Years of line data sitting unused while quality, supply chain and margin pressure climb.
Book a consultationThe average plant loses around eight hundred hours a year to unplanned downtime, better than fifteen hours a week of lost capacity.
Roughly a quarter of machine downtime traces to human error rather than the machine, and most of the rest gives warning in the data first.
Every line has been recording itself for years; the ability to act on it in the moment is what never arrived.
Almost every line writes down every cycle, reject and stoppage, yet when a quality problem or a supply shock hits, the response still leans on the same few experienced people it always did.
Holding quality steady at full rate is a margin question, and manual monitoring catches deviations after they have already cost yield.
Forecasting that leans on intuition rather than the plant's own history misses the swings, and the cost lands on inventory and expedite.
The judgment that keeps a line inside its envelope is concentrated in people approaching retirement, with no structured capture replacing it.
We've built data platforms for our clients, designed to ingest from the telematics, SCADA, historian and ERP/EAM systems used across manufacturing, including the ones below.
Capability statement, not a checklist. No per-vendor endorsements implied.
It tends to run in a sensible order, and we can join at any point.
where the operation stands
the value on one line or one high-cost asset
the data foundation underneath it
the capability in your own teams
That is usually where the clearest, fastest-paying use case is hiding.
Tell us what you run and where it hurts - we'll tell you the smallest first move that pays.
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