Privasea (PRAI): Navigating the sea of privacy in AI
The arrival of AI has unleashed unprecedented computational power and problem-solving capabilities across virtually every industry. However, as AI solutions multiply, so do concerns about how our sensitive data is being handled, processed and protected.
Privasea (PRAI) emerges as a solution to these fundamental privacy challenges through its decentralized AI network, which enables computations while maintaining complete data confidentiality. This article explores Privasea's innovative approach to confidential computing, how it works — and why it matters in our increasingly AI-driven world.
Key Takeaways:
Privasea is a decentralized AI network that uses advanced fully homomorphic encryption (FHE) technology to enable secure computations on encrypted data without exposing the original information, ensuring data privacy throughout the entire AI process.
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What is Privasea?
Privasea is a decentralized AI network that uses advanced fully homomorphic encryption (FHE) technology to enable secure computations on encrypted data without exposing the original information, ensuring data privacy throughout the entire AI process.
History of Privasea
Privasea was developed by a team of blockchain and security experts who recognized that AI's exponential growth created unprecedented privacy challenges for organizations handling sensitive data. The team developed innovative FHE technology to enable AI computation on encrypted data without exposing the underlying information.
Privasea quickly attracted significant investment from major players in the blockchain and cryptocurrency spaces. The company's seed funding round secured $5 million from respected investors, including Binance Labs, Gate Labs, MH Ventures, K300 Ventures and QB Ventures.
Following this initial success, Privasea raised an additional $15 million in its Series A round, bringing the company's 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.
What does Privasea aim to achieve?
Privasea aims to eliminate the fundamental trade-off between AI functionality and data privacy that has prevented widespread adoption across sensitive industries. Now, organizations can leverage powerful AI capabilities while keeping confidential data fully encrypted throughout the computation process.
The platform also addresses regulatory compliance barriers that prevent organizations from adopting AI solutions due to data protection requirements such as GDPR. By solving these privacy challenges, Privasea ultimately aims to build trust between users and AI systems, encouraging broader participation in data-driven innovation.
How does Privasea work?
Privasea uses a four-layer architecture that transforms FHE from a theoretical concept into a practical application: the Application Layer, Optimisation Layer, Arithmetic Layer and Primitive Layer work together to enable secure AI computation on encrypted data.
The HESea Library forms the foundation of Privasea's technology stack. This open-source library provides developers with efficient implementations of popular FHE schemes and cryptographic optimizations needed for secure computation on encrypted information.
The Privasea API builds on this foundation to offer developers comprehensive tools for creating privacy-preserving AI applications. It serves as the primary gateway to the network, allowing seamless integration of advanced privacy features into existing applications.
Privanetix operates as the distributed computation network in which encrypted data processing occurs. This interconnected system of nodes performs FHE calculations while maintaining data confidentiality, with the Privasea Smart Contract Kit managing network operations and reward distribution via blockchain technology.
The process begins when users encrypt their data using FHE protocols before uploading it to the network. Once uploaded, the distributed Privanetix nodes perform AI computations while data remains encrypted throughout, ensuring privacy is maintained from start to finish.
Features of Privasea
Privasea provides the following core features that work together to enable AI computation and preserve data privacy.
ImHuman
The ImHuman™ app is the world's first mobile application to use FHE to verify human identity without exposing biometric data. Users can mint a Proof of Human NFT through facial scanning, with all biometric information remaining fully encrypted throughout the verification process.
DeepSea
DeepSea serves as Privasea's decentralized mainnet compute layer in which all FHE-secured AI tasks are processed. This operational foundation incorporates Privanetix, WorkHeart and Acceleration Nodes to deliver optimal speed, security and performance for encrypted computations. It integrates AI agent models, facial recognition and private machine learning capabilities, enabling organizations to leverage AI while maintaining complete data privacy across industries handling sensitive information.
AI Agent
Privasea has developed the world's first privacy-preserving AI agent running on the DeepSea Network. This agent allows developers and organizations to easily deploy FHE AI tasks on user data without exposing the underlying information. The built-in models for biometric, medical and financial use cases work alongside the user-friendly API for direct web3 application integration.
Privasea nodes
Privasea uses two node types to power its computational infrastructure.
Privanetix nodes handle FHE compute tasks on the DeepSea network, requiring high-performance machines for intensive encrypted computations while allowing operators to stake PRAI tokens for rewards.
WorkHeart nodes are USB devices, priced at approximately 0.2 ETH each, that offer plug-and-play accessibility for earning PRAI rewards. Combined with StarFuel NFTs for reward multipliers, these nodes create a distributed network that powers Privasea's privacy-preserving AI capabilities.
Privasea road map
Privasea has achieved key development milestones while securing substantial funding to support its privacy-preserving AI vision. In 2023, the project launched its testnet V1 and completed a $5 million seed funding round from prominent investors.
The team accelerated development throughout 2024 with multiple testnet iterations, releasing testnets V2 and V3 alongside the WorkHeart Node hardware. The ImHuman app reached 240,000 users as Privasea secured an additional $15 million in Series A funding.
Looking ahead to 2025, Privasea plans to launch the DeepSea mainnet and conduct its PRAI token sale while expanding AI DePIN use cases across its ecosystem. The project’s road map extends into 2026 with planned collaborations with Web 2.0 and AI enterprises alongside global expansion of privacy computing solutions.
PRAI tokenomics
PRAI, the native utility token of the Privasea ecosystem, has a total supply of 1 billion. Its distribution prioritizes network sustainability, with 35% allocated to mining and staking rewards for participants who provide FHE and privacy services. In addition, its team receives 13% with performance-based vesting, while backers and strategic partners hold 22.5% of the total supply. Marketing and community development account for 15%, with 10.5% reserved for unforeseen needs and 4% dedicated to market liquidity.
PRAI is used to enable access to confidential AI computing services and cover transaction fees for secure computations across Privasea’s network. The token powers identity verification within the ImHuman app and allows users to activate AI agents for data analysis and automation.
PRAI holders can stake their PRAI to support network operations while earning rewards and participating in governance decisions. This utility-driven model ties PRAI's value directly to ecosystem usage and ensures aligned incentives between users, developers and network operators.
Where to buy PRAI
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Is PRAI a good investment?
While Privasea demonstrates innovative technology and strong backing in the privacy-preserving AI space, investors must carefully weigh its growth outlook against potential risk factors.
Growth potential
First-mover advantage in FHE-based AI computing opens new use cases beyond traditional privacy solutions
Substantial funding of $20 million from respected investors, including Binance Labs, GSR, Amber and OKX Ventures
Growing demand for privacy-preserving AI solutions, as organizations face increasing data protection requirements
Clear utility-driven token model that ties PRAI's value directly to network usage and ecosystem adoption
Risk factors
Privasea’s early-stage project faces execution challenges in delivering on its ambitious FHE technology road map
Potential regulatory uncertainties exist, as privacy-preserving technologies face evolving compliance requirements
Privasea (PRAI) shows promising potential, with substantial financial backing and innovative encoding technology. Increasing demand for decentralized storage solutions provides a favorable market environment. However, potential investors should conduct thorough research and consider their risk tolerance, particularly given Privasea’s early position in its development journey.
Closing thoughts
Privasea represents a breakthrough in addressing AI's privacy challenges through innovative FHE technology. With substantial backing from leading investors and a comprehensive ecosystem including ImHuman, DeepSea and specialized nodes, the project is well-positioned to enable widespread AI adoption across privacy-sensitive industries.
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