What does Privasea AI do?

Privasea AI provides privacy-preserving AI computation using Fully Homomorphic Encryption (FHE) on blockchain, enabling secure data processing for applications like Proof-of-Human identity verification via biometrics and patient-controlled health records.

Who is Privasea AI best for?

Privasea AI is best for developers, users needing privacy-focused AI tools, and participants in decentralized networks for identity verification or secure data collaboration.

Do I need to install anything to use Privasea AI?

Yes, you need to install the FheID app for human liveness verification or run nodes to participate in the network.

Is Privasea AI free to use?

No, Privasea AI requires purchasing PRAI tokens for use, though node participants get free personal use benefits.

Does Privasea AI offer an API or integrations?

Yes, Privasea AI offers an Application API for submitting data, requesting model training, and integrating with external applications.

How do I contact Privasea AI support?

Contact Privasea AI support through their website at privasea.ai or community channels listed there.

Privasea AI: Reviews, Pricing, Alternatives & Features (2026)

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Available Via:iOSAndroidMobileDAppTelegram Mini AppAPI

Privasea AI’s FheID is a mobile Proof of Human (PoH) app for individuals who need to verify real-person liveness for Web3 and Web2 services, airdrops, and rewards without sharing personal identity details.

Key capabilities include:

Real-time liveness validation using a phone’s camera to attest human likeness and reduce bot and AI-impersonation abuse.
On-device biometric encryption with Fully Homomorphic Encryption (FHE) that converts facial features into encrypted vectors so original images are not stored or transmitted as readable data.
Unique NFT creation that acts as a personalized proof of human status for reuse across compatible apps and services.
Genesis Stars referrals that reward users for inviting new users (as described in the Genesis campaign materials).

Pricing: Contact for pricing.

What makes it notable: It focuses on “human likeness, not identity” by keeping biometric processing privacy-preserving through FHE, aiming to enable verification and matching without revealing name, email, or raw facial images, even to the provider. Related functionality is also available through an ImHuman DApp/app.