Run your business apps and AI on a server you own—or in the cloud. We handle either. For most small teams, owning the hardware costs far less over three years—and your data never leaves the building.
The build is one quoted project—most workstation builds land between $1,500–2,000 including our labor. Ongoing care starts at a fixed $50/month. Use the cost calculator to compare paths side by side.
The cloud is convenient, but the bill never stops. A well-built machine in your office is a one-time cost that keeps working for years—and for privacy-sensitive work, the data physically stays with you.
A comparable AWS production setup runs roughly $125–175 every month for infrastructure alone—before any support. A workstation build is paid once, then costs pennies in power. Over three years the difference is usually thousands of dollars.
Client records, health information, financials—whatever you run stays on hardware you can point at. No cloud account, no shared tenancy, no data leaving the building unless you decide it should.
We spec for longevity: server-grade components, generous storage, a battery backup, and Ubuntu Server LTS. With a care plan and a storage refresh around year 8–10, a decade-plus of service life is a realistic goal.
Need zero upfront cost, or off-site disaster recovery from day one? We deploy to AWS properly—encrypted storage, managed database, private networking—and manage it under the same care plans.
Everything in the quoted project—the machine, the software, and the know-how to run it. Most builds land between $1,500–2,000 including parts and our labor; the exact quote follows a short planning call.
Server-class parts chosen for your workload—not the most expensive parts we can sell you.
Ubuntu Server LTS, your applications, and any AI software—tested, tuned, and documented.
A private server is only private if it’s set up that way. We make sure of it.
Written, step-by-step instructions for the everyday stuff—whether you run it yourself or add a care plan.
Fixed monthly pricing for one server or AI computer we built (or explicitly agreed to cover). Business and Complete include prepaid development hours for improving the app that runs on it—not just keeping the lights on.
$50 / month
Light-touch care when you mostly run the machine yourself—kept updated, kept watched, and we’re a call away during business hours.
Highlights
Exact details and response times are spelled out in your agreement.
$150 / month
Everything in Essential, plus 1.5 hours of prepaid development work every month—new features, logic changes, and tools for the app your team actually uses.
Highlights
Exact details and response times are spelled out in your agreement.
Starting at $250 / month
Maximum hands-on care: 2 hours of dev and workflow work monthly, after-hours support, backups proven by restoration drills, and premium AI models for complex work.
Highlights
Final Complete Care pricing is quoted based on scope—$250/month is the floor, not a surprise-fee starting line.
These rows apply when you choose an ongoing care plan for the one machine on the agreement. Exact response times and hours are defined in your written agreement—not on this page.
| Capability | Essential | Business Most popular | Complete |
|---|---|---|---|
| One designated server or AI computer covered by the plan | |||
| Regular health checks: software, storage space, and cooling | |||
| Security updates planned and applied safely | |||
| Driver and operating system maintenance, planned not rushed | |||
| Backups of your settings and critical data | |||
| Remote support during business hours | |||
| Prepaid development hours on your app each month (1.5 hrs Business / 2 hrs Complete) | — | ||
| We keep the AI software itself updated and working | — | ||
| Help adding or swapping AI models, with a way back if it misbehaves | — | ||
| Faster guaranteed response times | — | ||
| Written notes after every issue, plus updated how-to guides | — | ||
| Works hand-in-hand with your managed IT plan (if you have one) | — | ||
| After-hours help when something urgent breaks | — | — | |
| Backup and restoration drills to prove recovery actually works | — | — | |
| Quarterly review: performance, storage, and what to plan next | — | — | |
| Premium AI models (Fable 5, GPT max mode) for complex work | — | — | |
| Front-of-the-line scheduling for changes | — | — |
Each plan includes everything from the plans below it. This table describes the work we perform under contract—it is not a guarantee the machine will never have a problem. If you need a website hosted (separate from this in-office machine), see managed web hosting.
If your application touches health information or other regulated data, the deployment path changes what compliance looks like. Here’s the honest picture for both.
Protected data stays on-site
Compliant, with more moving parts
Setting expectations
Model licenses, third-party model terms, and legal use of AI outputs remain your responsibility unless we agree otherwise in writing. We don’t claim HIPAA or other certifications unless explicitly contracted and documented.
Compare a workstation build against AWS over 3 or 5 years. Adjust the numbers to match your situation—or ask the assistant and it will adjust them for you.
AI assistant
I can explain the calculator and help compare AWS vs a workstation build.
Estimates for planning only. Final build and care pricing is quoted after a short call. Call (208) 316-9491.
A private server is most useful when your team has an easy way to use it—a simple tool on their screen instead of a technical command line.
We can build that custom software alongside the machine: one project, one team, one clear owner of the whole thing. Examples: a staff page that sends questions to your private AI, dashboards for reviewing the answers, or connections to your email and business systems.
Details live on our web development & custom apps page—including privacy-sensitive work when your industry requires it. We can quote the server, the custom software, and where it fits, website hosting together.
You get a clear quote before work starts, honest advice about whether a build or cloud path fits, and work that’s tested and verified before we hand it back. If something isn’t right, tell us and we’ll make it right.