The Future of Private Computing with Fully Homomorphic Encryption (FHE)

Fhenix and Monaco Research are excited to announce a research collaboration to investigate how fully homomorphic encryption (FHE) can bring meaningful confidentiality to onchain trading infrastructure. Together, these teams are exploring the design space around dark pools, encrypted request-for-quote (RFQ) systems, and the broader challenge of enabling private execution in decentralized markets, without sacrificing the trust guarantees and liquidity that make DeFi compelling.

CoFHE makes encrypted computation practical for on-chain applications — but the sharp edge, especially for new builders, has always been decryption: when you can decrypt, who can decrypt, and what it means to “reveal” a value in a public system. With the new @cofhe/sdk, we’re shipping a clearer, safer decryption model that matches how real applications behave.

DBFV - Fhenix's Decomposed BFV removes the performance ceiling blocking real-world FHE - enabling confidential DeFi, encrypted lending, and MEV-resistant order books at production scale.

Institutional traders moved $2.3 billion through private DeFi channels in Q3 2025 alone, according to recent blockchain analytics, marking the inflection point where confidential transactions transitioned from experimental to essential. The transparency that made blockchain revolutionary has revealed its limitations: every trade position, every strategy, every wallet balance sits exposed on public ledgers where competitors and MEV bots extract value.

The dual-mode concept injects privacy capabilities directly into the token contract, preserving the token’s native behavior while enabling private balances and transactions without wrapping, bridging, or breaking protocol compatibility.

CoFHE has been upgraded from a monolithic “aggregator” into an explicit, queue-driven execution pipeline with clear separation between validation, computation, publishing, and decryption. Read about CoFHE architecture and how it enables Scalable Encrypted Compute for Ethereum

Decentralized finance has evolved through distinct technological breakthroughs. Automated market makers enabled DeFi Summer in 2020. Liquid staking tokens powered the 2023-2024 growth cycle. Each era introduced capabilities that expanded who could participate and what could be built onchain.The next evolution centers on confidentiality. As institutional capital evaluates blockchain infrastructure, the transparent-by-default nature of current lending protocols creates fundamental barriers to adoption. Every position, every collateral amount, every liquidation threshold remains visible to competitors, arbitrageurs, and the broader market.

From the outside, RWAs look like a natural fit for blockchains. You get programmable settlement that removes manual reconciliation, global liquidity that connects previously siloed markets, and composable financial primitives that let you build on top of tokenized assets.But RWAs don’t exist in a vacuum. They are inherently institutional.Real estate, treasuries, credit, private equity, invoices- these assets are issued, managed, and distributed by institutions that operate under strict regulatory, reputational, and fiduciary constraints. That means RWAs don’t just inherit blockchain properties; they inherit institutional requirements.This is why most serious RWA deployments today look the same. They’re either partially onchain or heavily permissioned, restricted to a small circle of known counterparties. Many never move past pilot stages, not because demand disappears, but because scaling exposes information institutions cannot afford to leak.When we asked teams why pilots stall, the answer wasn’t regulatory uncertainty or missing infrastructure.

For years, token launches have felt like a choice between a) gas wars, bots, MEV, snipingand b) backroom deals, insider allocations, “community” rounds that don’t feel very community centric.Now we’re seeing something genuinely new: onchain sealed-bid style auctions used for token generation events (TGEs) and liquidity bootstrapping.Uniswap shipped Continuous Clearing Auctions (CCA) for Uniswap v4, a mechanism designed specifically for fairer token launches and price discovery. Aztec, the privacy L2, was the first major project to use it for its $AZTEC token sale.

How AlphaEngine Works: A Two-Pillar SolutionAlphaEngine's architecture is a powerful synergy of three key technologies: the composability of Uniswap v4 Hooks, the privacy of Fhenix's FHE coprocessor, and the decentralized trust of an EigenLayer AVS. This creates a system that executes complex, confidential logic off-chain while settling securely on-chain.

After six months of intensive user research, one pattern became crystal clear: Institutional privacy has a clearer ROI than consumer privacy- yet it’s not limited to institutions. High-stakes users with public reputations actively seek it, and even retail users signal the same through their habits: splitting activity across wallets, withdrawing through intermediaries, and deliberately avoiding linkability.

At Fhenix, our mission has always been simple: bring encryption to Ethereum and make privacy usable. Today, we’re taking another major step - [CoFHE] (https://www.fhenix.io/blog/introducing-cofhe-fhe-based-encryption-everywhere-with-a-single-line-of-code), our Fully Homomorphic Encryption coprocessor, is now live on Base. This marks the first FHE coprocessor running on Base, unlocking encrypted computation and private smart contracts directly on one of Ethereum’s most active L2s.

Right now, accessing digital content online is broken. You either give away your personal data to “free” platforms, commit to expensive subscriptions, or navigate endless paywalls.The 402 HTTP status code “Payment Required”, has existed for decades, waiting for a proper micropayment layer to make it real.Base’s x402 changes that. Want to read an article? The server responds with “402 Payment Required: $0.50” and you pay directly.No accounts, no subscriptions, no stored payment methods, just seamless access. There’s just one problem: every payment is public.

Not all privacy is equal. This post introduces a four-stage taxonomy for evaluating onchain privacy systems - from hardware-dependent TEE confidentiality (Stage 0) to cryptographic threshold schemes (Stages 1–2) to the theoretical ceiling of indistinguishability obfuscation (Stage Aleph). A practical framework for distinguishing real privacy guarantees from marketing language.

The agentic internet is coming. Standards like x402 and ERC-8004 are already defining it. AI agents will handle millions of payments, identity verifications, and coordination tasks. The only question is: Do we architect privacy into these systems from day one? Or do we build them transparent and spend years trying to retrofit privacy later? Because here’s the reality: You cannot bolt privacy onto a transparent system. Privacy has to be foundational, or it doesn’t exist at all. Privacy needs to be by design.

Ethereum’s missing privacy layer is anonymity. Guy Zyskind explains why it’s hard- and how Fhenix and Fluton are using FHE to make private, composable DeFi real.

Tel Aviv / Tokyo — October 22, 2025 — Fhenix, the leading infrastructure protocol powering Private DeFi via homomorphic encryption, today announced a strategic investment from BIPROGY and Translink Sustainability & Innovation Fund. BIPROGY Inc. is one of Japan’s largest IT service providers, with a strong footprint in the financial sector. This move underscores the growing necessity of privacy solutions for institutional adoption of Web3 and demonstrates strong institutional confidence in Fhenix’s technology. The investment lays critical groundwork for Fhenix’s deeper expansion into the Japanese Web3 ecosystem.

No, we’re not here to start World War III - but let’s get one thing straight: anonymity ≠ confidentiality. Think of confidentiality as putting your data in a vault, and anonymity as taking your name off the door. These are distinct but complementary privacy properties that address different aspects of user protection. Confidentiality hides what you're doing, including transaction amounts, token types, and trading strategies. Anonymity hides who you are, protecting wallet addresses and preventing identity linkability across transactions.

Fhenix’s new Threshold (FHE) Decryption eliminates this bottleneck — and the breakthrough has already been recognized by the academic cryptography community.Our paper detailing this innovation has been accepted to @acm_ccs 2025 (Conference on Computer and Communications Security) — one of the most prestigious global conferences in security, privacy, and applied cryptography.This acknowledgment places Fhenix’s research alongside the work of Microsoft, Google, Meta, Stanford, and MIT — validating that our progress isn’t just fast… it’s foundational.

Fully Homomorphic Encryption, once considered impossible by leading cryptographic experts, is finally here. It is encryption’s unicorn technology, allowing for the arbitrary computation of encrypted data and in turn…

Fhenix leverages cutting-edge Fully Homomorphic Encryption (FHE) technology to introduce for the first time native encryption capabilities into EVM smart contracts, enabling computation over encrypted data. This enhances data…

This article will provide a simplified overview of Fhenix technical whitepaper’s first iteration. Given that our work concerns cutting-edge technical research, we will be continuously updating it to incorporate…

Blockchain technology is currently poised to be the next major disruptor in various industries, promising widespread impact. However, it faces a critical limitation: all on-chain data is public. To…

This transcript captions a Space we hosted a few weeks ago, with Kyle Samani, Tarun Chitra, Guy Zyskind and Guy Itzhaki. Click here to tune in the Space recording.…

Introduction Blockchain’s transparency, while promoting trust, presents challenges for data that require privacy. This is especially crucial in trustless gaming, where multiplayer games risk exposing sensitive data, leading to…

Fhenix is pioneering a new era in computing where privacy and security are foundational elements for all. Core to this is forming meaningful relationships and sharing insights with industry…

TLDR: FHE vs. ZKP:Fully Homomorphic Encryption (FHE) offers a more flexible solution than ZKPs for blockchain, enabling private data validation. Their combination could transform confidential decentralized finance (DeFi). Challenges…

A booming area of technological advancement is Generative AI. OpenAI’s ChatGPT reached 100 million monthly active users only two months post-launch, making it the fastest-growing consumer app ever. Bloomberg…

TLDR: A technical deep dive into the challenges Fhenix is solving to make encrypted smart contracts production-ready. On-chain FHE faces 5 areas of challenge, with Part 1 covering nascent FHE schemes/libraries/compilers, as well as secure threshold decryption. This article covers ZKPs, Data Availability optimization, and…

TLDR: On-chain auctions are critical to blockchain, responsible for liquidations, token sales, and more. However, blockchain’s innate transparency results in privacy, integrity, and regulatory compliance remaining major issues for…

TLDR: There are 7 areas of blockchain that are limited by blockchain’s innate transparency. This list is only growing, and Fhenix’s ability to incorporate Fully Homomorphic Encryption (FHE) on-chain…

The CoFHE testnet is now live on Ethereum Sepolia testnet, with additional EVM-compatible chains coming soon.

Introduction: Decentralised Finance (DeFi) is growing rapidly and bringing trading, borrowing & lending, derivatives, and more on-chain. And yet, the public nature of blockchain is a significant limitation for many…

Fhenix is excited to announce the development of FHE coprocessors in collaboration with EigenLayer. Both projects will be dedicating significant resources towards FHE coprocessors, bringing wide-scale confidential compute to…

Today marks an important milestone in our mission to bring confidentiality to Ethereum through the first Layer 2 powered by the holy grail of cryptography: fully homomorphic encryption (FHE).…

We’re pleased to announce a partnership with Privasea, a leader in FHEML-focused AI + DePIN computing. The partnership will utilize both Privasea and Fhenix’s expertise to advance development of…

We’re excited to announce a partnership with zkPass: an oracle protocol that provides secure, verifiable sharing of private internet data. There’s a natural synergy between an identity and attestation…

Fhenix is an L2 and coprocessor that provides a platform for builders to leverage the power of FHE to build confidentiality-enabled applications on Ethereum. By lowering the barrier of…

We’ve been in talks with Offchain Labs, the people behind Arbitrum and one of the most cracked teams in the crypto space, on how to solve for encryption in Ethereum.

At Fhenix, our mission is to make encrypted computation a first-class primitive onchain. Today, we’re proud to announce a major milestone in that journey: CoFHE is now live on Arbitrum Sepolia.

Mid-2025 check-in: Fhenix is shaping up to be the backbone of encrypted computation on Ethereum. We’re all-in on making FHE the go-to standard for onchain confidentiality. Here’s a look at what we’ve shipped lately — and a sneak peek at what’s coming next as we keep building the Confidential DeFi layer for Ethereum.

Fhenix integrates FHE so smart contracts can compute directly on encrypted data without decryption, keeping data private throughout processing.