Zeph x Oasis – Enabling Verifiably Private AI Companions

The Problem: AI Companions Are Not Private

AI-powered chat companions have seen rapid adoption across various industries. However, most of these applications rely on centralized infrastructure, exposing user conversations to privacy risks.

  • AI interactions are typically processed on third-party servers, where data is stored and analyzed.
  • Companies often retain and monetize conversational data, raising concerns about data ownership and security.
  • The Muah.ai data breach, which exposed the private conversations of 1.9 million users, highlights the vulnerabilities of existing AI solutions.

For AI to be truly user-centric, privacy must be a fundamental design principle, not an afterthought. This is where Zeph, powered by Oasis’ Sapphire confidential computing, is redefining AI privacy.

Introducing Zeph: A Privacy-Preserving AI Companion

Zeph is an AI companion that operates without reliance on centralized AI providers. Instead, it leverages confidential computing on the Oasis Network to ensure that user interactions remain private, secure, and verifiably protected.

  • Local AI model execution – AI models are deployed on the user's device, eliminating the need for third-party processing.
  • Trusted Execution Environments (TEEs) – Utilizing Sapphire’s TEEs, Zeph ensures that AI models operate within a secure enclave, making data access and extraction impossible—even to the system owner.
  • Nvidia Confidential Compute – By integrating with H100s/H200s, Zeph secures AI inference at the hardware level, providing additional layers of privacy protection.

This approach mitigates the risks of data breaches, unauthorized access, and third-party surveillance, establishing a new standard for AI security.

The Role of Confidential Computing in AI Privacy

Traditional AI applications operate in environments where data security is dependent on corporate policies and centralized access controls. In contrast, confidential computing ensures that data remains encrypted and inaccessible, even during processing.

Why This Matters for AI Companions

  • Prevents unauthorized data access – AI interactions remain within a secure execution environment, inaccessible to external entities.
  • No reliance on centralized AI providers – Users retain full ownership and control over their AI-generated data.
  • Mitigates large-scale data breaches – By removing third-party intermediaries, Zeph eliminates a major attack surface for AI privacy breaches.

By integrating Oasis Sapphire's TEEs and Nvidia Confidential Compute, Zeph demonstrates how confidential AI can be both practical and scalable.

Oasis Foundation Grant: Supporting the Development of Private AI

Recognizing the importance of AI privacy, The Oasis Foundation has awarded Zeph a grant to advance its mission. This support enables Zeph to:

  • Build AI infrastructure optimized for private interactions.
  • Develop open-source models tailored for confidential computing.
  • Leverage Web3 principles to create decentralized, privacy-first AI systems.

Zeph’s work represents a fundamental shift in how AI is deployed, accessed, and secured, aligning with Oasis’ broader vision for privacy-enhancing technologies in Web3.

From ETHGlobal Singapore to the Future of AI Privacy

Zeph's founding team—Kunal (cybersecurity expert), Dylan (scalable infrastructure engineer), and Absinthe (award-winning product designer)—first explored confidential AI solutions at ETHGlobal Singapore. Their combined expertise spans Web3 security, AI development, and decentralized systems, making them uniquely positioned to drive innovation in private AI interactions.

With support from The Oasis Foundation, Zeph is establishing a new paradigm for AI companions—one where users can engage with AI models without compromising their privacy.

Conclusion: The Future of AI Is Private

As AI continues to integrate into daily life, the need for privacy-first solutions becomes increasingly urgent. Zeph’s work underscores the potential of confidential computing to reshape AI privacy standards, making secure, user-owned AI interactions a reality.

🔗 Read more about Zeph’s work and the Oasis grant: https://oasisprotocol.org/blog/zeph-grant-ai-companions

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