Solidus AI Tech and Secret Network have announced a technical and strategic partnership aimed at bringing confidential computing capabilities to Solidus AI Tech’s decentralized AI platform. This collaboration enables developers to build and deploy privacy-preserving AI models and tools using Secret Network’s secure infrastructure.

As an initial milestone, Solidus AI Tech has integrated Secret Network’s privacy-focused large language model, SecretAI – DeepSeek R1, into its foundation AI model library. This model supports confidential inference, ensuring that user inputs remain hidden from infrastructure providers and model hosts. The AI Tech development team is evaluating the technical integration in depth.

Both teams are also exploring the integration of SecretVM into the Solidus AI Tech platform as a dedicated AI application. This would allow developers to deploy agents in secure, verifiable environments, leveraging Trusted Execution Environments (TEEs) to protect sensitive data throughout an AI application’s lifecycle, while utilizing cryptographic verification to validate the code any agent executes.

“This collaboration reflects a shared commitment to building secure and decentralized AI infrastructure,” said John Mendez of Solidus AI Tech. “Confidential computing is an important layer for developers and users alike, and we’re excited to work with Secret Network to provide the tools people need.”

Lisa Loud, Executive Director of the Secret Network Foundation, added, “We see this collaboration as an important step in advancing privacy and trust in AI. By working with Solidus AI Tech, we’re making confidential computing more accessible to developers who are building the next generation of intelligent systems.”

Additional plans under discussion include a confidential deployment option within Solidus AI Tech’s Agent Forge interface, enabling users to select SecretVM as their execution environment during agent creation. The collaboration will also feature the creation of a knowledge-based agent trained on Secret Network documentation to assist developers, along with joint marketing and outreach initiatives as integration progresses.

This partnership aligns with both organizations’ vision of ethical AI deployment, robust data protection, and transparent infrastructure. Development planning, sandbox testing, and follow-up meetings are already scheduled in the coming weeks.

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