As artificial intelligence (AI) continues to evolve, the world is witnessing an explosion in data generation and usage. With this evolution, concerns about data privacy, security, and ownership have intensified. In response to these challenges, Privasea.ai emerges as a groundbreaking platform that combines the power of AI, blockchain, and privacy-preserving technologies to reshape how sensitive data is processed, analyzed, and monetized.

Privasea.ai is a decentralized privacy AI computing network designed to support computations on encrypted data using advanced cryptographic methods, particularly Fully Homomorphic Encryption (FHE). This enables AI and machine learning models to operate on encrypted data without needing to decrypt it first, a revolutionary leap in preserving user privacy and data confidentiality. The platform provides a scalable infrastructure that supports both individuals and enterprises in leveraging the benefits of AI while maintaining strict control over sensitive data.

Unlike traditional AI models that require raw data access, often leading to privacy violations, Privasea ensures that data owners never lose control of their information. Whether in healthcare, finance, government, or Web3 applications, Privasea enables organizations to perform powerful AI-driven analytics without compromising the integrity or confidentiality of the data.

Mission and Vision

At its core, Privasea is built on a bold mission: to create a future where artificial intelligence and personal data privacy are not in conflict but work in harmony. The platform envisions a world in which users can benefit from cutting-edge AI solutions without forfeiting ownership or exposure of their private data.

Key Goals of Privasea:

1. Democratize Privacy-Preserving AI

Privasea aims to make FHE technology and privacy-preserving AI accessible to the broader developer and business community. It provides developer-friendly APIs and SDKs that abstract the complexity of encryption, allowing rapid integration into new or existing applications.

2. Enable Secure Collaboration

In industries like healthcare, research, and finance, collaborative efforts across organizations are often hampered by data-sharing regulations. Privasea enables multiple parties to work together on encrypted datasets while ensuring that no party gains access to another’s raw data—allowing collaboration without compromise.

3. Promote Decentralization

By leveraging decentralized infrastructure, Privasea removes reliance on centralized authorities. This enhances security, transparency, and trust in AI workflows, while allowing for global scalability across various nodes.

4. Support Compliance and Regulation

With data protection laws like GDPR, HIPAA, and others becoming increasingly stringent, Privasea provides a future-proof solution that inherently complies with these regulations. Encrypted computation ensures no data is exposed unnecessarily at any point.

5. Power AI at the Edge

Privasea’s decentralized computation layer supports edge computing models, allowing AI to run closer to where data is generated—on mobile devices, IoT sensors, and beyond. This reduces latency, enhances privacy, and enables real-time decision-making.

Technological Foundation

Privasea’s architecture is built with a modular approach, combining cryptographic research, smart contract development, and decentralized computing. Some of its main components include:

1. HESea Library

This is the cryptographic backbone of the Privasea ecosystem. The HESea Library is an open-source repository of efficient implementations of leading FHE schemes such as BFV, BGV, TFHE, and CKKS. It’s optimized for performance and ease of use, ensuring developers can apply secure computation techniques with minimal overhead.

2. Privasea API & SDK

Sitting atop the HESea Library is a robust set of APIs and software development kits (SDKs). These tools simplify the integration of encrypted AI computation into apps, platforms, and enterprise systems. Developers can build, deploy, and manage AI models that operate on encrypted datasets without needing to understand the underlying cryptography.

3. Privanetix Network

This is a decentralized mesh of computing nodes where encrypted AI tasks are executed. Each node in the network runs privacy-preserving computations without ever accessing the raw data, ensuring complete confidentiality. Node operators are rewarded with network tokens for contributing computational power and maintaining uptime.

4. Smart Contract Governance

Privasea incorporates a suite of smart contracts that manage node incentivization, job scheduling, consensus mechanisms, and governance decisions. This allows the network to operate autonomously and transparently, with stakeholder voting determining protocol upgrades and policy changes.

5. ImHuman Verification System

To prevent sybil attacks and bot activity, Privasea introduced “ImHuman,” a Proof-of-Human (PoH) verification mechanism that confirms a user’s real identity through biometric scans. The process creates a unique non-transferable NFT that serves as a privacy-preserving proof of humanity without storing or revealing the biometric data itself.

Tokenomics and Token Utilities:

Token Utilities:

1. Access to Confidential AI Computing

Required for using AI-driven services on the DeepSea AI Network.
Supports secure FHE-based AI inference, data analysis, and decentralized computing.

2. Transaction Fees and Gas for AI Computation

Used as gas fees for executing secure AI computations within Privasea’s network.
Incentivizes node operators who contribute to AI inference and FHE-based tasks.

3. Proof-of-Humanity (PoH) Verification Services

Used within the ImHuman App for on-chain PoH verification and identity validation.
Powers multi-factor PoH services, including face, voice, and fingerprint verification.

4. AI Agent Activation and Customization

Enables users to activate and customize AI-driven agents for social mining, data analysis, and task automation.

5. Staking and Network Security

Token holders can stake tokens to support network operations and earn rewards.
Staked tokens help secure AI computations and FHE-powered processes.

Price Analysis

As of May 20, 2025, PRAI is trading at approximately $0.08006 USD, reflecting a 24-hour price change of -0.85%. The all-time high was recorded at $0.08420 USD. Key metrics include:

Total Supply: 1B
Circulating Supply: 206.03M

Project Overview

Name: PRAI (Privasea AI)
Official Website: PRAI Website
Contract Address: 0x899357e54c2c4b014ea50a9a7bf140ba6df2ec73
Whitepaper: PRAI Whitepaper
Social Media: Privasea_ai
Explorer: PRAI on BscScan
Exchanges: CoinEx (CEX), PancakeSwap V3 (DEX)

Recent Developments and Milestones

Privasea.ai has achieved several major milestones in 2024 and early 2025, accelerating its adoption and expanding its capabilities.

1. Series A Funding – $15M Raised

In early 2025, Privasea successfully closed a $15 million Series A funding round, bringing its total valuation to $180 million. This funding is being used to accelerate the development of its DeepSea AI Network, scale its node infrastructure, and expand developer tools for FHE-based applications.

2. Partnership with easeflow

Privasea partnered with easeflow, a platform that offers seamless node deployment and management. Through this partnership, users can deploy a Privasea node with a single click—streamlining the decentralization process and reducing the barrier to entry for non-technical users.

3. Launch of ImHuman App

The ImHuman App is a groundbreaking development in proof-of-identity and bot prevention. It enables users to validate their human identity through facial recognition and receive a unique on-chain NFT. Importantly, it accomplishes this without storing or transmitting the user’s biometric data—demonstrating the platform’s commitment to user privacy.

4. Token Launch and Exchange Listings

Privasea’s native token, PRAI, has recently launched and is now listed on major exchanges. The token plays a critical role in the ecosystem, functioning as:

Payment for AI computation tasks
Staking rewards for node operators
Governance rights in DAO proposals
A means to access premium AI services like the ImHuman App

Bybit even introduced leveraged trading for PRAI, reflecting increased market interest in AI-crypto hybrid projects.

Use Cases and Real-World Impact

Privasea is targeting real-world problems across multiple sectors:

Healthcare: Hospitals can train AI models on encrypted patient records across multiple institutions without violating patient privacy or HIPAA laws.
Finance: Banks can detect fraud using encrypted transaction histories without exposing customer data.
Public Sector: Governments can analyze census or demographic data securely and transparently.
Web3 & Gaming: Projects can build decentralized applications that process user data while preserving anonymity and sovereignty.

Looking Ahead

Privasea’s roadmap includes several ambitious goals for the remainder of 2025 and beyond:

Expansion of DeepSea AI models for domains like NLP, image recognition, and LLM inference.
Integration with Layer 1 blockchains like Ethereum, Solana, and Polkadot for seamless AI-computation dApp development.
Community node incentives and decentralized governance expansion through DAO mechanisms.
Cross-border compliance tools for organizations operating in multiple regulatory jurisdictions.

Conclusion

Privasea.ai is not just another AI project—it is a mission-driven platform at the forefront of privacy computing. By combining fully homomorphic encryption, decentralized architecture, and AI models, it offers a unique solution for one of the most pressing challenges in tech today: how to extract intelligence from data without exposing it.

In a world increasingly defined by concerns around surveillance, AI bias, and data breaches, Privasea represents a hopeful future. One where innovation doesn’t come at the cost of personal privacy, and where decentralized collaboration leads to smarter, safer, and more ethical technology.

*This article is for informational purposes only and does not constitute investment advice

Privasea.ai: Pioneering the Future of Privacy-Preserving AI in a Decentralized World