PrivateAI

PrivateAI offers a decentralized platform for confidential machine learning and secure data sharing using Fully Homomorphic Encryption. It enables organizations to build and monetize proprietary data through knowledge graphs and a marketplace, ensuring privacy during AI model training.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations face challenges in securely sharing sensitive data for AI model training and analysis, often compromising privacy or limiting collaboration. Existing solutions struggle to balance data utility with robust privacy guarantees, hindering the development of advanced AI applications across various sectors.

Solution

PrivateAI provides a decentralized platform that leverages Fully Homomorphic Encryption (FHE) to enable confidential machine learning and secure data sharing. The platform facilitates the creation and monetization of proprietary data through knowledge graphs and a dedicated data marketplace. Users can discover, access, and contribute data while maintaining strict privacy controls. The $PGPT token underpins the ecosystem, incentivizing data contribution and enabling transactions for data access and AI services. This approach fosters collective AI advancement by ensuring data quality and privacy throughout the model training lifecycle.

Target Audience

The primary target audience includes data analytics companies, research laboratories, and Generative AI companies across sectors such as healthcare, medicine, and astronomy, who require secure data collaboration and advanced AI capabilities.

Features

Fully Homomorphic Encryption (FHE) for privacy-preserving AI model training and data analysis.
Decentralized knowledge graph construction for visualizing and discovering complex data relationships.
Data marketplace enabling users to securely purchase proprietary datasets and monetize their own data contributions.
Token-gated access and incentivized crowdsourcing for high-quality data acquisition.
$PGPT token utility for data transactions, AI service subscriptions, node staking, and bandwidth fees.
Confidential Machine Learning (ConfML) capabilities integrated with Tendermint-based consensus for secure data handling.
Privacy-by-design methodology with minimal data retention and strict access controls.
Tiered subscription plans (Free, Premium, Enterprise) offering varying levels of API access, encryption speed, and support.