Description
Fair Math, available through its platform https://fairmath.xyz/, combines the realms of decentralized finance (DeFi), traditional finance (TradFi), and blockchain technology to innovate risk assessment and understanding in the financial sector. It introduces Fair Math NFTs, unique digital assets that encode mathematical theorems, proofs, and concepts crucial for financial risk modeling. These NFTs aim to provide a standardized, transparent basis for risk analysis, facilitating the integration of DeFi's dynamism with TradFi's stability. Beyond tokenizing mathematical knowledge, Fair Math is underpinned by a commitment to privacy and the development of privacy-preserving technologies, particularly through its work on Fully Homomorphic Encryption (FHE). As a research entity with a community-driven, open-source ethos, Fair Math is building an open-source library of FHE components to ease the development of privacy-focused applications. With a team skilled in cryptographic and decentralization technologies, including the development of Zero-Knowledge Proofs (ZKP) toolsets, Fair Math is dedicated to ensuring the Web3 future rests on verifiable and privacy-ensuring foundations. Throug...
Fair Math, available through its platform https://fairmath.xyz/, combines the realms of decentralized finance (DeFi), traditional finance (TradFi), and blockchain technology to innovate risk assessment and understanding in the financial sector. It introduces Fair Math NFTs, unique digital assets that encode mathematical theorems, proofs, and concepts crucial for financial risk modeling. These NFTs aim to provide a standardized, transparent basis for risk analysis, facilitating the integration of DeFi's dynamism with TradFi's stability. Beyond tokenizing mathematical knowledge, Fair Math is underpinned by a commitment to privacy and the development of privacy-preserving technologies, particularly through its work on Fully Homomorphic Encryption (FHE). As a research entity with a community-driven, open-source ethos, Fair Math is building an open-source library of FHE components to ease the development of privacy-focused applications. With a team skilled in cryptographic and decentralization technologies, including the development of Zero-Knowledge Proofs (ZKP) toolsets, Fair Math is dedicated to ensuring the Web3 future rests on verifiable and privacy-ensuring foundations. Throug...