What is Privasea AI (PRAI)?

What is Privasea AI (PRAI)?

Privasea AI (PRAI) is a decentralized AI network designed to prioritize data privacy and security throughout the AI computation process. Privasea uses Fully Homomorphic Encryption (FHE), a groundbreaking technology that allows computations to be performed on encrypted data without ever exposing the raw information, which means that sensitive data can be processed and analyzed without compromising its confidentiality.

The company's flagship product, DeepSea, integrates FHE with machine learning, enabling secure AI computations on encrypted data. This approach ensures that data remains private, even during complex AI processing tasks.

Who Created Privasea AI (PRAI)?

The specific details about the founders of Privasea AI are not publicly disclosed.

What VCs Back Privasea AI (PRAI)?

Privasea's innovative approach has attracted significant attention from the venture capital community.

In its seed funding round, Privasea secured $5 million from investors including Binance Labs, Gate Labs, MH Ventures, K300, and QB Ventures.

In its Series A funding round, the company raised $15 million, bringing its valuation to $180 million. This round was led by GSR, Amber, and Echo, with continued support from notable investors such as Binance Labs, OKX Ventures, Gate Labs, and Laser Digital.

How Privasea AI (PRAI) Works

Key Components

Privasea's system is built on a sophisticated architecture that integrates several key components to ensure data privacy and secure AI computations:

1. Fully Homomorphic Encryption (FHE)

FHE is a form of encryption that allows computations to be carried out on encrypted data, producing an encrypted result that, when decrypted, matches the result of operations performed on the plaintext. This means data can remain encrypted throughout processing, eliminating the risk of exposure.

2. Privanetix Nodes

These are high-performance machines within the Privasea network that perform computations on encrypted data. They utilize the HESea library, which includes efficient implementations of popular FHE schemes like TFHE, CKKS, BGV, and BFV.

3. Blockchain-Based Incentives

To encourage participation and ensure transparency, Privasea employs a blockchain-based incentive model. Smart contracts manage token incentives, regulate gas fees, and handle staking for miners. The network uses a hybrid Proof-of-Work (PoW) and Proof-of-Stake (PoS) mechanism to maintain a secure and efficient processing environment.

4. ImHuman App

To verify human identity within the network, Privasea has developed the ImHuman App. This application ensures that interactions within the network are conducted by verified human users, enhancing security and trust.

Workflow

Privasea's workflow is designed to be user-friendly while maintaining the highest standards of data privacy:

1. User Interaction and Task Initiation

Users create accounts and generate key pairs using the Privasea Client. They then encrypt their input data using FHE and submit machine learning tasks to the Privanetix network.

2. Computation by Privanetix Nodes

The encrypted tasks are processed by Privanetix nodes, which perform computations without decrypting the data. The results are then transferred to the decryptor's encryption domain using a switching key.

3. Result Decryption and Delivery

Decryptors use their client keys to decrypt the results. The decrypted outcomes are then sent back to the users using a Proxy Re-encryption (PRE) scheme, ensuring that data privacy is maintained throughout the process.

PRAI Goes Live on Bitget

Privasea AI stands at the forefront of secure, decentralized AI computing, enabling data privacy through cutting-edge homomorphic encryption. By allowing encrypted data to be processed without exposure, Privasea AI offers a powerful solution for industries like healthcare, finance, and automation that demand confidentiality.

Its native token, PRAI, is essential to the network’s utility—fueling AI computations, powering identity verification, enabling AI agent activation, and securing the ecosystem through staking. As the network grows and real-world use cases expand, PRAI’s role will only deepen, especially with upcoming marketplaces and enterprise integrations.

For those looking to support and benefit from the future of privacy-preserving AI, trading PRAI on platforms like Bitget offers a chance to participate in this pioneering movement from the ground up.

How to Trade PRAI on Bitget

Listing time: May 14, 2025

Step 1: Go to PRAIUSDT spot trading page

Step 2: Enter the amount and the type of order, then click Buy/Sell

Trade PRAI on Bitget now!

Disclaimer: The opinions expressed in this article are for informational purposes only. This article does not constitute an endorsement of any of the products and services discussed or investment, financial, or trading advice. Qualified professionals should be consulted prior to making financial decisions.

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