Lattica was founded on a simple yet radical idea: FHE could be made practical by leveraging the same acceleration techniques that power modern machine learning.
FHE makes it possible to compute on encrypted data, but its real-world adoption has been limited by performance bottlenecks and complex implementations. We realized that by applying the optimization strategies used in modern ML, such as parallel computation, tensor operations, and hardware acceleration, we could unlock FHE’s potential for AI.
With deep expertise in cryptography, neural networks, and AI infrastructure, we built a developer-friendly platform that integrates privacy-preserving AI seamlessly into existing workflows. Instead of asking companies to re-architect their ML pipelines, we make privacy as easy as deploying a model to the cloud.