We build private AI that stays private.

JARVIS@WORK was founded on a straightforward observation: most enterprise AI tools require you to hand your data to a third party. That is a problem for any organisation with regulatory obligations, IP sensitivity, or a basic expectation of data sovereignty.

We built the JX-001 to make a different choice possible. A 70-billion-parameter large language model, running entirely on hardware inside your own building, deployed in five days. No cloud dependency. No shared inference. No hidden telemetry.

Our team operates across London and Cape Town, working directly with mid-market enterprises — typically 50 to 500 employees — who need enterprise-grade AI capability without enterprise-scale infrastructure budgets.

Every deployment begins with an operating audit. We map your workflows before we touch hardware. The result is a system configured to your domain, integrated with your existing tools, and run by your team — with our engineers on call 24/7.