What is Privasea AI (PRAI)?

Deep Dive

1. Purpose & Value Proposition

Privasea AI addresses the tension between AI’s data hunger and privacy regulations like GDPR. Its FHE technology allows industries (healthcare, finance) to process sensitive data—medical records, financial transactions—without decrypting it, reducing breach risks.

The ImHuman app adds Proof-of-Human layers (face, voice, fingerprint) to combat bots and sybil attacks, critical for DeFi and decentralized identity systems.

2. Technology & Architecture

The network operates via four components:
- HESea Library: Open-source FHE implementations (TFHE, CKKS) optimized for speed, enabling encrypted arithmetic/logical operations.
- Privanetix: Decentralized node network executing FHE-based AI tasks, incentivized via PRAI tokens.
- Smart Contract Kit: Manages node coordination and rewards on-chain.
- ImHuman App: Integrates ZK proofs + FHE for reusable, privacy-first identity checks.

This architecture targets enterprise adoption by abstracting cryptographic complexity—users interact via APIs, not code.

3. Tokenomics & Governance

PRAI’s 1B supply fuels:
- Gas fees for AI computations and node rewards.
- Staking to secure the network and earn yields.
- Governance votes on AI model releases, network upgrades.
- Premium features like advanced biometric checks in ImHuman.

Developers monetize AI models on DeepSea’s marketplace, while enterprises pay PRAI for encrypted APIs (e.g., fraud detection).

Conclusion

Privasea AI merges encrypted AI processing with human identity validation, positioning PRAI as both a utility token and governance tool. Its success hinges on adoption in regulated sectors—can FHE’s computational overhead be minimized enough to compete with traditional AI pipelines?