Identify quality deviations
Reduce waste and usage
Limit unplanned downtime
We Explore: Our skill in electromechanical concepts lets us analyse your data and identify opportunities. We look at your entire technology stack, making sure our AI solutions are viable and match your strategic objectives, whether they are cloud-based or on-premises.
We Engineer: Our ‘AI for manufacturing’ services span from engineering data historians and pipelines to providing analytics and supporting your solutions with DataOps or MLOps. We focus on four key areas: quality control, anomaly detection, predictive maintenance, and process optimisation, all designed to enhance efficiency and control.
We Support: Our proven four-phase approach covers everything from a feasibility study to solution exploration, implementation, and support and maintenance. By putting the people that will use your data infrastructure first, we make sure that it is robust, reliable, and ready for the future.