Production-ready encrypted compute applications and tools to build your own
Encrypted workloads are complete applications that perform computations on encrypted data using Fully Homomorphic Encryption (FHE). Unlike traditional systems that require decryption before processing, these workloads maintain data privacy throughout the entire computation pipeline—from input to output.
We provide both a catalog of pre-built, production-ready workloads for common use cases, and a developer library that enables you to build custom encrypted applications without deep FHE expertise. All workloads run on our GPU-accelerated infrastructure, allowing you to test and deploy at scale without managing local hardware.
Production-ready encrypted compute workloads. Explore interactive demos or contact us for access.
Run convolutional neural network inference on encrypted image data. Process visual inputs while keeping your images completely private throughout the computation.
Draw a digit to see encrypted CNN inference in action.
Analyze and classify text on encrypted data. Perform sentiment analysis, topic classification, and other NLP tasks while keeping your text completely private.
Apply filters and transformations to encrypted images. Enhance, sharpen, or process visual data while maintaining complete privacy throughout the operation.
Generate predictions and insights from encrypted data. Build risk models, forecast outcomes, and analyze trends while keeping source data completely private.
Perform similarity search and exact match queries on encrypted vector embeddings. Ideal for semantic search, RAG applications, and recommendation systems.
Experience encrypted vector search with sample embeddings.
Contact UsCompute statistical aggregations and analytics on encrypted datasets. Calculate sums, means, correlations, and other metrics without decrypting source data.
Detect fraudulent patterns and anomalies in encrypted transaction data. Identify suspicious activities while maintaining complete privacy of financial records.
See fraud detection on encrypted transaction data.
Contact UsGenerate personalized recommendations from encrypted user data. Build collaborative filtering and content-based systems while protecting user privacy.
Generate recommendations from encrypted user data.
Contact UsOur developer library abstracts away FHE complexity, letting you build encrypted applications using familiar programming patterns.
The library provides a high-level API that handles FHE operations, parameter selection, and optimization automatically. You write code using familiar tensor operations and mathematical functions—the library translates these to efficient encrypted computations under the hood.
Use standard tensor operations and mathematical functions. No need to understand FHE schemes, parameter selection, or cryptographic primitives.
Test and deploy workloads directly on our GPU infrastructure. No local setup required—develop, test, and scale in the cloud.
The library automatically selects optimal FHE parameters, handles noise management, and optimizes computation graphs for performance.
Built on HEAL, your workloads automatically benefit from the latest GPU hardware without code changes. Write once, optimize everywhere.
The development process is straightforward: write your computation logic using the library's API, test locally with simulated encryption, then deploy to our GPU infrastructure for production testing and execution.
Join the waitlist to build and deploy your own encrypted workloads using our developer library and GPU infrastructure
Explore our reference workloads, join the developer library waitlist, or contact us to discuss your specific requirements