Privasea AI Network offers a revolutionary solution to the growing concerns surrounding data privacy in artificial intelligence (AI). By integrating Fully Homomorphic Encryption (FHE) with blockchain-based incentives, it enables secure, privacy-preserving AI computations. This innovative architecture allows confidential machine learning inferencing, where AI models can process secret datasets without exposing sensitive information. The result is a system that ensures privacy while meeting the rising demand for collaborative AI computations.
The network's cutting-edge design not only enhances the privacy and security of AI computations but also facilitates data value sharing. Instead of sharing raw data, users can exchange valuable insights while mitigating the risks traditionally associated with data-sharing methods. This fosters a more collaborative environment while maintaining strict confidentiality, thus empowering users to safely contribute and collaborate in AI-driven projects.
Privasea AI Network is powered by token incentives governed by smart contracts, leveraging a hybrid Proof-of-Work (PoW) and Proof-of-Stake (PoS) model for efficient and secure processing. By combining decentralized computing with stringent privacy measures, the platform offers users complete control over their data and AI models. This decentralized approach ensures that AI computations can be performed securely and privately, making it a groundbreaking solution for the future of AI and data privacy.
Explore the tokenomics of Privasea AI(PRAI) and review the project details below.
What is the allocation for Privasea AI(PRAI)?
The total supply of the PRAI token is 1,000,000,000 PRAI, which fuels the Privasea ecosystem, including the DeepSea AI Network and the ImHuman app. The token serves multiple purposes such as enabling access to confidential AI services, paying for encrypted AI computations, and activating personalized AI agents. It also powers transaction fees, staking, governance, and provides access to premium features like advanced Proof-of-Human (PoH) verification. Developers and enterprises can monetize and use PRAI for publishing AI models and accessing Confidential AI services. As the network grows across sectors like healthcare, finance, and Web3, PRAI is central to its utility and incentivization.
What is the supply schedule for Privasea AI(PRAI)?
At the time of the Token Generation Event (TGE), the initial circulating supply will be 20.6% of the total token supply. The distribution includes:
This distribution strategy is designed to kickstart the ecosystem’s growth, ensuring ample liquidity and participation across the community.
Privasea AI Network offers a revolutionary solution to the growing concerns surrounding data privacy in artificial intelligence (AI). By integrating Fully Homomorphic Encryption (FHE) with blockchain-based incentives, it enables secure, privacy-preserving AI computations. This innovative architecture allows confidential machine learning inferencing, where AI models can process secret datasets without exposing sensitive information. The result is a system that ensures privacy while meeting the rising demand for collaborative AI computations.
The network's cutting-edge design not only enhances the privacy and security of AI computations but also facilitates data value sharing. Instead of sharing raw data, users can exchange valuable insights while mitigating the risks traditionally associated with data-sharing methods. This fosters a more collaborative environment while maintaining strict confidentiality, thus empowering users to safely contribute and collaborate in AI-driven projects.
Privasea AI Network is powered by token incentives governed by smart contracts, leveraging a hybrid Proof-of-Work (PoW) and Proof-of-Stake (PoS) model for efficient and secure processing. By combining decentralized computing with stringent privacy measures, the platform offers users complete control over their data and AI models. This decentralized approach ensures that AI computations can be performed securely and privately, making it a groundbreaking solution for the future of AI and data privacy.