IIoT & industrial data
Connect machines and make data usable.
Industrial data already exists, scattered across PLCs, sensors and spreadsheets. The goal is not to produce more of it, but to make it reliable, shared and useful.
Connecting what exists
Legacy PLCs, meters, retrofitted sensors, protocol gateways: we bring back data from machines their makers never planned to connect.
Structuring the data
One common model for the plant, from sensor to KPI. The same measurement carries the same name and context, whatever application consumes it.
Edge and cloud, in the right place
Processing close to the machine when latency or security demands it, cloud platforms (Azure, AWS IoT) when several sites must be consolidated.
Preparing for AI and the digital twin
Clean, historised data is the precondition for predictive maintenance, vision-based quality control and the digital twin. We build that foundation first.
Use cases
- Machine connectivity and gateways
- Historian and plant data model
- Production dashboards
- Edge / cloud architecture
- Data foundation for AI
Talk about your plant
A first conversation to place your digital maturity and find the right starting point.
Digital transformation is measured on the shop floor, not in a slide deck.