Published Jul 3, 2025
By Team Warden

Warden Integrates Hyperlane to Expand AI Interchain Across 100+ Blockchains

July 2025 – Warden Protocol, the home for Intelligent Applications, has announced a strategic partnership with Hyperlane, the leading modular interoperability framework. The collaboration will make the output from Warden’s Asynchronous Verifiable Resources (”AVRs”), including AI output, universally accessible across 150+ blockchains — from Ethereum and Solana to Cosmos-based ecosystems and beyond.

“Warden AVRs, distributed via Hyperlane, make AI accessible on any chain. Hyperlane’s interoperability enables Warden to expand its features across 100+ blockchains—whether you’re building on Ethereum, Solana, Cosmos, or beyond.” said Jon Kol, Hyperlane co-founder.

Through this integration, developers can now access verifiable AI anywhere, unlocking a new design space. This milestone reinforces Warden’s vision of a future where intelligence is not siloed, but distributed and composable across chains.

“Hyperlane’s open framework for interoperability allows us to make onchain AI ubiquitous, powering our mission to make AI accessible from anywhere,” said David Pinger, CEO Warden Labs.

This partnership marks a significant step toward Warden’s goal of becoming the full stack for AI — enabling a new wave of intelligent apps, agents, and smart contracts. By combining Warden’s AI-native infrastructure with Hyperlane’s permissionless interoperability layer, the future of intelligent applications becomes borderless.

About Warden

Warden is a purpose-built stack for AI, breaking open a new design space for intelligent applications. Our foundational infra let’s developers build with AI, from any chain, alongside a flagship crypto co-pilot app with over 700k users. Learn more at wardenprotocol.org

About Hyperlane

Hyperlane is an open framework for interoperability. It is the toolkit empowering developers to connect any chain and build applications that can easily and securely communicate between multiple blockchains.