Query with FHE

Run AI models and vector database searches on encrypted queries

STEP 1
Encrypt on device

ENCRYPT ON DEVICE

A query is encrypted directly in the browser or client application. Lattica never sees or stores plaintext, only ciphertext.

STEP 2
Compute in the cloud

ENCRYPTED COMPUTATION

The AI model or database search runs directly on the encrypted query.

STEP 3
Decrypt on device

DECRYPT ON DEVICE

The final prediction is decrypted locally.

Encrypted Workloads

Vector Database Search

Search and query encrypted data without exposing sensitive information

ML Inference

Run AI model inference on encrypted data

External Apps

Turning manually built workflows into reusable platform flows.

From Research to Regulated FHE

  • High computational costs
  • Limited practical optimization
  • Lack of standardization
Timeline: FHE from 1978 academic question through theoretical feasibility, early libraries and chips, GPUs, LatticaAI encrypted compute in 2023, and regulation with ISO in 2026

Lattica Re-engineers FHE for Acceleration

Encrypted Data

Changing encrypted data to match GPU memory layout by treating encrypted data as tensors.

Hardware Orchestration

Orchestrating parallel encrypted execution on GPU / TPU / FPGA / ASIC.

FHE Programs

Lattica treats encrypted programs as SIMD, compiling them to custom GPU kernels.

Cloud Scale

FHE enables cloud-scale processing and agility, while maintaining privacy.

Experience Cloud-Native FHE

Build, deploy and run workloads directly on accelerated hardware.