Privasea AI: A pioneer in privacy computing that combines Homomorphic Encryption and Blockchain.

The core technology of Privasea AI

Privasea AI adopts fully homomorphic encryption technology to enable machine learning inference on encrypted data, ensuring that the data remains encrypted throughout the computation process, thus preventing any unauthorized data leakage. Combined with the decentralized architecture of Blockchain, it guarantees the transparency and security of computations.

System Architecture and Operating Model

The platform consists of Network Users, Privanetix computing nodes, and Decryptors decryption nodes. Users submit encryption data, the Privanetix nodes are responsible for encryption computation, and the Decryptors nodes decrypt the results and send them back. The entire process is securely recorded and settled on the Blockchain.

Token Economy and Incentive Mechanism

The total supply of PRAI tokens is 1 billion, with allocations covering mining rewards, community promotion, early investors, team and ecosystem development. PRAI is used to pay for privacy computing service fees, transaction fees, identity verification, and governance staking, supporting the sustainable operation of the ecosystem.

Wide application scenarios

Privasea AI is suitable for high privacy demand fields such as finance, healthcare, and corporate data analysis, allowing for the secure sharing and analysis of sensitive data, promoting privacy-preserving operations of AI models, and addressing the risks of traditional data leakage.

Future development potential

As the demand for data privacy continues to grow, Privasea AI is expected to become a leader in the field of privacy computing. Its innovative technology and decentralized governance model align with the development trends of Web3, promoting a secure and efficient AI computing ecosystem.

Summary

Privasea AI Network provides a revolutionary solution for privacy protection and decentralized AI computing by integrating FHE and Blockchain. It not only ensures data security but also lays a solid foundation for future AI and Web3 applications.