Oracles have always been a critical infrastructure in the blockchain ecosystem, and how to ensure data accuracy in a decentralized manner has become a core challenge faced by all developers. One approach worth paying attention to is leveraging AI technology to enhance the data processing capabilities of oracles.

The logic of this solution is as follows: the off-chain component is responsible for parsing complex data such as text and images using AI, and then on-chain verification is performed through multi-signature mechanisms, forming a dual-layer architecture. The benefits are obvious—the response time is in milliseconds, sufficient to handle high-timeliness scenarios such as DeFi flash loans and RWA tokenization.

Based on actual data, this type of solution has already protected over $600 million in on-chain assets, backed by millions of verification data points, ensuring stability. Additionally, because it natively supports multi-chain deployment, it is quite flexible to use. Developers can directly build real-world applications based on this infrastructure.

Overall, this is an interesting attempt to solve the trustworthiness of blockchain data. As more projects begin to focus on the security of the data layer, whether such innovative solutions can become mainstream in the future will depend on market validation.