Thanks to its constant commitment to research and development and participation in innovative projects with renowned universities across Germany in the field of Industry 4.0, INTEC International has won the certificate for innovation through research. Research and development is an essential part of the INTEC International strategy. The aim is to introduce new products and standardize them from the start. The result of this strategy is technical innovations with high profit potential. INTEC International GmbH was awarded the 2010 BITKOM Innovation Award for developing the control system for a bi-fuel engine for natural gas and diesel operation.

On-going Research Projects

QuinDa-ML – Quality assurance in production plants through intelligent data integration and use of machine learning methods with the build-up of expert knowledge.

The project is about the development of a modular system of software-based tools that uses machine learning (ML) methods for intelligent data integration and data evaluation.

The focus of the project is the software implementation of the data fusion methods into executable IT device functions for data preprocessing (SmartDevices) and their functional proof in demonstrator technology.

Here you can find more information about the project.


RESPOND’s goal is a flexible and dynamic production system in the Industrial Internet of Things (IIoT) that monitors its status itself and can react to errors and problems. The socio-technical production system carries out dynamic processes.

Thanks to the solutions developed in the project, more reliable and at the same time more flexible production systems of the future can be developed and operated, and technologies can be transferred to other IoT / CPS domains.

INTEC’s contribution here is the coupling, integration and preparation of the production data (RESPOND Objects) in a common platform. The focus is on intelligent handling of the resulting mass data in the Edge Gateway, the area that lies between production and the IT platform and becomes part of the workflow.

Here you can find more information about the project.

Successfully completed projects

The development of a pollution sensor

As part of the project, an overall system for reactive and predictive error detection for photovoltaic (PV) systems was developed and tested, including contamination detection. The system thus enables “predictive maintenance”, which includes forecast functions to predict malfunctions.

Here you can find more information about the project..


With the help of SmARPro wearables, information is provided to the employee in a context-based manner and depending on their current position – for example in the form of an augmented reality representation. The aim is to provide information that is directly related to the object in question.

Here you can find more information about the project..