About - LatticaAI

Our Mission

Making privacy-preserving AI accessible and practical for enterprises

We believe that data privacy and AI innovation should not be mutually exclusive. Organizations today face a fundamental tradeoff: they can either leverage powerful AI capabilities or protect their sensitive data, but not both.

LatticaAI eliminates this compromise by enabling computation directly on encrypted data without ever decrypting it.

32,412x

Faster Encrypted Compute

GPU-accelerated FHE performance breakthrough

What We Do

Transforming encrypted compute from research to production

End-to-End Encrypted AI

Run AI models on encrypted data with zero decryption. Data remains encrypted during inference, transport, and storage—maintaining privacy without compromising functionality.

32,412x Performance Breakthrough

Our HEAL abstraction layer and GPU-optimized FHE implementation deliver production-grade speed. What took hours now completes in seconds, making encrypted AI viable for real-time applications.

PyTorch-Native Workflow

Deploy encrypted models using familiar PyTorch APIs. Encrypt locally, query remotely—no cryptographic knowledge needed. Works with existing ML infrastructure and tooling.

Our Approach

Built on three core principles that make FHE practical for production AI

Hardware-Accelerated Execution

Multi-GPU orchestration and custom CUDA kernels optimize FHE operations at the hardware level, delivering the speed needed for production AI workloads.

Zero-Trust Architecture

Clients encrypt queries before transmission. Servers process encrypted data without access to plaintext, eliminating trust requirements in the compute pipeline.

Elastic Cloud Infrastructure

Auto-scaling encrypted compute clusters handle variable workloads. Pay for what you use with dynamic resource allocation that adapts to demand in real-time.

Our Philosophy

We design our system like a modern machine learning stack

We treat FHE as an ML infrastructure problem, not just cryptography. Our platform abstracts away the complexity, delivering the performance, scalability, and developer experience that production AI systems require—while maintaining cryptographic security guarantees.

Our Team

A small team of builders working at the intersection of cryptography, machine learning, and cloud infrastructure. We combine deep theoretical expertise with hands-on execution to make FHE practical for AI.