According to the announcement shared with Bitcoin.com News, the platform leverages Secret Network’s privacy-preserving blockchain technology, focusing on secure and confidential AI interactions. Built on a framework using trusted execution environments (TEEs) and Nvidia graphics processing units (GPUs), Claive AI’s goal is to ensure that user data—including metadata and payment details—remains inaccessible to unauthorized entities.

The Secret Network team believes this approach addresses concerns about privacy breaches and data misuse, common in centralized AI solutions. Developers working with Claive AI can utilize its open-source software and native software development kit (SDK) to integrate confidential AI services. The platform introduces two primary roles within its ecosystem: developers and worker node operators.

Secret explained that developers can connect directly with operators, who provide computing resources, streamlining access without additional infrastructure. Claive AI’s tokenized incentives form a critical component of its ecosystem. Payments within the platform use Secret Network’s confidential SNIP20 tokens, such as sSCRT, sUSDC, and SILK.

Worker nodes, the announcement details, are required to stake SCRT tokens to participate, with a portion of revenues redistributed to benefit SCRT stakers. In its initial rollout, Claive AI will focus on large language model (LLM) inference, with plans to expand to other AI capabilities in future phases. Alex Zaidelson, CEO at Secret Network, detailed that the initiative aims to position Secret Network as a leader in privacy-centric AI technologies.

“Claive AI isn’t just about technology—it’s about empowering people to take control of their AI experiences,” Zaidelson remarked. “Whether you’re a developer building the next big application or a user creating a simple chatbot, Claive AI gives you the tools to innovate with confidence.”

The launch of Claive AI reflects a growing trend toward decentralized solutions in the enterprise AI market, addressing both technological and ethical challenges related to data security and user trust.

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