Privacy has long been one of the most debated tradeoffs in blockchain, where transparency enables trust but limits what can realistically be built with sensitive data. Fhenix is taking a different approach by introducing fully homomorphic encryption to blockchain environments, enabling computations to be performed on encrypted data while keeping the underlying information private and verifiable on-chain.
—
By bringing this capability to EVM-compatible systems, Fhenix expands what developers can build, from confidential financial applications to secure, data-driven systems that require privacy by design. In this interview, we speak with Guy Itzhaki, CEO of Fhenix, to explore how encrypted computation could unlock a new category of decentralized applications.
The Opportunity To Bring Privacy Into Crypto
The conversation begins with a clear sense of momentum around one of the most overlooked areas in blockchain: privacy. Guy shares that he is increasingly excited by the growing demand for confidential systems, not just from institutions, but from everyday users as well. As the space matures, more participants are realizing that full transparency, while powerful, is not always practical for real-world use cases.
He explains that institutions in particular have been waiting for infrastructure that allows them to operate on-chain without exposing sensitive data such as financial activity, internal metrics, or user information. At the same time, individuals are becoming more aware of their own data footprint and are starting to expect greater control over what is visible and what remains private. This convergence of demand is creating a strong pull toward privacy-preserving technologies.
“The need for privacy with compliance is what we are solving” - Guy Itzhaki
For Guy, this shift represents a major inflection point. Rather than being a niche feature, privacy is becoming a foundational requirement for the next generation of applications. Fhenix is positioning itself at the center of that movement, enabling developers to build systems where data can remain confidential while still being usable and verifiable within a decentralized environment.