What Is Privasea AI (PRAI)?

Privasea AI focuses on one of the most fragile issues of the artificial intelligence era: data privacy. The project combines Fully Homomorphic Encryption (FHE) with blockchain-based incentive mechanisms to enable AI computations without ever exposing raw data.

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.

Healthcare Data Sharing
Patient data is encrypted. Doctors can analyze it without seeing the raw records. Control always remains with the data owner.
Interbank Data Matching (PSI)
Two banks can identify shared clients without revealing their datasets. Information leakage is eliminated.
Secure Biometric Verification
Biometric data is never stored or copied. Only verification results are generated.
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

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