Internet of Things
Measuring what the factory floor currently cannot see
We build industrial IoT systems that bring field data where it is actually needed: energy use, downtime, process parameters. They work on existing mixed-brand plants, without replacing your machines.
- and MQTT on open standards
- OPC UA and MQTT on open standards
- on already-installed plants
- Retrofit on already-installed plants
- local and cloud processing
- Edge local and cloud processing
Services
What we build
From a single measurement node to a multi-site monitoring platform.
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Sensors and acquisition
Selection and installation of vibration, temperature, pressure, energy and part-count sensors, with dedicated acquisition boards.
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Gateways and edge computing
Edge nodes that read PLCs and fieldbuses, filter data locally and survive network outages without losing measurements.
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Industrial connectivity
Wired, industrial Wi-Fi, LoRaWAN and cellular networks, sized against the real shop-floor environment rather than the datasheet.
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Data platform and dashboards
Historised data collection, alarm thresholds and dashboards for production and maintenance, on desktop and mobile.
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Predictive maintenance
Models on vibration and current-draw data to anticipate failures and move from calendar-based to condition-based maintenance.
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OT security
Network segmentation, encrypted channels and credential management, so connecting the factory does not mean exposing it.
How we work
From sensor to decision
We always start from a narrow, measurable scope, then extend it.
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Field audit
We survey machines, available protocols, network coverage and data already sitting in the PLCs. Often half the useful information is already there.
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Pilot project
We install on one line or sample machine and verify data quality over a real production period.
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Rollout
We extend the validated solution to the rest of the plant, with repeatable installation and commissioning procedures.
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Operation and improvement
Monitoring, remote firmware updates and periodic review of thresholds and dashboards based on how they are actually used.
Do you really know what your machines are doing?
An initial field audit is enough to establish which data is already available and which needs new sensors.