Privasea is a data infrastructure platform powered by DePIN and AI that enables multiple parties to collaborate without revealing sensitive information. The platform leverages Fully Homomorphic Encryption (FHE) to perform computations on encrypted data and uses machine learning to enhance performance over time. Privasea's Testnet is live and can be developed for models such as prediction and an e-mail classifier. OKX Ventures highlighted potential near-term use cases including secure file sharing, privacy-conscious facial recognition, and a streamlined KYC process expected later this year. The company aims to bridge user data with distributed computing power and simplify interactions to stimulate computational power across diverse domains. The announcement did not disclose operating metrics or financial details. Privasea is a DePIN+AI project that integrates FHEML (fully homomorphic encryption machine learning) into a distributed compute crowdsourcing network. It combines that protocol work with a self-developed DePIN miner to create a fungible FHE compute layer. The company describes its goal as forming an FHE compute network that supports all Layer1 and Layer2 chains. Privasea focuses on supplying privacy-preserving distributed compute capacity via its network and hardware. The article reports the company completed a seed financing to advance its product and network build-out. No operating metrics (revenue/users) or founding year are provided in the article.

Total raised

$5M

Funding rounds

2

Latest round

Seed

Latest activity

Mar 2024