| domain | fairmath.xyz |
| summary | This website promotes a cryptographic infrastructure that supports confidential applications, particularly enterprise blockchain adoption across various industries. Key features include:
1. Encrypted data training and private inference queries, ensuring mathematical privacy guarantees with the help of Blockchain technology. 2. Advanced encryption techniques such as Fully Homomorphic Encryption (FHE) for faster evaluation (1000x compared to 3rd/4th generation), enabling evaluation of arbitrary functions on encrypted data. 3. SIMD (Single Instruction, Multiple Data) vectorized processing for simultaneous handling of thousands of values. 4. The team will be present at major blockchain and AI conferences in 2025, including: - AI Blockchain Summit, Dubai, UAE (SEP 2025) - Consensus AI Crypto Track, Austin, USA (SEP 2025) - AI Web3 Forum, San Francisco, USA (SEP 2025) - WAHC 2025, Taipei, Taiwan (OCT 2025) - Workshop on Encrypted Computing - Devcon Argentina, Buenos Aires, Argentina (NOV 2025) - AI in Finance DeFi, New York, USA (DEC 2025)
The company specializes in constructing cryptographic foundations for privacy-preserving AI and blockchain applications. Interested parties can contact the team to schedule a discussion at any of these events. |
| title | Fair Math - Programmable Confidentiality |
| description | Building cryptographic foundations for privacy-preserving AI and blockchain applications with new generation FHE technology. |
| keywords | applications, privacy, data, private, computation, generation, guarantees, team, conference, blog, foundations, future, economy, full, potential, models, process |
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| nslookup | A 185.199.108.153, A 185.199.109.153, A 185.199.110.153, A 185.199.111.153 |
| created | 2025-11-10 |
| updated | 2025-11-10 |
| summarized | 2025-11-13 |
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