Millstone AI deploys private AI for organizations that can't, or won't, send their data to someone else's servers. We work with regulated industries and software teams to put AI on infrastructure they control.
Hands-on and pragmatic. If an existing tool solves the problem, we use it. Custom development only happens when it's actually needed. We use the simplest, most repeatable system a problem allows, and add AI autonomy only when the problem truly requires it.
Working in regulated industries means earning trust before access. We sign NDAs and scope data access to only what a project requires. For sensitive work, we design deployments so your data stays on your own infrastructure and never leaves your environment.
Jacob started Millstone AI to help organizations adopt AI without giving up control of their data. He's a process engineer who came to AI from regulated manufacturing, with years in aerospace and semiconductor production under NADCAP, AS9100, and ISO. That background is where the approach comes from: high-stakes, audited environments where "probably fine" isn't good enough.
He builds and runs the systems he advises on, from inference engines and RAG pipelines to model evaluation, and speaks on AI risk and governance for compliance audiences, including at HCCA conferences.
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