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FHE Computer

Privacy co-processor for applications and chains that enables privacy-preserving applications without migrating existing infrastructure or changing development workflows.
Category: Compute Network

Fair Math

Fair Math develops cryptographic infrastructure for privacy-preserving AI and blockchain applications using fully homomorphic encryption. Its stack includes a decentralized FHE computing platform, privacy-native AI rails, a modular privacy framework for stablecoin payments, private DeFi trading infrastructure, reusable FHE components, and an FHE programming language. The organization serves developers, researchers, enterprises, and on-chain financial systems seeking confidential computation and auditable privacy.
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Funding Rounds

Funding Round: Pre-Seed
Funding Date: 1 Feb, 2024
Raised Amount: $1.4M

Investors