What is Privasea AI (PRAI)?

TLDR Privasea AI (PRAI) is a blockchain-powered network combining confidential AI computation with Proof-of-Human verification, using advanced cryptography to secure sensitive data.

1. Privacy-first AI – Processes encrypted data via Fully Homomorphic Encryption (FHE), enabling secure AI tasks like medical analysis without exposing raw data.
2. Human verification – Powers Proof-of-Humanity (PoH) checks via its ImHuman app, using biometrics to combat bots and Sybil attacks in Web3.
3. Dual utility token – PRAI acts as gas for AI services, staking, governance, and access to premium features across its ecosystem.

Deep Dive

1. Core Purpose: Confidential AI + Human Identity

Privasea solves two critical Web3 challenges:
- Secure AI processing: Its DeepSea AI Network uses FHE—a cryptographic method allowing computations on encrypted data—to protect sensitive inputs (e.g., health records) during AI analysis (Privasea AI Network).
- Human verification: The ImHuman app employs FHE-secured face/voice scans to create tamper-proof digital identities, addressing bot-driven fraud in DeFi and social platforms.

2. Technical Architecture

Four components enable privacy-preserving AI:
- HESea Library: Open-source FHE tools supporting encrypted arithmetic/logical operations.
- Privanetix: Decentralized node network processing FHE-encrypted tasks.
- Smart Contract Kit: Manages node incentives and governance.
- ImHuman App: Mobile interface for PoH verification and staking PRAI tokens.

3. Tokenomics & Governance

PRAI’s 1 billion supply fuels:
- AI services: Pay for encrypted computations or API access.
- Staking: Secure the network and earn rewards.
- Governance: Vote on upgrades, like integrating new FHE schemes.
At launch, 20.6% of tokens circulated via IDO, liquidity pools, and airdrops (Tokenomics).

Conclusion

Privasea AI merges encrypted AI processing with human identity validation, positioning PRAI as both a utility token for confidential computations and a governance tool for its FHE-powered ecosystem. As partnerships like telecom eSIM integrations emerge (Privasea_ai), can it become the default privacy layer for AI-driven Web3 applications?