IoT & Artificial Intelligence
Predictive maintenance pilots for manufacturing SMEs
A focused 4–8 week pilot on one machine, designed to prove value before scaling across the plant. Designed for real factory constraints, not lab assumptions.
Pilot structure
How a predictive maintenance pilot runs
We follow a clear, time-boxed sequence so you get a working pilot and a concrete decision point at the end — not an open-ended research project.
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Workshop with operations and maintenance to choose the right machine, failure modes, and success criteria.
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Pragmatic choice of sensors and edge hardware that fit the equipment and environment.
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Time-boxed pilot scoped around one machine and one operational outcome.
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Reliable ingestion of kohore data into a clean, queryable pipeline.
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Initial model tuned to your equipment, validated against real events where possible.
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Operator-friendly view with alerts your maintenance team can actually use.
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Written report with results, limitations, and a clear recommendation for rollout.
Outcomes we aim for
Every pilot is scoped around measurable operational outcomes — not technology for its own sake.
- Lower unplanned downtime on the pilot machine
- Earlier detection of failure precursors
- Better-informed maintenance scheduling
- Operational data your team can trust and reuse
Have a downtime problem we should look at?
We start with a short technical workshop — no long-term commitment required.