Software Products for Digitalization, IIoT, and Industry 4.0

iiotecos: Digital twin software for the digitalization of production

iiotecos is an IIoT software that connects your machines and uses sensors to record the actual status of tools, systems, workpieces, etc. in the form of digital twins. The digital twin software aggregates and visualizes data. iiotecos can be used within or across companies and is equipped with a sophisticated roles, rights and security system – for maximum protection of your know-how.

CuttingEdge World: IIoT platform for machining

The CuttingEdge IIoT platform is specially tailored to the needs of manufacturers and users in the machining sector and helps companies save up to 20 percent on production costs.

CCiiot: IIoT platform for the composites industry

With the help of the CCiiot platform, companies from the composites industry can make their production more efficient and sustainable, optimize products, digitize customer service and much more.

Process Data Analyzer: Digitize production processes, record production data

A digital representation of your production processes creates transparency and serves as the basis for various analyses and optimizations. The Process Data Analyzer is characterized by the fact that it creates a digital shadow for each component involved in a production process. The Process Data Analyzer describes the production processes in a company and illustrates the sequence of individual production steps, quality assurance measures and logistical processes that a component goes through on its way.

Machining Analyzer: Visualize and analyze production data

The Machining Analyzer accesses the data of a digital twin platform via interfaces. It makes it possible to select and visualize all available facets of the digital twin. On the one hand, the Machining Analyzer enables and simplifies in-depth analyses based on software-supported data selection. On the other hand, a fully automated analysis up to a forecast (including AI modeling) can be prepared by a clever selection of data from selected objects. AI modeling can be developed on the basis of software-supported analysis and integrated as additional services, for example anomaly detection in the workpiece material that can be traced back to deviations in previous process steps.