Back to Organizations
Fair Math
Fair Math builds fully homomorphic encryption (FHE) infrastructure for privacy-preserving AI, blockchain applications, and on-chain finance. Its products enable computation on encrypted data, confidential smart contracts, and private stablecoin payments.
Distributed
FHE Computer
Project Links
Description
FHE Computer is Fair Math’s FHE infrastructure product for confidential computation. Its four-layer architecture spans application components, orchestration, execution actors, and a heterogeneous network of FHE nodes that provides distributed computation infrastructure for applications and L1/L2 chains.Category: Compute Network
Darkpool
Project Links
Description
Darkpool is Fair Math's private trading infrastructure for institutional DeFi. It uses fully homomorphic encryption for confidential order matching and settlement, with zero-knowledge proofs, settlement guarantees, and auditability. It supports private execution, institutional rebalancing, market making, and algorithmic trading across existing DeFi protocols and exchanges.Category: Trading Terminal
POLYCIRCUIT
Project Links
Description
POLYCIRCUIT is Fair Math’s FHE Components Library, providing reusable high-level components that abstract underlying cryptographic complexity for FHE application development. Its performance-focused, community-reviewed components include encrypted string search, array sorting, and parity functions, and are available under the Apache 2.0 license.Category: Developer Tooling
Fair Math Payments
Project Links
Description
Fair Math Payments provides confidential payment rails for existing ERC-20 stablecoin workflows. It supports encrypted balances and transfers with audit-ready disclosure controls, enabling private payroll, merchant acquiring, vendor payments, invoices, settlements, and DAO treasury transfers. The product integrates with existing wallets, tokens, and payment flows, including optional confidentiality for Safe multisig transfers.Category: Payments Infrastructure
FHELang
Project Links
Description
FHELang is a coming-soon programming language for writing fully homomorphic encryption computations. It supports plaintext and encrypted numeric and boolean types, multi-dimensional arrays, familiar constructs such as functions, loops, conditionals, and arrays, and POLYCIRCUIT components including ReLU and sign functions.Category: Developer Tooling
FHERMA
Project Links
Description
FHERMA is a fully homomorphic encryption challenges and benchmarking platform. It publishes structured challenges, evaluates submitted solutions for correctness, security, and performance, and integrates leading Apache 2.0-licensed solutions into Polycircuit. Its FHERMA Cookbook collects reusable high-level FHE components developed through formal challenges.Category: Developer Tooling