As data privacy becomes increasingly critical, Fully Homomorphic Encryption (FHE) is gaining attention for enabling analysis and computation on encrypted data.. However, the high technical barrier and complex development environment have posed significant challenges for many developers.

Picture this: You walk through airport security, and your face alone unlocks the doors. Behind the scenes, systems silently verify your identity against official documents—no fumbling for IDs, no lines, no hassle.

Michael Pak, Nathaniel Rocks

Data silos, driven largely by individual privacy concerns and regulatory measures, pose a major challenge to the advancement of AI.