The core claim is clear. Data should be processed without being revealed at any stage. The model should work, but the data should remain silent.

At this point, the Privasea AI Network aims to make collaborative AI computation possible without compromising privacy.

Project Vision and Origin

The problem is straightforward. Most existing AI models (such as ChatGPT) require access to decrypted data in order to learn and operate. Privasea’s vision is fundamentally different: enabling AI to process data while it remains encrypted.

In other words, the system follows the principle of “deriving results without seeing the data.”

Privasea’s philosophy is built on value sharing, not data sharing.

• Raw data never leaves its source

• Computation is performed on encrypted data

• Results are produced without revealing the origin

This approach reshapes the rules for sensitive sectors such as healthcare, finance, biometrics, and digital identity.

How Does Privasea AI Work?

Privasea’s architecture is built on three core components.

1. Fully Homomorphic Encryption (FHE)

Thanks to FHE, data remains encrypted at all times. Computation is executed directly within ciphertext. Neither node operators nor AI models can access the raw data.

2. DeepSea AI Network

This network consists of nodes that perform confidential AI inference. Nodes execute FHE-based tasks and are rewarded in PRAI tokens.

3. Blockchain Incentive Layer

• Gas fees

• Staking mechanisms

• Hybrid PoW + PoS structure

This layer ensures both network security and long-term sustainability.

FheID and Proof-of-Human (PoH)

One of Privasea’s most distinctive components is the FheID application. FheID is an on-chain human verification system. But it is not traditional KYC.

• Face

• Voice

• Fingerprint

All biometric data is processed in encrypted form. Identity is verified, but biometrics are never exposed. This creates a critical defense layer against bots in Web3 environments.

Use Cases

Privasea is not a theoretical privacy project. It delivers concrete, real-world applications.

1. Healthcare Data Sharing
   Patient data is encrypted. Doctors can analyze it without seeing the raw records. Control always remains with the data owner.
2. Interbank Data Matching (PSI)
   Two banks can identify shared clients without revealing their datasets. Information leakage is eliminated.
3. Secure Biometric Verification
   Biometric data is never stored or copied. Only verification results are generated.
4. Encrypted Data Analytics
   Large datasets are no longer unusable. With FHE, meaningful analysis becomes possible.

Token Statistics

• Total Supply: 1,000,000,000 PRAI

• Max Supply: 1,000,000,000 PRAI

• Circulating Supply: 289,880,000 PRAI

• Holders: 29,030

PRAI Token Utilities

• Access to confidential AI computation

• FHE-based inference fees

• Network gas payments

• Node incentives

• Staking and network security

• Governance voting

• Premium PoH verification in FheID

• AI agent activation and customization

• AI model publishing and monetization

PRAI plays an active role for both developers and users.

TGE Overview

• Circulating supply at TGE: 20.6%

Key allocations include:

• Marketing & Community Airdrop: 120,916,750 PRAI

• Binance IDO: 20,000,000 PRAI

• Liquidity: 40,000,000 PRAI

• Reserve: 25,118,750 PRAI

A total of 10% of the supply is reserved for ecosystem incentives.

PRAI Token Allocation (%)

• Mining 1: 30.0%

• Investors: 13.45%

• Marketing & Community: 12.97%

• Reserve: 10.05%

• Early Contributors: 9.04%

• Team: 8.0%

• Mining 2: 5.0%

• Liquidity: 4.0%

• Future Airdrop: 3.0%

• Binance IDO Wallet: 2.0%

• Marketing & Community 2: 2.0%

• Strategic: 0.5%

Airdrop Structure

Privasea measures ecosystem participation through a star-based system.

Ways to Earn Stars

• Minting a Face Vector NFT

• Completing the FheID liveness test

• Referral system

• Genesis Code / Derived Code structure

Earned stars determine eligibility and allocation in the FheID airdrop.

Solana Beta participants have their activity recorded on-chain and can continue participating via Arbitrum.

Privasea Ecosystem

• ImHuman App
  A privacy-focused Proof-of-Humanity solution that verifies users via encrypted biometric data. Often seen as a privacy-first alternative to Worldcoin.
• HESea Library
  An open-source library allowing developers to integrate confidential computation into their applications.
• Privanetix
  A decentralized network of computation nodes powering encrypted AI workloads.

Governance Model

PRAI holders can vote on:

• Network upgrades

• AI model releases

• Ecosystem funding

• Technical direction

This prevents centralized control and reinforces decentralization.

Roadmap

• Testnet → Mainnet transition

• PRAI Token Generation Event

• FheID adoption expansion

• Enterprise API integrations

• AI model marketplace growth

• DeFi and Web3 integrations

Timelines progress in parallel with global privacy regulations.

Who Founded Privasea AI?

Privasea AI was founded by David Jiao (Yin Jiao). His background is rooted in AI and autonomous systems. He previously led self-driving vehicle projects and secured approximately $20 million in funding for his first venture.

His first major Web3 role came in 2021 as CEO of NuLink, a privacy computing project focused on proxy re-encryption (PRE). In 2022, he left NuLink to pursue a vision combining AI and blockchain more directly.

Jiao assembled a team of university professors and PhDs, focusing on confidential computing, FHE, and MPC. After extensive evaluation, the team chose FHE as the core architecture due to its scalability and long-term potential.

Under his leadership, Privasea has evolved into a confidential AI network integrating FHE-based AI computation, decentralized compute infrastructure, and Proof-of-Human verification. The network is currently active across Solana, Arbitrum, and BNB Chain.

Investors and Strategic Partners

Privasea has raised over $15 million from leading institutions, including:

• Binance Labs and OKX Ventures

• Laser Digital (Nomura Group)

• Gate Labs, MH Ventures, GSR, SwissBorg

• Zama, a leading FHE research organization

Overall Assessment

Privasea AI occupies a focused yet ambitious position at the intersection of AI and privacy. Rather than chasing hype, it concentrates on infrastructure.

It answers a fundamental question of the data era:
“How do we generate value without sharing data?”

PRAI serves as the economic backbone of that answer.

Official Links

• Website
• Twitter
• Telegram

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