01 · Entry
Smart Start
Discover
- Get started monitoring individual equipment
- Up to three sensors per DATATRON
- Manage up to 15 DATATRON units
- Dashboard for real-time analytics
- Manual root cause analysis
The DATATRONiQ portfolio covers the full path from machine to insight — the DATATRON edge gateway, connectors for PLCs and legacy assets, sensors for retrofit measurement points, and the central analytics platform.
First findings in days, not months — and the same stack carries you from pilot to plant-wide rollout. Combine the components as needed: each one stands on its own, together they go further.
DATATRONiQ is our central analytics hub for the industrial Internet of Things — built on proven methods for big data and machine learning.
Our multi-purpose digital enablement kit for any type of machinery – it operates in semi-automated hybrid-cloud mode for data collection.
Universal data-acquisition module for digital and analog signals – accepts any standard I/O terminal and brings sensor readings reliably into the platform.
Industrial-grade connectors that bring PLCs, sensors, and modern IoT infrastructure onto one platform.
No black box: each of the four building blocks above has a fixed place in the data flow. Sensors and controllers speak OPC UA, MQTT, Modbus, or PROFINET. DATATRON runs at the edge and executes models. Connectors hand off to the platform — and back to MES, ERP, and plant operations.
Note Smart Factory is the most-chosen entry point. Starter and Enterprise cover the edges.
01 · Entry
Discover
02 · Most chosen
Accelerate
03 · Scale
Transform
Three phases · from sensor to anomaly
Driving actionable insights from your equipment data is easy with DATATRONiQ. After we provide you with our plug'n'play digital enablement toolkit, you simply connect sensors to your equipment and start collecting and analysing data immediately — as simple and quick as getting a new router from your telephone or cable provider.
Monitor live data from every machine and every sensor stream. We compute KPIs in real time and let you pick arbitrary time ranges — day, week, month, YTD — and compare against the same period last week, month, or year. Export results for further analysis or share them inside the dashboard with interested personnel.
After a few days of data, our fully automated machine-learning algorithms start detecting anomalous behaviour and trigger custom events — messages, alerts, or webhooks pushed back into your existing systems. Depending on the number of streams per machine you collect, you can compare identical or similar equipment to optimise individual components.