More power for your business

Analytics: Collecting large amounts of data, filtering it, and analyzing it with AI to derive previously unknown patterns, correlations, and insights.

Prediction: Analytics, connectivity and AI models expand the ability of a smart factory to predict developments or simulate alternative courses of action for decision-makers in scenario analyses.

Planning & Scheduling: AI-based planning and control systems for order, capacity or bottleneck planning significantly increase the output of a production network without machine or capacity investments.

Execution: Virtual robotics automates standard operational execution routines. Scenarios, measures or decisions made are executed transparently and automatically. Humans can make focused decisions based on data and scenarios and retain full control in the process. The execution is then highly automated.

Connectivity & IIoT: The basis of the Smart Factory is a connection of the system elements to the so-called “Internet of Things” (IoT). A high connectivity of all elements increases information density, database, as well as actuator technology of an application. The higher the connectivity, the more degrees of freedom for complex smart factory applications.

Cloud computing: Highly complex problems solved by microservices, preferably directly from the cloud. This means that existing systems can be expanded from the cloud as required and the service is always ready to go. The smart factory users benefits from the results and high performance without having to maintain the infrastructure themselves.