computations on historical on-chain data, such as transactions, events, and states, enabling a wide range of use cases from user engagement and retention features to dynamic optimizations for DeFi dApps, intent automation and many more.
Using Brevis’ programmable SDK, developers can build powerful data-driven and computation-intensive dApps to launch new product features without requiring them to understand the underlying cryptographic and mathematical complexity.
Some of their partners have already launched Brevis-powered features on mainnet, such as Kwenta, JoJo Exchange, and Trusta. Other top protocols and dApps, such as PancakeSwap, Usual Money, Frax Finance, Gamma, Quickswap, Tokemak, Algebra, Thena, 0G, and Hemera, are partnering with Brevis to build Brevis-powered next-generation product features. Brevis is also developing an optimistic co-processing with ZK Fraud Proof in partnership with Eigen Layer to further reduce zk proof costs and enhance the speed of proof generation.
“The current landscape of smart contracts offers very simple computation capabilities and limited data access. Brevis’ move to create a new asynchronous architecture expands the capability of blockchains without introducing any additional trust,” said Andy Chang, Investment Director, Binance Labs. “Binance Labs champions early-stage projects that are building innovative solutions to onboard the next wave of users into Web3, and we are excited to support Brevis’ efforts in revolutionizing verifiable computing and unlocking a wide array of possibilities.”
“We’re thrilled to have Binance Labs on board as we accelerate our efforts to redefine verifiable computing and expand what’s possible in Web3,” said Michael Tung, Co-Founder, Brevis. “This investment empowers us to bridge the gap between off-chain computation and on-chain trust, unlocking new possibilities for data-driven dApps.”
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