Product Fhenix
Fhenix builds a CoProcessor that brings Fully Homomorphic Encryption (FHE) to EVM chains, enabling developers to compute directly on encrypted data without ever decrypting it. This allows dApps to offer on-chain privacy by default. At its core, Fhenix introduces CoFHE, a decentralized coprocessor that makes encrypted computation fast, scalable, and easy for Solidity developers to adopt.
Fhenix - FHE Based CoProcessor for EVM chains (Fully Homomorphic Encryption as a Service)
What it is
Fhenix builds a CoProcessor that brings Fully Homomorphic Encryption (FHE) to EVM chains, enabling developers to compute directly on encrypted data without ever decrypting it. This allows dApps to offer on-chain privacy by default. At its core, Fhenix introduces CoFHE, a decentralized coprocessor that makes encrypted computation fast, scalable, and easy for Solidity developers to adopt.
Fits with patterns (names only)
- Private Stablecoin Shielded Payments - FHE enables encrypted balances and amounts, supporting fully confidential stablecoin transfers.
- Private Intent-Based Vaults - FHE-powered execution allows vault strategies to run privately while preserving on-chain auditability of assets.
- Shielded ERC-20 Transfers - Native FHE support provides encrypted ERC-20 transfer flows for end-to-end confidentiality.
- Confidential ERC3643 - FHE makes it possible to extend ERC3643 into a confidential standard with private, enforceable compliance logic.
- Private L2s - Fhenix’s CoFHE serves as an FHE coprocessor enabling privacy-preserving rollups and encrypted execution environments.
Not a substitute for
- ZK-based L2 privacy (e.g., Aztec, Scroll)
- MPC or TEEs for off-chain privacy computation
Architecture
CoFHE, Fhenix’s encrypted-computation coprocessor, enables smart contracts to perform arithmetic directly on encrypted values, bringing confidential computation seamlessly into standard EVM workflows.
Privacy domains (if applicable)
- FHE encryption at the contract and variable level.
- Supports hybrid models (FHE + ZK for verification).
Enterprise demand and use cases
- Financial institutions: private stablecoin transfers, on-chain strategies management and RWA tokenization.
- Treasury managers: confidential DeFi strategies, conditional orders and portfolio management.
- Private or dual-mode stablecoins, on-chain private intents, confidential lending markets and privacy-preserving yield strategies.
Technical details
- EVM-compatible FHE runtime (
FHE.sol) - SDKs for Solidity and TypeScript
- Ongoing collaborations with Zama
Strengths
- Native EVM integration
- Strong security guarantess
- Easy integration for dApps
Risks and open questions
- High compute cost and latency
- Cross-network interoperability for FHE systems is still developing