The startup develops a computing platform that utilizes trusted execution environment (TEE) abstraction middleware to enhance verifiable on-chain AI applications. This technology enables developers to deploy user-owned AI models securely, addressing the need for trust and transparency in AI deployment.
Funding
$3.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current on-chain AI applications lack transparency and verifiability, making it difficult for users to trust the integrity and security of AI models deployed on decentralized platforms. Developers need a secure and reliable way to deploy user-owned AI models without compromising data privacy or model ownership.
Solution
RENA provides a computing platform that leverages trusted execution environment (TEE) abstraction middleware to enable verifiable on-chain AI applications. This technology allows developers to deploy user-owned AI models in a secure environment, ensuring that computations are performed with integrity and that the results can be verified on the blockchain. By abstracting the complexities of TEEs, RENA simplifies the development process and makes it easier for developers to build trust and transparency into their AI applications. The platform empowers users to retain control over their AI models while benefiting from the decentralized nature of blockchain technology.
Target Audience
The primary target audience includes AI developers, blockchain developers, and enterprises seeking to build secure, transparent, and verifiable AI applications on decentralized platforms.
Features
- TEE abstraction middleware for simplified integration with various TEE technologies
- Secure deployment of user-owned AI models on-chain
- Verifiable computation results through cryptographic proofs
- Support for a wide range of AI models and frameworks
- Enhanced data privacy and model ownership for users