Cryptocurrency January 27, 2026

ZetaChain 2.0 Unveils Anuma to Empower Private AI Memory and Cross-Model Connectivity

ZetaChain expands blockchain interoperability principles into AI with privacy-centric interfaces and developer tools

By Avery Klein
ZetaChain 2.0 Unveils Anuma to Empower Private AI Memory and Cross-Model Connectivity

ZetaChain has introduced its 2.0 upgrade alongside Anuma, a privacy-forward AI interface that enables seamless, secure interaction across various AI models while preserving user data confidentiality. Building on its success in blockchain interoperability, ZetaChain 2.0 offers developers a platform integrating cross-model AI execution, encrypted persistent memory, and monetization capabilities without the need for backend infrastructure. Anuma exemplifies this advancement by providing users with access to multiple AI providers in one interface where context and memory remain under their control, addressing fragmentation and privacy challenges in the current AI landscape.

Key Points

  • ZetaChain 2.0 introduces an AI interoperability platform combining multiple AI model providers with encrypted persistent user memory, promoting privacy and flexibility in AI application development.
  • Anuma, built on ZetaChain 2.0, is the first consumer-facing product providing seamless AI model access with user-controlled private memory, addressing fragmentation and improving user control in AI experiences.
  • ZetaChain’s evolution leverages its blockchain interoperability expertise to unify AI and blockchain functions, supporting developers with an SDK that integrates privacy, cross-model connectivity, and monetization without backend requirements.

ZetaChain has announced the beta release of Anuma, an AI interface prioritizing user privacy and built on the newly launched ZetaChain 2.0 platform. This development marks an extension of ZetaChain’s approach of universal blockchain connectivity into the AI domain, offering a framework that enables applications to operate fluidly across different AI models while maintaining strict user data privacy.

The launch was accompanied by the public waitlist for Anuma, which operates as a privacy-first AI experience allowing users to access and switch among top AI models without losing contextual continuity or compromising ownership of their private memory. This innovative interface aims to rectify the prevalent issues in AI adoption, notably the high ecosystem fragmentation and user lock-in to individual AI subscriptions.

ZetaChain’s core contributor, Ankur Nandwani, who played a pivotal role in the creation of the Basic Attention Token (BAT) underpinning the privacy-centric Brave browser ecosystem, highlighted the transition of privacy-first principles from the web browsing context to AI. The Brave browser, with over 100 million monthly active users, set a precedent by automatically blocking trackers and ads, and Anuma intends to replicate this privacy-first ethos within the AI user experience where maintaining contextual memory is increasingly pivotal.

The current AI market exhibits rapid expansion, with platforms such as ChatGPT achieving 100 million users within two months of launch, and OpenAI reporting 800 million weekly active users by late 2025. Despite this growth, fragmentation persists, as reflected by only 9% of users subscribing to multiple AI services which reinforces model-layer lock-in. This fragmentation compels developers to redundantly reconstruct integration logistics, from routing and state management to billing, with user data and privacy often inadequately protected across providers.

ZetaChain’s original architecture addressed the Web3 domain’s fragmentation by enabling universal applications that can natively interact with assets like Bitcoin and facilitate execution across numerous blockchains via a single platform. By 2025, the network supported over 11.5 million users and processed in excess of 225 million transactions. ZetaChain 2.0 carries forward this integrative vision, bridging blockchain and AI by offering AI interoperability that includes embedded permission management and private context preservation.

The ZetaChain 2.0 framework consists primarily of two components:

  • AI Portal: A comprehensive routing and execution layer empowering applications to connect seamlessly with multiple AI model providers. This portal incorporates mechanisms for availability assurance, fallback options, and optimization balancing between cost and performance, thereby mitigating service lock-in risks.
  • Private Memory Layer: A protocol-level system dedicated to encrypted, permissioned memory storage. This enables persistent user experiences across sessions and allows users to maintain control over which applications or agents have access to their private contextual data.

Complementing these foundational elements, ZetaChain 2.0 delivers a developer SDK designed to consolidate private persistent memory management, cross-model interoperability, and monetization primitives into one integrated toolset. This toolkit facilitates the construction of privacy-first applications and agents capable of sustaining session continuity, connecting to diverse AI models, and monetizing on a global scale through both blockchain-based settlements and conventional payment gateways. The SDK notably removes the need for development teams to create custom backend infrastructure supporting these functions.

As the first showcase of this advanced platform, Anuma exemplifies the practical application of ZetaChain 2.0’s capabilities by offering consumers a unified interface to access multiple AI models without sacrificing privacy or context retention. A public waitlist allows interested users to request early access to the product.

Ankur Nandwani emphasized the relevance of strong privacy defaults in achieving widespread consumer adoption: "Brave and BAT demonstrated that embedding privacy into the user experience from the outset can drive mass-market success. With ZetaChain powered by over 225 million transactions, we are now extending this model to AI. ZetaChain 2.0 will empower the next generation of inter-model and multi-chain AI apps with built-in private, permissioned memory and seamless global monetization."

Backing ZetaChain’s initiatives is a $27 million funding round finalized in 2023, attracting several prominent investors including Blockchain.com, Human Capital, VY Capital, Sky9 Capital, Jane Street Capital, VistaLabs, CMT Digital, Foundation Capital, Lingfeng Capital, and GSR, among others.

ZetaChain continues building a universal layer for AI and Web3 integration, facilitating application development that spans blockchains and AI models while securing user memory and monetization channels. The platform’s native connections across major blockchains, coupled with the AI interoperability stack integrating a Private Memory Layer, are foundational to emerging tools and experiences across decentralized finance and emerging AI ecosystems.

For further engagement, users and developers can connect with ZetaChain through their official channels on X (formerly Twitter), Discord, and Telegram.

Risks

  • The AI ecosystem's current fragmentation and subscription lock-ins may impede rapid adoption of unified AI platforms like ZetaChain 2.0 and Anuma among consumers and developers.
  • Privacy and permissioning mechanisms require robust implementation and user trust to ensure adoption, raising concerns over security and control over sensitive user data.
  • Dependence on continued developer engagement and market acceptance is critical for the growth of ZetaChain's platform; failure in widespread SDK adoption could limit its impact in both AI and blockchain sectors.

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