Imagen Network expands its blockchain interoperability by integrating with Kadena’s Chainweb EVM, enabling scalable, low-fee execution and seamless creator experiences throughout chains.
October 22, 2025 8:49 AM EDT | Supply: Kaj Labs
London, United Kingdom–(Newsfile Corp. – October 22, 2025) – Imagen Network (IMAGE), the decentralized AI-powered creator and social platform, right now introduced its deliberate help for the Kadena Chainweb EVM community. The combination permits Imagen to leverage Kadena’s high-throughput, multi-chain Proof-of-Work structure to ship improved efficiency, enhanced scalability, and extra environment friendly operations for creators and customers alike.
Bridging creativity and know-how for a decentralized digital future.
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Kadena’s Chainweb EVM introduces EVM-compatibility on a horizontally scalable Layer 1 infrastructure, providing acquainted Solidity tooling, ultra-low gasoline charges, and parallel execution throughout a number of chains. By integrating with this community, Imagen Network will provide creators entry to a stronger backend for content material supply, monetization modules, and decentralized governance—whereas decreasing transaction prices and bettering throughput for creator economies.
“By bridging Imagen Network with Kadena’s Chainweb EVM, we’re reinforcing our dedication to a decentralized future the place creators work effortlessly, and communities develop with out limits,” stated J. King Kasr, Chief Scientist at KaJ Labs.
This strategic interoperability initiative aligns with Imagen’s broader goal to merge adaptive AI know-how with sturdy blockchain infrastructure—empowering creators, nurturing communities, and constructing social techniques that scale globally.
About Imagen Network (IMAGE)
Imagen Network is a decentralized platform that fuses AI-driven personalization, creator autonomy, and blockchain transparency. With modular design and multi-chain help, Imagen permits creators and customers to take part in scalable digital ecosystems constructed for the way forward for Web3.
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