Industrial AI Applications
AI only creates value in manufacturing when it is built on the right data and a solid automation foundation. We run your AI projects end to end, from collecting machine data to developing the application and putting it into operation. We assess your needs and available data together to set a realistic starting point.
Application areas
- Quality control and defect detection with image processing
- Anomaly detection and early warning in machine data
- Analysing the effect of process parameters on quality
- Data analysis for predictive maintenance
AI does not replace the PLC
The decisions of an AI application are still carried out in the field through PLCs, drives and safety systems. That is why our projects also cover the automation foundation and data collection; if the foundation is not reliable, the AI layer will not be either.
How we work
- 01
Problem and goal
We set a measurable goal such as scrap rate, unplanned downtime or inspection time.
- 02
Data
We assess existing data and, if it is missing, set up data collection from the machines.
- 03
Development and trial
We develop the application and test it with real production data.
- 04
Deployment
We connect the application to the automation system, put it into operation and measure the results against the goal.
Frequently asked questions
How much data is needed to start an AI project?
It depends on the problem. For some applications existing PLC and drive data is enough, while applications such as image processing require collecting sample images. During the survey we assess your data and define the need together.
Can we start with a small pilot?
Yes. Starting on a single machine or station with a measurable goal is the soundest way to see the benefit before scaling up the investment.
Send us your request
Briefly describe your machine and needs; we will contact you for a survey and quote.