iiotecos: IIoT software for a digitized machining production

iiotecos is an IIoT software that connects your machines, records the actual status of tools, systems, workpieces etc. in the form of digital twins, aggregates and visualizes data. iiotecos can be used within or across companies.

You continuously optimize your production

You are certainly optimizing your production on an ongoing basis, but the greatest potential for optimization and, in particular, cost savings often does not lie in your own production, but results from cross-company cooperation with your customers or suppliers.

Collaborative robotics abstract concept vector illustration.

Is your production ready for the Industrial Internet of Things?


Discover Industry 4.0 for metal cutting

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


In the MAI ILQ2020 project, we analyzed the impact chains in detail - from the findings in data analytics to the economic potential. The greatest potential is particularly evident in automated inline quality control, predictive maintenance and process optimization.

Prof. Dr. Henner Gimpel

University of Hohenheim, Fraunhofer FIT


IIoT platform for the composites industry

With the help of the CCiiot platform, companies can make their production more efficient and sustainable, optimize products, digitize customer service and much more. The key: cross-company cooperation and sophisticated know-how protection.

With iiotecos, our users can network and collaborate independently. Especially as an industrial network, we must ensure confidentiality and security. The platform enabled us to build flexible offerings and control access rights in detail.

Dr. Tjark von Reden

Managing Director, Composites United e.V.

Mobile device repair abstract concept vector illustration.


iiotecos itself does not contain any sensor technology. In other words, we connect your existing sensors to our Industry 4.0 hub or we can recommend compatible sensor technology from our partners.

A broken tool leads to an unplanned interruption in production and possibly damage to the component. The signals for this, structure-borne noise and spindle power, appear as a deviation compared to a reference value. With the help of artificial intelligence, tool breakage can be predicted in the future in order to initiate appropriate countermeasures.

Jürgen Heinzer

Project Manager Toolmaking Munich, BMW Group, as part of the MAI ILQ2020 research project

Cloud computing security abstract concept vector illustration.

IIoT security

We know that the data from your systems is critical to the success of your company. That is why we rely on the highest security standards, a detailed role and rights concept and the principle of data sovereignty. That means: You alone determine who is allowed to see which data and you can coordinate this in detail.

The spindle power in relation to the path can be transmitted to the milling tool manufacturer by default. He can assess the performance of his tools and improve them. For more precise information, the spatial representation is required, but this is subject to production protection during the production of individual parts. The 3D representation is therefore only released upon request and in individual cases.

Jürgen Heinzer

Project Manager Toolmaking Munich, BMW Group, as part of the MAI ILQ2020 research project

Analysis & Visualization

We offer various options for data visualization and analysis so that you can get the greatest benefit from the data of your digital twins and exploit the full potential.

Start up launch concept vector illustration.

iiotecos offers flexible application options

An IIoT platform offers you numerous application options such as B. Inline quality control, predictive maintenance or digitized customer service.

Digitize customer service

Is there actually a claim to a guarantee? Thanks to iiotecos, the facts can speak in disputes. Suppliers and OEMs meet on an equal footing.

Data Analytics

View tabular, two- and three-dimensional data models and carry out any evaluations on them.

Inline quality control

Constantly monitor the quality in your production and get an overview of quality factors in the entire manufacturing process. There is no quality control after production.

Compensate for a shortage of skilled workers

Thanks to optimized processes, you can save manpower in post-processing, for example, and use resources on the machine in a more targeted manner.

Predictive Maintenance

Carry out maintenance work according to actual needs and not at intervals selected as a precaution. In this way, you can also prevent damage to systems.

Pay per Use

Thanks to the transparency of the actual duration of use of a tool, it is possible not only to bill per piece, but also to introduce new business models such as Pay-Per-Use (PPU) if necessary.

frimo logo

Is your production ready for the Industrial Internet of Things?

WordPress Cookie Plugin by Real Cookie Banner