ZetaChain 2.0 Launches with AI Interoperability Layer and Anuma Consumer Interface

2 hour ago 7 sources positive

Key takeaways:

  • ZetaChain's AI pivot leverages its existing Web3 user base to challenge centralized AI model providers.
  • The Private Memory Layer could become a key differentiator if AI data privacy concerns intensify.
  • Watch for ZETA token utility expansion as the SDK aims to capture developer activity on the new layer.

ZetaChain has announced the beta launch of ZetaChain 2.0, a new AI interoperability layer, alongside a public waitlist for Anuma, a privacy-first AI interface built on the upgraded platform. The announcement positions ZetaChain as a "universal layer for AI and Web3," aiming to unify fragmented ecosystems.

The core innovation of ZetaChain 2.0 is its two-component architecture. The AI Portal serves as a unified routing and execution layer, allowing applications to access multiple AI model providers without vendor lock-in, with built-in support for availability, fallback, and cost optimization. The Private Memory Layer is a protocol-level system designed to keep user context encrypted and permissioned, enabling persistent experiences across sessions while maintaining user control over data access.

Ankur Nandwani, a Core Contributor at ZetaChain who previously co-created the Basic Attention Token (BAT), highlighted the project's philosophy. "Brave and BAT proved that privacy-first defaults can win at consumer scale," he said. "We've already unified the blockchain experience at scale, powering more than 225 million transactions. ZetaChain 2.0 extends that same approach to AI."

The project cites rapid AI adoption—with OpenAI reporting 800 million weekly active users by late 2025—coupled with ecosystem fragmentation as key market problems. Only 9% of consumers pay for more than one AI subscription, creating lock-in and forcing developers to rebuild infrastructure repeatedly.

ZetaChain 2.0 is also launching with a developer SDK designed to package private memory, cross-model interoperability, and monetization tools into a single toolkit. This aims to let developers build apps that can maintain user continuity, connect to multiple AI models, and support global monetization without custom backend infrastructure.

The network has demonstrated significant scale in Web3, reporting over 11.5 million users and processing more than 225 million transactions in 2025. The project is backed by a $27 million funding round from investors including Blockchain.com, Human Capital, VY Capital, and Jane Street Capital.

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