Lattica Emerges From Stealth With FHE Platform for Secure AI Processing

We’re at a point where data privacy isn’t just a compliance checkbox—it’s a business-critical priority. And if you’re in a sector like finance, healthcare, or government, you’re probably feeling the pressure to leverage AI without compromising on security. That’s where Lattica comes in.

The company just emerged from stealth mode this week with something worth paying attention to: a fully homomorphic encryption (FHE) platform that lets AI models process encrypted data without decrypting it first. It sounds like magic, but it’s very real—and now, it’s becoming practical for enterprise use.

Lattica’s platform solves one of the biggest challenges in AI adoption for sensitive industries: how to use powerful models without exposing sensitive data.

Here’s the core of what they’re doing:

• FHE-based processing: Data stays encrypted end-to-end—even during inference.
• AI providers can host models, manage access, and allocate compute—but never see the actual data.
• End users run secure, private queries, without needing to trust the provider with raw information.

That’s a game-changer if you’re in a regulated industry, or simply want peace of mind that your data isn’t being siphoned or mishandled.

At the heart of Lattica’s platform is something they call HEAL (Homomorphic Encryption Abstraction Layer). It’s a cloud service that acts as a bridge between FHE software and hardware. That includes:

• CPUs, GPUs, and TPUs
• ASICs and FPGAs

In plain terms? It standardizes and accelerates how FHE runs across different environments, making it actually usable in real-world workloads—not just research labs.