Fhenix has acquired Sunscreen, a long-running Web3 team focused on fully homomorphic encryption, as the privacy infrastructure company seeks to accelerate development of “quantum-safe” encrypted computation. The deal also brings Sunscreen founder Ravital Solomon into Fhenix to lead research, with the combined effort aimed at strengthening cryptographic capabilities across encrypted computation methods used for Ethereum and other major ecosystems.
Under the agreement, the parties will combine expertise spanning TFHE and BFV approaches, encrypted computation and post-quantum cryptography, according to the companies. Fhenix said the acquisition is intended to support scalable privacy tooling for blockchain use cases as on-chain finance, tokenization and other applications increasingly demand confidential data handling.
Key takeaways
- Deal announced: Fhenix acquired Sunscreen as it expands its fully homomorphic encryption privacy stack.
- Catalyst: The transaction includes the appointment of Sunscreen founder Ravital Solomon to lead Fhenix’s research efforts.
- Technical focus: The combined team will work on scalable encrypted computation and quantum-resistant cryptographic infrastructure.
- Platform implication: Fhenix said the work targets confidential blockchain applications across Ethereum, Arbitrum and Base.
- Strategic angle: The company frames the move as a push from encrypted computation theory toward practical deployment at scale.
What drove the acquisition
Fhenix said the purchase aligns with a broader push to build a quantum-safe privacy layer for blockchain ecosystems. The company’s stated intent is to expand its cryptography and engineering depth in areas including TFHE and BFV encrypted computation, compiler-related tooling, and post-quantum cryptography.
According to the announcement, Sunscreen first launched publicly in 2022 with an open-source FHE compiler and a grants program. Over time, Sunscreen expanded into zero-knowledge tooling, threshold-encrypted systems, developer tools and privacy-preserving application architectures.
Fhenix also highlighted that Solomon has been an early contributor to developing fully homomorphic encryption for blockchain systems. The company said her background includes lattice-based post-quantum cryptography and work spanning privacy-preserving smart contracts, encrypted computation frameworks and production-oriented cryptographic applications.
Market reaction and investor implications
The announcement does not provide any immediate information on financial performance or token or market pricing impact. However, the deal signals a continuing shift in investor and developer attention toward privacy infrastructure that can operate within mainstream blockchain environments.
By focusing on scalable encrypted computation rather than only academic feasibility, Fhenix is positioning its technology roadmap around developer deployment needs—particularly as on-chain activity expands beyond decentralized finance into areas such as payments, digital identity and artificial intelligence applications. If encrypted computation tooling becomes more practical, it could lower friction for building privacy-sensitive applications that still need to interoperate with existing blockchain components.
For market participants tracking the privacy and infrastructure theme, the integration of research leadership with deployment-oriented work may also be read as an attempt to reduce execution risk—moving from prototype-style demonstrations toward broader applicability across major networks.
How the combined team plans to build
Fhenix said the combined organization will bring together research and engineering capabilities covering BFV and TFHE approaches, threshold cryptography, compiler design and confidential application architectures. The company added that it has advanced recent research in areas including threshold FHE decryption and DBFV exact arithmetic, as well as scalable encrypted computation designed for blockchain workloads.
In its statement, Fhenix said the merged research effort will prioritize scalable FHE systems and quantum-resistant infrastructure intended to support privacy-sensitive use cases in finance, payments, digital identity, artificial intelligence and other on-chain applications.
Fhenix founder Guy Zyskind described the next phase as one where encrypted computation shifts toward scalability and practical availability for developers across today’s ecosystems. The company said Sunscreen was selected in part because of its track record in advancing the field from early stages, and because the acquisition adds both technical assets and a leadership transition to Fhenix.
Solomon said she started Sunscreen because she wanted advanced cryptography to move from theory to usable technology, and she pointed to Fhenix’s existing infrastructure across live blockchain ecosystems as a reason for joining. She framed the role as leading the next stage of research as encrypted computation approaches broader adoption.
Bigger picture: privacy, quantum resistance and Ethereum ecosystems
Fhenix said the acquisition supports its long-term strategy of assembling research talent focused on fully homomorphic encryption and privacy technologies. According to the company, progress in encrypted computation depends on solving technical challenges needed to make privacy systems scalable and practical for developers building blockchain applications.
Fhenix currently develops privacy infrastructure powered by fully homomorphic encryption, enabling encrypted smart contract functionality while maintaining blockchain composability. The platform, the company said, is currently focused on decentralized finance applications across Ethereum, Arbitrum and Base.
Meanwhile, Sunscreen’s reported strengths include applied cryptography and compiler technology, along with encrypted application architectures and developer tools designed to accelerate fully homomorphic encryption adoption in production environments. Combining these capabilities, Fhenix said, is intended to strengthen its quantum-safe privacy stack across major ecosystems.
With encrypted computation continuing to move from experimental tooling toward developer-facing systems, the acquisition sets up a near-term test of execution: how quickly Fhenix can translate research outputs—such as scalable encrypted computation and threshold decryption advancements—into deployable functionality. Investors and developers will likely watch for milestones related to compiler and deployment tooling, expansion of confidential application support on Ethereum-compatible networks, and any updates on how the integrated team advances its quantum-resistant privacy roadmap.
