Preface

In the rapidly developing field of Artificial Intelligence (AI) today, data privacy and security are increasingly becoming the focus of attention, and Privasea AI Network is proposing a revolutionary solution to this challenge.

What is Privasea AI?

(Source:@Privasea_ai)

Privasea AI Network provides groundbreaking solutions to privacy-related challenges in the field of artificial intelligence. The testnet introduces an innovative architecture that integrates Fully Homomorphic Encryption (FHE) with blockchain technology, offering an innovative and efficient framework for privacy computing, meeting the market’s urgent demand for decentralized AI computing and data privacy.

The core features of Privasea AI Network

The core of the Privasea AI Network lies in using encrypted data for machine learning inferences, ensuring the confidentiality and integrity of the data throughout the computation process, achieving true privacy protection. Data owners do not need to worry about data leakage or unauthorized access. AI models can directly operate in the encrypted data space and produce results. The following are the three key points:

1. Confidential machine learning inference
   Privasea AI completely changes the traditional machine learning inference mode. In the past, data often needed to be decrypted during the calculation process and exposed to computing nodes. Through FHE technology, Privasea AI can directly perform calculations on encrypted data and generate similarly encrypted results. Throughout the entire process, data remains confidential and is not leaked to computing nodes, ensuring privacy and security.
2. Advanced system architecture
   Privasea AI combines FHE and blockchain incentive mechanisms to build an efficient and secure decentralized computing network. Users can securely submit machine learning tasks, perform encrypted calculations through Privanetix nodes, and ultimately decrypt and return results to users through Decryptor nodes. This design not only protects data privacy but also improves computational efficiency.
3. Data Value Sharing
   Privasea AI does not require users to share original data, but encourages sharing the value of data and computation results. In this way, users can participate in decentralized AI computing while protecting privacy and receive corresponding rewards.

Introduction of Privasea AI’s roles

Privasea AI Network mainly consists of three roles:

• Network Users: Owners of data and task initiators, responsible for submitting encrypted data for computation and paying the corresponding service fees.
• Privanetix Nodes: Decentralized computing nodes responsible for processing encryption tasks and submitting results.
• Decryptors: Responsible for decrypting the computation results and returning the results to Network Users.

The secure data transmission and transaction settlement among these three are carried out through blockchain, ensuring that each link is transparent and trustworthy.

The system architecture of Privasea AI

The system architecture of Privasea adopts the decentralized computing network Privanetix, combined with FHE technology to ensure the privacy of data and the security of operations. Its design philosophy emphasizes:

• Privacy-preserving machine learning: Performing computations on encrypted data through FHE technology.
• Seamless user interaction: provide a simple and easy-to-use API, allowing users to participate without the need to understand complex encryption technology.
• Blockchain incentive mechanism: Introducing a hybrid model based on Proof of Work (PoW) and Proof of Stake (PoS) to incentivize nodes to participate in computing.

Token Economics of Privasea AI

The ecosystem of Privasea AI is supported by its native token PRAI, with a total fixed supply of 1,000,000,000 PRAI. The design of PRAI aims to facilitate the operation of privacy computing and incentivize participants in the decentralized network. The token distribution is as follows:

• Mining 1: 30%
  Allocate 30% of the total supply to support mining rewards for the blockchain network, ensuring the security and stable operation of the network.

• Marketing and Community: 12.97%
  For marketing promotion and community building, promoting the expansion of the ecosystem and enhancing brand awareness.

• Investors: 13.45%
  Providing early investors with support for project development and fundraising.

• Reserve: 10.05%
  As an ecological reserve, it is used for the resources needed for future project development, partnership relationships, and ecological growth.

• Team: 8%
  Reserved for project development team to incentivize long-term technical innovation and community maintenance.

• Early Contributors: 9.04%
  To reward early ecosystem contributors for their support and participation in the project.

• Liquidity: 4%
  To ensure trading liquidity, support market stability, and provide a convenient trading experience.

• Future Airdrop: 3%
  Reserved for future airdrop activities to facilitate new user entry into the ecosystem.

• Binance IDO Wallet: 2%
  Token reserved for Binance’s IDO (Initial DEX Offering) to ensure initial liquidity and trading support.

• Mining 2: 5%
  Reserve an additional 5% for later mining incentives to further promote the long-term operation and stability of the network.

• Marketing and Community 2
  2%: An additional 2% is allocated for further market promotion and community operations.

• Strategic: 0.5%
  Reserve a small portion of tokens for strategic partners to promote long-term ecological cooperation.

(Source: privasea.ai/blog)

This token distribution design can ensure the stable development of Privasea AI’s ecosystem, while taking into account community incentives, liquidity protection, and the sustainability of long-term operations.

Token Usage

• Access to confidential AI computing: PRAI is used to pay for privacy computing services, including encrypted inference, data analysis, and decentralized computing.
• Trading fees: All encrypted calculations and data transmissions within the Privasea network require PRAI as fees.
• Proof-of-Humanity (PoH) verification: PRAI is used for identity verification and decentralized identification in the ImHuman application.
• Launching and Customizing the AI Agent: Use RAI to start and adjust the decentralized AI Agent, enhancing the operation of automated tasks.
• Staking and Network Security: Users can stake RAI to support network operation, earn rewards, and ensure the stability of private computation.

Use cases of Privasea AI

The application scope of Privasea AI is quite extensive, covering areas such as DeFi, medical data privacy, enterprise data sharing, and AI model privacy computation. Through FHE’s privacy computing technology, enterprises and individuals can securely conduct data analysis and machine learning without exposing raw data, solving the risk of data leakage in traditional AI applications.

The future development of Privasea AI

The development potential of Privasea AI mainly comes from the rapid growth of data privacy needs. With the deepening reliance of enterprises on confidential data, especially in the fields of healthcare, finance, and enterprise data analysis, the demand for privacy protection will continue to increase. Privasea’s decentralized privacy computing technology can provide excellent solutions for these high-privacy requirement markets. In addition, the popularity of Web3 and decentralized computing will become mainstream. Privasea’s design concept coincides with future market demands and has the potential to become a leader in the field of privacy computing.

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Summary

Privasea AI is reshaping the future of decentralized privacy computing. By combining FHE technology with blockchain, it not only protects data privacy but also provides efficient AI computing services. As the Web3 era approaches, Privasea has opened a secure and trustless data processing gateway for enterprises and individuals, potentially becoming a pioneer in privacy computing.