Orhan 
Binance Labs has announced its investment in Kernel, the foundational restaking infrastructure of BNB Chain. This strategic move aims to transform BNB’s security into a programmable and reliable structure for various crypto applications, services, and middleware. Kernel plans to lead the restaking space by supporting decentralized applications (dApps) with a shared economic security network and creating value for users who participate in restaking.
While restaking has gained significant attention in the Ethereum ecosystem, there remains a large gap in this area among other layer-1 (L1) blockchains. Kernel seeks to fill this gap, starting with BNB Chain, by offering a comprehensive restaking infrastructure.
The project’s first step will be supporting DeFi innovations on BNB Chain using BNB Liquid Staking Tokens (LSTs) and restaked BNB as economic security. Kernel’s future plans include integrating Bitcoin (BTC) and its derivatives as economic security.
More than 20 decentralized applications, including Mira and Electron, will benefit from Kernel’s economic security. Additionally, various LST and LRT projects, such as ListaDAO, Solv, and YieldNest, are collaborating with Kernel to provide more benefits for restaked assets.
Kernel aims to integrate BNB, BTC, and other yield-bearing assets to increase capital efficiency and create new opportunities for users. Through its restaking solutions, Kernel seeks to build a secure and scalable infrastructure for the DeFi and Web3 ecosystems.
Alex Odagiu, Investment Director at Binance Labs, stated, “Kernel is an innovative project aligned with Binance Labs’ mission to support the Web3 ecosystem. Kernel’s restaking solutions enhance the utility of BNB-based assets, fostering a more resilient and developer-friendly DeFi environment.”
Amitej G., one of Kernel’s co-founders, added, “With the support of Binance Labs, we are excited to bring our vision of restaking in the Web3 world to life. We are building a more secure, scalable, and value-driven ecosystem on BNB Chain with Kernel.”
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