Reference Workload Catalog

Production-ready encrypted compute workloads. Explore interactive demos or contact us for access.

8 Workloads
4 Live Demos
Live Demo
CNN Inference
🤖

CNN Inference

Run convolutional neural network inference on encrypted image data. Process visual inputs while keeping your images completely private throughout the computation.

  • Convolutional neural networks
  • Encrypted image processing
  • Real-time classification
  • GPU-accelerated
Interactive Demo

MNIST Digit Recognition

Draw a digit to see encrypted CNN inference in action.

Draw a digit (0-9)
Live Demo
Language Processing
💬

Language Processing

Analyze and classify text on encrypted data. Perform sentiment analysis, topic classification, and other NLP tasks while keeping your text completely private.

  • Text classification & analysis
  • Privacy-preserving NLP
  • Real-time processing
  • Multi-language support
Live Demo
Image Processing
🖼️

Image Processing

Apply filters and transformations to encrypted images. Enhance, sharpen, or process visual data while maintaining complete privacy throughout the operation.

  • Image enhancement & filters
  • Encrypted pixel operations
  • Real-time processing
  • Various image formats
Live Demo
Predictive Analytics
📊

Predictive Analytics

Generate predictions and insights from encrypted data. Build risk models, forecast outcomes, and analyze trends while keeping source data completely private.

  • Risk assessment models
  • Forecasting & predictions
  • Medical & financial data
  • Regulatory compliant
Contact Required
Vector Database
🔍

Vector Database Search

Perform similarity search and exact match queries on encrypted vector embeddings. Ideal for semantic search, RAG applications, and recommendation systems.

  • Similarity & exact match
  • Cosine & Euclidean distance
  • Scalable to millions
  • RAG & semantic search
Contact for Access

Request Demo Access

Experience encrypted vector search with sample embeddings.

Contact Us
Contact Required
Data Analytics
📈

Data Analytics

Compute statistical aggregations and analytics on encrypted datasets. Calculate sums, means, correlations, and other metrics without decrypting source data.

  • Statistical aggregations
  • Correlation analysis
  • Group-by operations
  • Batch & streaming
Contact for Access

Request Demo Access

Run analytics queries on encrypted datasets.

Contact Us
Contact Required
Fraud Detection
🛡️

Fraud Detection

Detect fraudulent patterns and anomalies in encrypted transaction data. Identify suspicious activities while maintaining complete privacy of financial records.

  • Anomaly detection
  • Pattern recognition
  • Real-time monitoring
  • Batch processing
Contact for Access

Request Demo Access

See fraud detection on encrypted transaction data.

Contact Us
Contact Required
Recommendation Systems

Recommendation Systems

Generate personalized recommendations from encrypted user data. Build collaborative filtering and content-based systems while protecting user privacy.

  • Collaborative filtering
  • Content-based matching
  • Privacy-preserving
  • Real-time recommendations
Contact for Access

Request Demo Access

Generate recommendations from encrypted user data.

Contact Us

Build Custom Encrypted Workloads

Our developer library abstracts away FHE complexity, letting you build encrypted applications using familiar programming patterns.

No FHE Expertise Required

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.

Familiar Syntax

Use standard tensor operations and mathematical functions. No need to understand FHE schemes, parameter selection, or cryptographic primitives.

GPU Deployment

Test and deploy workloads directly on our GPU infrastructure. No local setup required—develop, test, and scale in the cloud.

Automatic Optimization

The library automatically selects optimal FHE parameters, handles noise management, and optimizes computation graphs for performance.

Hardware Agnostic

Built on HEAL, your workloads automatically benefit from the latest GPU hardware without code changes. Write once, optimize everywhere.

Development Workflow

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.

Local Development → GPU Deployment

  1. Develop locally: Write your workload logic using the library. Test with simulated encryption to verify correctness.
  2. Deploy to GPU: Push your workload to our platform. It runs on GPU infrastructure automatically—no configuration needed.
  3. Test at scale: Execute with real encrypted data on GPU hardware. Monitor performance and iterate.
  4. Production ready: Once validated, your workload is ready for production use with full GPU acceleration.

Get Early Access to the Developer Library

Join the waitlist to build and deploy your own encrypted workloads using our developer library and GPU infrastructure

What You'll Get

  • Access to the developer library and SDK
  • GPU infrastructure for testing and deployment
  • Documentation and code examples
  • Direct support from our engineering team
  • Early access to new features and capabilities

Ready to Build Encrypted Applications?

Explore our reference workloads, join the developer library waitlist, or contact us to discuss your specific requirements