Industry 4.0 and industrial AI has long focused on predictive maintenance and anomaly detection. However, these technologies can only make machines more available. The next step is to make them operate closer to optimum. 

At their core, control and automation systems suffer from the fundamental limitation of being programmed by people. By moving beyond this limitation, machine learning can improve the performance of currently-deployed systems.

Our solutions can increase efficiency, yield, output quality, and process stability.

Our solutions can increase efficiency, production output and stability while improving the quality of production outputs.

Use Cases
What can AI do for your company

Higher production quality and improved performance of machines and plants

Higher yield and higher customer satisfaction

Cost savings and profit increase