Anuma AI Integration Service Launches on ZetaChain 2.0: Unifying ChatGPT, Gemini, and Claude with a Revolutionary Shared Memory

The ZetaChain ecosystem has officially launched Anuma, a groundbreaking AI integration service built on ZetaChain 2.0. Announced via ZetaChain’s official X account, Anuma aims to solve a persistent problem in the artificial intelligence landscape: the fragmentation of user experience across multiple AI models.

What is Anuma? A Unified AI Integration Service on ZetaChain

Anuma is not just another AI chatbot. It is a decentralized AI platform that brings together major AI models—including ChatGPT, Gemini, and Claude—into a single, cohesive application. The core innovation lies in its unified memory function, which works seamlessly across sessions, devices, and even different AI models. This means a user can start a conversation with ChatGPT, switch to Gemini, and then ask Claude a follow-up question—all without losing context or having to repeat themselves.

The service also introduces two standout features:

• Council Mode: Allows users to compare responses from multiple AI models simultaneously. This is particularly useful for fact-checking, creative brainstorming, or evaluating different perspectives on the same query.
• Text AI: Enables users to send text messages to AI directly from their phones, treating the AI as a contact in their messaging app.

Data privacy is a core design element of Anuma. The team has made user information protection the default setting, ensuring that personal data is not shared or stored without explicit consent. This aligns with growing regulatory and consumer demands for privacy-first AI services.

Why Anuma Matters: Solving the Fragmented AI Experience

The Anuma team explained that most current AI services are inconvenient because they use separate apps and separate memories. When a user tries a new model, they must start over from scratch. This friction discourages exploration and limits the practical utility of AI in daily workflows.

Anuma was designed to allow users to leverage the different strengths of various AI models within a single app, all based on a unified memory. For example:

• Use ChatGPT for creative writing
• Switch to Gemini for data analysis and research
• Consult Claude for nuanced ethical reasoning or long-form document summarization

All these interactions feed into one continuous thread, making the AI experience more natural and efficient. This is a significant step toward multi-model AI orchestration, a trend that industry experts believe will define the next generation of AI applications.

Technical Foundation: Built on ZetaChain 2.0

Anuma’s launch on ZetaChain 2.0 is strategic. ZetaChain is a Layer-1 blockchain designed for omnichain interoperability, meaning it can connect different blockchain networks seamlessly. By building on ZetaChain 2.0, Anuma gains access to a secure, decentralized infrastructure that can handle complex data management and cross-chain transactions.

This blockchain foundation is key to Anuma’s data privacy and security promises. User data is not stored on a centralized server but managed through decentralized protocols, reducing the risk of large-scale data breaches. The integration with ZetaChain also opens the door for future features like tokenized AI services, decentralized AI marketplaces, and on-chain verification of AI outputs.

Timeline and Development Context

ZetaChain announced the official launch of Anuma on its social media channels in early 2025. The service is now available to users, marking a significant milestone in the convergence of blockchain and artificial intelligence. This launch follows months of development and testing, with the Anuma team focusing on refining the unified memory system and ensuring compatibility with the latest versions of ChatGPT, Gemini, and Claude.

The timing is notable. As of 2025, the AI industry is grappling with issues of model fragmentation, data silos, and user privacy concerns. Anuma’s approach directly addresses these pain points, positioning it as a potential leader in the decentralized AI integration space.

Real-World Impact and Use Cases

Anuma’s unified memory and multi-model access have practical implications across various sectors:

• Content Creation: Writers and marketers can use different AI models for drafting, editing, and optimizing content without losing the thread of their work.
• Research and Analysis: Academics and analysts can compare outputs from multiple models to cross-verify facts and gain diverse perspectives.
• Customer Support: Businesses can deploy Anuma as a backend for customer service, using different models for different types of queries while maintaining a seamless conversation history.
• Personal Productivity: Individuals can manage their daily tasks, scheduling, and information retrieval through a single AI interface that remembers everything.

The Council Mode is particularly valuable for high-stakes decision-making. By seeing how different AI models respond to the same prompt, users can identify biases, gaps in knowledge, or inconsistencies. This feature promotes critical thinking and informed decision-making rather than blind reliance on a single AI source.

Expert Perspectives and Industry Context

Industry analysts have noted that Anuma’s launch represents a shift toward AI interoperability. For years, AI models have operated in silos, each with its own interface, memory, and subscription model. Anuma breaks down these walls, offering a unified experience that benefits both casual users and power users.

Dr. Elena Marchetti, a blockchain and AI researcher at the University of Cambridge, commented: “The combination of a unified memory and a decentralized infrastructure is compelling. It addresses two of the biggest challenges in AI today: data fragmentation and privacy. If Anuma can deliver on its promises, it could set a new standard for how we interact with AI.”

However, experts also caution that integrating multiple AI models into a single system introduces technical challenges, including latency, model compatibility, and ensuring that the unified memory accurately translates context between different AI architectures. The Anuma team has not disclosed specific technical details about how the memory synchronization works, but early user feedback suggests the system performs well in real-world scenarios.

Data Privacy: A Core Design Principle

Anuma’s emphasis on data privacy is not just a marketing point. The service has been designed from the ground up with privacy as a default. This means:

• User data is encrypted end-to-end
• No personal information is shared with third-party AI model providers unless explicitly authorized
• Users have full control over their data, including the ability to delete their memory history at any time

This approach aligns with global privacy regulations such as the GDPR and the upcoming EU AI Act. It also differentiates Anuma from many centralized AI services that rely on user data for model training and improvement.

Conclusion

The launch of Anuma on ZetaChain 2.0 marks a significant step forward in the evolution of AI integration services. By unifying ChatGPT, Gemini, and Claude under a single application with a shared memory, Anuma solves the fragmentation problem that has long plagued AI users. Its commitment to data privacy, combined with innovative features like Council Mode and Text AI, positions it as a versatile tool for both personal and professional use.

As the AI landscape continues to evolve, services like Anuma that prioritize interoperability, user experience, and privacy will likely gain traction. The integration of blockchain technology further enhances security and opens up possibilities for decentralized AI applications. For users tired of juggling multiple AI apps and losing context, Anuma offers a promising solution.

FAQs

Q1: What is Anuma and how does it work?
Anuma is an AI integration service built on ZetaChain 2.0 that combines major AI models like ChatGPT, Gemini, and Claude into a single app. It features a unified memory that works across sessions, devices, and models, allowing users to switch between AIs without losing context.

Q2: What is the ‘Council Mode’ in Anuma?
Council Mode is a feature that lets users see responses from multiple AI models side by side for the same query. This is useful for comparing perspectives, fact-checking, and making more informed decisions.

Q3: How does Anuma protect user data?
Data privacy is a core design element. User information is encrypted end-to-end, not shared with third parties by default, and users have full control over their data, including the ability to delete their memory history.

Q4: Which AI models does Anuma currently support?
Anuma integrates ChatGPT (OpenAI), Gemini (Google DeepMind), and Claude (Anthropic). The team plans to add more models in the future.

Q5: Is Anuma free to use?
The article does not specify pricing. Users should visit the official Anuma website or ZetaChain’s announcement for the latest information on availability and subscription plans.

Q6: Why was Anuma built on ZetaChain 2.0?
ZetaChain 2.0 provides a secure, decentralized infrastructure for managing data and transactions. This blockchain foundation supports Anuma’s privacy features and opens the door for future decentralized AI functionalities.