Intro

Privacy engine for AI and Blockchain

Fair Math is building cryptographic infrastructure for privacy‑preserving AI and on‑chain finance.

Core products on the Fair Math stack:

  • FHE Computer — a decentralized computing platform designed to perform operations directly on encrypted data using Fully Homomorphic Encryption (FHE). It serves as the foundation for running privacy‑preserving applications and scaling secure computation in both Web2 and Web3 contexts.

  • Fair Math AI — privacy‑native rails for running AI models and agents directly on encrypted data, built on a FHE optimized for scalable AI workloads.

  • Fair Math Payments — is a modular privacy framework designed to integrate into existing on‑chain financial systems, enabling selective encryption of transactions and balances without requiring changes to the underlying infrastructure.

We are committed to an open‑source and community‑driven approach, fostering collaboration between researchers and developers.

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