private AI, installed on your hardware — Northern Kentucky

Your AI runs here. Not in someone else’s cloud.

I install private AI — models and agents — on a machine you own, then keep it healthy. Unplug the network cable; it keeps working.

Start the conversationHow it works

Free intake call. You leave with a written plan either way. Or run the private fit check.

Illustration: what the last hour of every setup looks like — the unplug test.

who it’s for

Privacy-bound professionals

Lawyers, therapists, advisors — client data that carries obligations. The question stops being ‘which vendor do I trust’ and becomes ‘is my own machine secure.’

Small businesses

Drafting, document search, summarizing — on hardware you own, with per-seat subscriptions replaced by equipment you keep and a plan you can cancel.

Tinkerers & learners

Building it yourself? Good. The build logs document how I do it — including what broke.

the honest comparison

What local actually buys you — and what it doesn’t.

Cloud AI, stated fairly

  • Your prompts and files leave your premises under a provider’s terms and retention.
  • The strongest models live there, and for many jobs they are better.
  • You pay per seat for as long as you use it; outages stop the workflow.

Local AI, stated fairly

  • Your data stays on hardware you own.
  • Open models are smaller, but genuinely good for focused drafting, search, and summarizing.
  • You buy the hardware once; ongoing care is optional; it works offline.

Local-only is not automatic regulatory compliance, and no system is “100% secure.” What it changes is custody. Read the full local-AI-versus-cloud comparison and the claims I will and will not make.

receipts, not testimonials

Inspect the work and the failure that improved it.

I don’t have testimonials yet, and I won’t invent any. These are the projects and build records you can inspect instead.

local AI control plane

Newport OS

Fail-closed permissions, governed writes, honest attribution, and receipt-backed proof gates.

See all work, including audio and home automation →

build log 001

The evaluator that caught my own bug

My tests were green. An independent adversarial pass found a real fail-closed bypass anyway. I fixed it, then made the evaluator prove the fix.

Read the build log →

A conversation, not a sales call.

You’re talking to Brian Niceley, the person who scopes, builds, tests, and supports the work. You leave with a written plan whether or not you hire me.

Start the conversation →

Founding-client setup pricing is available for the first three publishable case studies. See the honest trade.