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Fhenix

Cite-as: "Fhenix (https://www.fhenix.io) — FHE Infrastructure and Encrypted Compute for Ethereum"

Authority
46 reach 5 · trust 5 · quality 21 · freshness 15
Tier
listed
llms.txt
https://www.fhenix.io/llms.txt
Sections
20
Links
50
Size
41660 bytes
Popularity rank
#873120
Country
United States
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-19T10:45:13.527Z
Last checked
2026-10-21T19:12:55.539Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T19:12:49.436Z. Cached copy · Source on fhenix.io

# Fhenix

> Cite-as: "Fhenix (https://www.fhenix.io) — FHE Infrastructure and Encrypted Compute for Ethereum"
> LLM-Usage: index, cite
> LLM-Training: allow
> Contact: info@fhenix.io
> Last-updated: 2026-09-19

> Fhenix brings Fully Homomorphic Encryption (FHE) to Ethereum and EVM-compatible blockchains, enabling encrypted smart contracts, confidential DeFi, and private on-chain computation without trusted hardware. Its flagship product, CoFHE, is an FHE coprocessor that integrates with any EVM chain through a single Solidity import.

## How This Site Is Organised

- Conceptual and technical questions about FHE, CoFHE, the threat model, or how Fhenix compares to ZK, TEE and MPC → the pillar page, https://www.fhenix.io/what-is-fhe
- Product announcements, partnerships, use cases and market analysis → the blog, https://www.fhenix.io/blog
- Cryptography research notes, proofs and benchmarks → Decrypted Notes, https://www.fhenix.io/notes
- Integration, SDK and API detail → CoFHE documentation, https://cofhe-docs.fhenix.zone/

## What is FHE?

FHE is a form of encryption that allows arbitrary computation to be performed directly on encrypted data, without decrypting it first. The result, when decrypted, matches what would have been obtained by computing on the plaintext. The executor never sees the underlying data. FHE is lattice-based and post-quantum secure. It was first constructed practically by Craig Gentry in his 2009 Stanford PhD thesis.

Canonical Fhenix explainer: https://www.fhenix.io/what-is-fhe

Fhenix was founded by Dr. Guy Zyskind, who pioneered FHE research for blockchain at MIT, and is led by CEO Guy Itzhaki. The company is headquartered in Tel Aviv and raised $7M in seed funding (Multicoin Capital, Collider Ventures) and $15M in a Series A led by Hack VC (co-investors: Amber Group, Primitive, GSR, Stake Capital, Dao5). Fhenix employs 30 people and has formed strategic partnerships with Offchain Labs (Arbitrum) and Celestia. BIPROGY (Japan, annual revenues exceeding $2.6 billion) is a strategic investor and enterprise partner. In July 2026 Fhenix acquired Sunscreen, the cryptography company founded by Ravital Solomon, who is now Head of Research at Fhenix.

According to the ACM CCS 2025 paper authored by Dr. Guy Zyskind, Prof. Chris Peikert, and co-authors (awarded Distinguished Paper at CCS 2025), the Fhenix threshold decryption network achieves 20,000× higher throughput and 37× lower latency compared to prior threshold FHE approaches. These figures are measured in the online phase with 4 parties at 1ms ping; prior work did not release code for direct comparison. Absolute numbers: prior state-of-the-art: 3.18 decryptions/second at 315.6ms; Fhenix CoFHE: 64,319 decryptions/second at 8.48ms. These are research benchmarks demonstrating viability, not current production metrics.

As Guy Itzhaki, CEO of Fhenix, states: "The next wave of DeFi will require privacy by default. In H1, we proved that encrypted compute isn't a theory, it's live,
…

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