What we deliver
Data acquisition fails when sensors, scaling, time sync, or network design are weak. Orgenis builds the full path: instrumentation, signal conditioning, industrial networking, historians, and dashboards that operations will actually use.
- Sensor selection, scaling, and field instrumentation integration
- Historian and MES alignment (AVEVA PI, Ignition, custom pipelines)
- OPC UA / MQTT / edge collection for AI-ready telemetry
- Tag standards, naming, and documentation for long-term maintainability
- Dashboards for OEE, quality, energy, and abnormal behavior
Why plants call us
Teams often have PLCs but no trustworthy data layer. Or they have historians full of unused tags. We close the gap between controls and analytics so maintenance and leadership see the same reality on the floor.
Questions
What is industrial data acquisition?
It is the practice of collecting, conditioning, storing, and presenting signals from machines and processes — temperatures, speeds, faults, counts, and more — so people and software can make better decisions.
Can you prepare data for anomaly detection?
Yes. We design tag quality, sampling, and pipelines so AI-ready analytics and predictive maintenance have clean, time-aligned inputs instead of sparse or noisy tags.
Do you install sensors as well as software?
We support both: electrical and sensor integration alongside PLC, SCADA, and historian work, so the measurement path is engineered end to end.