MarginOS

Close the leaks.
See the margin.

MarginOS finds where a subcontract machine shop lost money on a job: which jobs ended up unprofitable, where the difference came from, and what can be done about it — using the systems you already have.

Book an assessment call

Thirty minutes, no commitment. We walk through one completed job and see whether the difference would have been found.

What it does

  1. The morning exception queue

    Ordered by where the most money is tied up — not by whatever happened to catch the eye.

  2. The margin bridge

    Shows to the euro where the gap between quote and actual came from: hours, material price, quantity, rework, credits.

  3. Evidence for every claim

    Every figure opens into its source record: which posting, from which system, when. No guesses.

  4. An approved action, then verified

    A proposal goes for approval, and the outcome is checked afterwards. A number is not proof until it has been verified.

What we don't promise

We don't promise that AI will run your machine shop. We don't promise a savings figure up front, and we don't ship a black box whose numbers nobody can check.

The promise is narrow and measurable: we find the margin leaks and show what they rest on. The calculation is deterministic and traceable to source records, and your finance owner approves the costing rules before a single figure is displayed.

Who it's for

Subcontract manufacturers and machine shops, roughly 20–150 people, with repeat jobs and traceable job costs. The requirement is not the age of the system but whether jobs, hours, material and invoicing can be exported in some form.

We are looking for 2–3 machine shops

We are building the first version. We are looking for two or three shops to define the costing with, walk through historical jobs, and measure the result. The work is done together, and the source data stays yours.

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