Industry 4.0
Factory-floor systems that turn machine data into decisions.
- Unplanned downtime
- −32%Unplanned downtime
- Vision inspection accuracy
- 99.4%Vision inspection accuracy
- Overall equipment effectiveness
- +11ptsOverall equipment effectiveness
What we hear
The problems described on the first call
Data trapped in machines
Equipment generating telemetry that never reaches anyone able to act on it.
Reactive maintenance
Failures discovered when production stops, with unplanned downtime costing more than the repair.
Manual quality control
Inspection by sampling and eye, letting defects reach customers and root causes go unidentified.
What we build
How we address them
Industrial IoT platforms
OPC UA and MQTT ingestion from PLCs and sensors into a time-series platform with live operational dashboards.
Manufacturing execution
Work orders, traceability, scheduling and OEE tracking connected to ERP.
Quality and compliance
Digital inspection records, non-conformance workflows and full batch genealogy for recall readiness.
Applied AI
Where AI pays off in manufacturing
- Predictive maintenance from vibration and thermal signals
- Computer vision defect detection on the line
- Production scheduling optimisation
- Yield analysis identifying root-cause process drift
Standards we build to
Typical stack
Start the conversation
Building for manufacturing?
Let's talk about your constraints.
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