Why JuLenny Exists
We believe that massive data assets shouldn't remain locked because of compliance fears. The technology to collaborate on sensitive data without exposing it has existed in academia for years. We built JuLenny to make it practical for enterprises.
JuLenny is backed by JuLenny Pte. Ltd., a Singapore-based cyber security company.
We Understand the Problem
We know how hard it is to balance the need for data-driven collaboration with the realities of regulatory compliance, competitive sensitivity, and the simple reluctance to hand proprietary information to a third party. Every enterprise we talk to faces the same tension: the data that could unlock the most value is exactly the data that carries the most risk to share.
We Solve It With Cryptography, Not Trust
JuLenny is built on fully homomorphic encryption, the same research the open cryptography community has advanced for over a decade, hardened into production infrastructure. The guarantee is mathematical rather than contractual: your data stays encrypted under your key through every computation, so no one has to be trusted with it, including us.
Beyond Analytics
Encrypted computation isn't just about running queries on someone else's data. Wherever two organizations need to collaborate without fully exposing what they know, FHE makes it possible.
Defense & Government
Allied agencies can cross-reference classified intelligence or logistics data without declassifying it or granting access to each other's systems.
Finance & Banking
Banks can jointly screen for fraud or run anti-money-laundering checks across customer portfolios without sharing account details with each other.
Healthcare & Pharma
Hospitals and research institutions can collaborate on patient data for clinical studies while keeping individual medical records fully protected.
Let's Talk About Your Data
Whether it's regulatory compliance, competitive sensitivity, or simply not wanting to hand over proprietary data to a third party, we'd like to show you what's possible.
Schedule a Technical Deep-Dive