Pre-built encrypted workloads and the flexibility to build custom applications
Explore our catalog of production-ready encrypted workloads and learn how to extend the platform for your specific use cases
Reference workloads are pre-built, production-ready encrypted compute applications that demonstrate the power of Fully Homomorphic Encryption in real-world scenarios. These workloads are fully functional, optimized, and ready to deploy, serving as both practical solutions and examples of best practices for encrypted compute.
Each reference workload is built on LatticaAI's platform, leveraging HEAL (Homomorphic Encryption Abstraction Layer) and GPU-accelerated FHE to deliver exceptional performance while maintaining complete data privacy. Whether you need a ready-to-use solution or want to build something custom, our extensible architecture makes it easy.
Build custom encrypted workloads tailored to your specific needs
Use our multi-language SDKs and RESTful APIs to integrate encrypted compute into your applications. Full documentation and developer tools included.
Build your own encrypted workloads using our platform infrastructure. Leverage HEAL's tensor-based interface for hardware-agnostic optimization.
Deploy workloads on our hosted infrastructure or integrate with your own systems. Full control over deployment and scaling.
Get early access to our deployment client that allows you to define and manage your own encrypted workloads
Experience encrypted compute in action with our interactive demonstration
Our interactive demo allows you to experience encrypted workloads firsthand. See how data remains encrypted throughout computation, with results decrypted only on your device.
We're building an interactive demo that will let you experience encrypted compute in real-time. Check back soon!
Get NotifiedExplore our catalog of production-ready encrypted workloads
Perform similarity searches and queries on encrypted vector data. Perfect for encrypted semantic search, recommendation systems, and RAG (Retrieval-Augmented Generation) applications.
Run machine learning inference on encrypted data. Supports non-generative models including classification, regression, and other predictive models while keeping data and queries private.
Perform statistical analysis and aggregations on encrypted datasets. Compute sums, averages, correlations, and other analytics without exposing raw data.
Build your own encrypted workloads using our extensible platform. Define custom computation logic while leveraging our FHE infrastructure and optimization.
Explore our workloads, join the waitlist, or contact us to discuss your specific needs