DESILO FHE Library v1.16.0 Release Notes

Understanding Private AI: Using AI Without Handing Over Your Data

Understanding the GL Scheme: Homomorphic Encryption Redesigned from Scratch for Matrices

DESILO's THOR Selected as Reference Implementation for Encrypted AI in Global FHE Benchmarking Suite

DESILO Inc. today announced that THOR — the world's first framework to run the entire LLM inference process directly on encrypted data — has been officially added to the global FHE Benchmarking Suite as the reference implementation for encrypted language-model inference. Through this, a common standard on which anyone can reproduce and compare the performance of encrypted AI inference has been established, opening the door for enterprise in healthcare, finance, and the public sector to safely deploy powerful AI models on sensitive data without risk of exposure.

Understanding THOR: Running LLM Inference on Ciphertext

Understanding Fully Homomorphic Encryption (FHE): Computing on Data Without Ever Opening It

DESILO FHE Library v1.15.1 Release Notes

DESILO FHE Library v1.15.0 Release Notes

DESILO Attends London Tech Week 2026 Receptions and Nexus Luxembourg 2026, Accelerating Its European Market Entry

DESILO Website Renewal

DESILO FHE Library v1.14.1 Release Notes

DESILO FHE Library v1.14.0 Release Notes