What Is Privasea-AI?

1. What Is Privasea-AI?

Privasea-AI is a privacy-focused decentralized AI computing platform designed to bring secure and confidential AI inference to Web3. Built on blockchain technology and powered by zero-knowledge machine learning (zkML), Privasea enables users to run AI models on sensitive data without compromising privacy. It leverages decentralized compute resources and advanced cryptographic techniques to offer a trustless, scalable AI solution for dApps, enterprises, and developers.

2. Why Privasea-AI Was Created

Traditional AI systems often require centralized infrastructure, which means sensitive user data must be transferred to third parties—creating serious risks around data leakage, surveillance, and regulatory non-compliance. Additionally, centralized AI platforms are expensive, lack transparency, and do not offer data sovereignty. Privasea-AI was created to solve this by decentralizing AI computation while preserving privacy through zkML. It ensures that users can benefit from powerful AI models without revealing their input data or compromising on security. This opens up privacy-preserving AI for sectors like healthcare, finance, and personalized services on-chain.

3. How Privasea-AI Works

1. Model Deployment: Developers deploy AI models into the Privasea network, leveraging a zkML framework that supports secure computation.
2. Data Submission: Users can input private or sensitive data directly into the system without needing to expose it to any third party.
3. Zero-Knowledge Inference: The AI computation is performed off-chain on decentralized nodes using zkML, allowing the result to be verified without revealing any underlying data.
4. Proof Generation: A cryptographic proof of correct computation is generated, validating that the AI model produced the right output without data exposure.
5. Blockchain Verification: The proof and result are submitted to the blockchain, where smart contracts verify the output in a trustless, decentralized manner.
6. Output Delivered: Verified results are returned to the user or dApp, maintaining end-to-end privacy throughout the process.

4. Key Features of Privasea-AI

• zkML (Zero-Knowledge Machine Learning) for confidential AI computation
• Decentralized compute nodes for secure and scalable infrastructure
• Privacy by design with no data exposure or third-party access
• On-chain verifiability through cryptographic proofs and smart contracts
• Interoperability with EVM chains and other Web3 platforms
• AI model marketplace for monetization and secure model access

5. Who Can Use Privasea-AI?

• Developers integrating privacy-preserving AI into decentralized applications
• Enterprises in regulated industries like healthcare and finance
• Web3 protocols adding AI functionality without centralization risks
• Researchers deploying and testing AI models securely on-chain
• Data owners looking to use or monetize data without exposure

6. What Is the $PRAI Token?

$PRAI is the native utility token of the Privasea ecosystem. It powers network operations and incentivizes participation across users, model providers, and node operators.

• Computation Fees: Users pay in $PRAI to run AI inference on the network.
• Node Incentives: Compute providers earn $PRAI for contributing processing power.
• Governance: Token holders can vote on protocol upgrades and ecosystem decisions.
• Staking: Nodes may stake $PRAI to ensure integrity and discourage malicious activity.
• Access & Monetization: Developers earn $PRAI by offering their models to the network.