Industry 4.0 – data collection, analytics and automation

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Real-time data collection from machines and sensors, OEE and quality analytics, production automation and MES integration.

Unlocking hidden capacity in production requires data: when a machine stops, why scrap occurs, where the bottlenecks are. We connect machines, PLCs and sensors to a central data platform and turn the data into clear dashboards and alerts.

On top of the collected data we build AI-based analytics – such as predictive maintenance or anomaly detection – and automate manual administrative steps in production.

What you get

  • Machine and sensor data collection (OPC UA, Modbus, MQTT, S7)
  • Time-series database and real-time dashboards
  • OEE, downtime and scrap analysis
  • Predictive maintenance and anomaly detection with AI
  • Integration with MES, ERP and quality systems

Benefits

  • Less unplanned downtime
  • Data-driven decisions in production
  • Less paper and manual data entry
  • Step-by-step rollout with fast payback

Technologies

  • OPC UA
  • MQTT
  • Node-RED
  • InfluxDB / TimescaleDB
  • Grafana
  • Python

Frequently asked questions

Can data be collected from older machines?

Yes. If a machine has no communication interface, valuable data can still be collected with retrofitted sensors (current draw, vibration, part counters).

Where is production data stored?

On the factory's own servers (on-premise) or in a secure cloud, as required – production data typically stays on site.