Materials
๐ ย Deck
๐ย Whitepaper
๐ฆ Docs
Team
Roadmap
๐ฌ IBM about FHERMA
Ecosystem
๐น๏ธ FHE Computer
๐๏ธ FHERMA Platform
๐๏ธ Polycircuit
๐๏ธ FHERMA Whitepaper
Presentations & Talks
Founders
Gurgen Arakelov
Elvira Kharisova
Socials
๐ย Website
๐ฆย Twitter
๐งโ๐ป GitHub
๐ค Blog
๐พDiscord
๐๏ธ LinkedIn
About Us
Fair Math enables AI models to work with private data securely. Our Secure AI Model Hub simplifies deploying privacy-preserving models with a Decentralized Execution Environment and seamless ONNX integration. The hub also incentivizes collaboration with token-based rewards.
What We Are Building
- Privacy-Preserving AI Models HUB
- A platform for storing, sharing, deploying and monetising FHE AI models.
- Auto-converter for ONNX models, ensuring seamless integration with existing AI workflows and transforming models into FHE- based versions.
- Incentivized collaboration through token-based rewards for model creators, component developers and data providers.
- FHE Computer: Decentralized Execution Environment for Privacy-Preserving AI Models
- A decentralized computing platform that executes computations directly on encrypted data without decryption.
- Acts as aย co-processorย for Layer 1 (L1) and Layer 2 (L2) blockchain networks, enabling seamless integration into existing decentralized ecosystems.
- Designed to support trustless environments where data privacy is essential, such as healthcare, finance, and AI.
- Vector Database: Privacy Preserving RAG
- Built on top of the FHE Computer, this privacy-preserving database enables advanced AI use cases, such as private search and recommendation systems.
- Unlocks new possibilities for confidential data analytics in sectors like personalized AI, secure finance, and healthcare.
- FHERMA Platform
- A dual-purpose platform forย FHE challengesย andย benchmarking.
- Incentivizes contributions from researchers and developers through a token-based model, fostering innovation and community growth.
- Provides benchmarks for FHE Components, accelerating their adoption in real-world applications.
Goals and Vision
Our ultimate goal is to create a scalable, open-source ecosystem that democratizes access to privacy-preserving computing. Through collaboration and innovation, Fair Math aims to become the foundational layer for the next generation of secure and decentralized applications.
Company details
**Entity type**: Delaware C Corporation
Incorporation date: 16 Oct 2023
Tax ID: 35-2826660
Business address: 1111b South Governors Avenue #6846 Dover, DE 19904 US
Representative name: Gurgen Arakelov, Elvira Kharisova
Contacts
โ๏ธ [email protected]
โ๏ธ [email protected]
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