NodeOps Secures $5 Million in Funding to Transform Node Infrastructure
NodeOps, a company dedicated to enhancing and simplifying blockchain node deployment and management, has successfully raised $5 million in seed funding. The funding round was led by L1D, with participation from prominent investors such as Blockchain Founders Fund, Finality Capital, Oakgrave Ventures, Douple Peak Group, Momentum6, and Bitscale Capital.
Ray Hindi, Managing Partner at L1D, expressed his support for NodeOps’ mission to remove barriers for developers and node operators, stating that it contributes to a more secure future for the Ethereum ecosystem.
In addition to the institutional investors, NodeOps also received support from angel investors including Richard Ma from Quantstamp, JD Kanani, former co-founder of Polygon, Rushi Manche from Movement Labs, and Dorothy Liu at AltLayer.
NodeOps aims to improve accessibility and efficiency in reliable infrastructure, fostering innovation and growth within the industry. With the new funding, the company plans to activate its next phase, which involves creating a permissionless Node Orchestration Layer Enabling Value Capture Engine for the on-chain ecosystem. The company also aims to expand its operations to support more protocols.
NodeOps is at the forefront of utilizing artificial intelligence as infrastructure for web3 protocols. As the first permissionless infrastructure marketplace on EigenLayer, NodeOps seeks to enhance AI, DePIN, and DeFi protocol infrastructure.
Naman Kabra, co-founder of NodeOps, expressed his excitement about the company’s growth trajectory and the trust placed in them by investors. With the additional capital, NodeOps is well-positioned to revolutionize the node infrastructure landscape, making it more efficient and sustainable.
Furthermore, NodeOps plans to launch an AVS on EigenLayer, which will create a value capture engine for developers and node operators. This initiative aims to provide economic security and improve engagement and productivity within the ecosystem.
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