Compares
Every stoppage explained
Each stop is captured with its duration and cause, classified without anyone filling in a form, and costed. You get a weekly answer to the only question that matters: which three losses are worth fixing first.
Sector
The factory writes its own shift report, and tells you what the day cost you.
What it costs you today
A line stops, someone fixes it, and the reason is never written down. At month end nobody can say which loss is worth solving.
Parts are replaced too early or discovered too late. The expensive failure is always the one nobody saw building.
Someone competent spends hours rebuilding the same spreadsheet from the same sources, and it is already old when it is sent.
How it works here
Signal
Equipment state, output, vibration, temperature and power draw are read continuously, alongside what supervisors say at shift end.
Understanding
Every stop is classified and costed, and each asset is compared against its own signature rather than a generic threshold.
Action
Work orders are raised before failure, and the weekly answer to 'which three losses are worth fixing' arrives without anyone building it.
What it does from the first month
Compares
Each stop is captured with its duration and cause, classified without anyone filling in a form, and costed. You get a weekly answer to the only question that matters: which three losses are worth fixing first.
Predicts
Vibration, temperature and power draw on critical equipment are watched continuously. A bearing changing its signature is flagged while it is still a planned intervention rather than a broken line.
Captures
The supervisor talks into their phone for a minute at the end of the shift. It comes back as a structured report — output, problems, what the next shift must know — filed and searchable. Nothing to type, so it actually gets done.
Schedules
Consumption of spares is tracked against lead times. Anything that will run out before it can be replaced is flagged early, with the quotes you have already received put side by side.
Watches
Existing cameras check protective equipment, entry into restricted zones, and how close vehicles come to people. The incident that would have happened becomes a notification instead.
Estimates
Consumption is measured against what was actually produced, not per month. Equipment drawing power outside production hours becomes visible, and so does the machine quietly getting less efficient.
In practice
Eleven stoppages. One cause accounts for more than half the loss.
machine state + your maintenance log + shift notes
Classified automatically, costed against output
Illustration of the interface. Your data, your wording, your records.
A Tuesday in your business
A motor on the main line starts drawing slightly more current than it did last month. Nothing is wrong; nothing trips. Six weeks before it would have failed mid-shift, the system flags it against its own history and puts it on the maintenance list for the next planned stop. The part costs what a part costs. The failure would have cost a day.
Why this pays
11%
of turnover is what unplanned downtime costs the world’s 500 largest companies — up from 8% five years earlier.
Now put your own numbers in
We have not filled these in for you, and we are not going to. These are your figures, and the result is your estimate — not a claim of ours.
Recovered per year, on your numbers
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Enter your figures on the left.
Currency is whatever yours is. We do not see these numbers — the calculation happens in your browser and is never sent anywhere.
Test this against your real dataWhat it connects to
Read as it is. Nothing here needs replacing, and nobody needs to change how they work.
What it watches
Where sensing earns its place. Supplied at cost plus installation, and never a condition of getting started.
Other sectors