ENCRYPTED COMPUTE

We compute.
You stay private.

Run AI inference and database queries on encrypted data.

In the cloud, at scale, with no plaintext exposure.

Get Started Learn More

The Privacy Problem

The data you need to compute on
is the data you least want to expose.

Every existing solution forces
a compromise.

On-Prem

Lose Cloud Scale

Keep data inside and run models locally. You maintain control but sacrifice the scale and flexibility of cloud infrastructure.

Anonymization

Lose Model Quality

Mask or remove sensitive data before sending to the cloud. You get cloud scale but degraded model performance and accuracy.

Confidential Computing

Assume HW is Trusted

Run inside secure hardware (TEEs). You get cloud scale but must trust hardware vendors and cloud providers.

LatticaAI

Eliminates the compromise.

Cloud Scale

Full Model Utility

Zero Trust

How It Works

From deployment to encrypted result

Service providers deploy workloads. End users encrypt locally. Lattica computes on the encrypted data.

Deploy Your Workload

Service providers upload AI models or databases through the platform. Lattica hosts and serves them securely.

Encrypt Your Query

End users encrypt queries locally with the Query Client before anything leaves their environment.

Encrypted Execution

Lattica executes directly on encrypted data using Fully Homomorphic Encryption. No plaintext exists on our infrastructure at any point.

Get Encrypted Results

End users receive encrypted results and decrypt locally. Only they hold the key.

What you get

Lattica's Encrypted Compute Platform

Hosted Encrypted
Execution (GPU-backed)

Lattica provides a hosted runtime for encrypted AI and database workloads.

We handle orchestration, scaling, and GPU execution, allowing model and database providers to expose privacy-preserving query endpoints without managing FHE infrastructure themselves.

Developer
SDK & API

Applications integrate a lightweight client SDK that encrypts queries locally before they leave the user's environment.

Encrypted requests are sent to the Lattica platform via API and executed without exposing the underlying data.

Reference Workloads +
Extensibility

Pre-built encrypted workloads demonstrate production use cases including AI inference for common model architectures and encrypted vector database similarity search.

Developers can use these as starting points or extend them to support new privacy-preserving applications.

Who Is This For.

Two roles. One platform.

Service Providers

Host & Serve Workloads
Deploy and manage AI models and databases on the cloud with ease
Monitoring Dashboard
Track usage, costs, and performance in real-time
Token-Based Access
Control user permissions with flexible access management
Resource Management
Scale compute resources with flexible worker scaling

End Users

Query with Privacy
Run queries on AI models and databases with complete data privacy
Zero Data Exposure
Neither the platform nor model provider sees your raw data
Local Decryption
Decrypt results on your device-you maintain full control
Easy Integration
Simple Query Client for seamless encrypted inference

Industries where privacy is non-negotiable

Healthcare

Hospitals use AI diagnostics and query medical databases in the cloud without sharing patient records

Financial Services

Banks run fraud detection and search transaction databases without exposing sensitive data

Security & Identity

Airports check passports against encrypted databases without revealing passenger identity

Ready to run encrypted workloads?

Encrypted inference and database queries are in production today.
Talk to us about your workload.

Get Started Read the Whitepaper

We compute. You stay private.