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Discrete & process manufacturing

Unplanned downtime is a prediction problem you are not making yet.

Your machines emit vibration, temperature, current and cycle data continuously. Most plants throw it away. Reading it is the difference between servicing a bearing on a Tuesday and losing a shift on a Friday.

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45% less unplanned downtime

What we usually find

The cost lines that keep showing up

Maintenance run on fixed calendars, so parts are replaced early or fail early

Quality inspection sampled by hand and inconsistent between inspectors

OEE reported weekly, long after the shift that caused the loss

Energy the second-largest cost line and effectively unmanaged

Deployments

6 things we know how to ship here

What the audit usually finds first: maintenance strategy: calendar-based rather than condition-based (high saving); qc coverage: sampled manually to an inconsistent standard (high saving); energy scheduling: no load shifting against tariff peaks (medium saving).

Predictive maintenance

Sensor ML

Detect the vibration and thermal signatures that precede failure and schedule the intervention into planned downtime.

Failures become planned work

Visual defect detection

Computer vision

Inspect every unit rather than a sample, at line speed, with a consistent standard that does not drift by shift.

100% inspection coverage

Throughput & OEE optimisation

Process mining

Find the real constraint across the line and quantify what each bottleneck costs per shift, live.

Constraint visible while it matters

Energy optimisation

Optimisation

Model consumption against output and shift load, then schedule heavy draw away from peak tariffs.

Lower cost per unit produced

Spare-parts demand forecasting

Forecasting

Stock the parts that will actually be needed instead of insuring against everything.

Working capital released

Operator assistance & SOP retrieval

RAG agents

Let operators ask for the right procedure or fault code in plain language, in their own language.

Faster fault resolution on the floor

PLC / SCADA integration · Edge inference, no cloud dependency · Retrofit onto existing machines · Shift-level dashboards

Proof

What we have shipped in manufacturing

Projects tagged with this sector, plus anything pinned to it in the admin.

Other playbooks

Sectors we also work in

Operating somewhere else? The audit looks at workflows, data and cost, not at your industry code. If we don't think we can help, the first call is where we'll say so.