Data management

Data preparation: From raw data to the basis for AI approaches

Our data preparation services offer a range of benefits, from improving the accuracy and reliability of your AI models to reducing the time and resources required for data management. In many applications (whether in industrial plants, research, or public institutions), large amounts of data are already available but often cannot be used systematically: they come from various heterogeneous sources. They are available in different (temporal and spatial) resolutions and various (sometimes proprietary) formats. In addition, fragmented data structures (e.g., in Excel spreadsheets) often hinder comprehensive analyses.

Therefore, we offer flexible data aggregation, processing, analysis, and database solutions that can be tailored to your unique tasks and challenges. No matter how complex your data sources are, we have the expertise to handle them effectively.

Database: Central provision of data with geodata support

We work with you to identify relevant sources and create a high-quality basis for reliable and precise analyses and machine learning applications through targeted data preparation and the creation of adequate and customized data storage. Whether structured or unstructured data, we secure the overview and goal with an analyzable preparation in the form of a database as a central, quality-assured data source.

Our many years of experience setting up databases with complex data guarantee suitable solutions, for example, for sensor data (e.g., from industrial plants) and image data. If applicable, we take into account time dependencies. We can also integrate unusual formats such as radar and sound recordings. Since much of the data has spatial references, we seamlessly integrate geodata (e.g., from satellite data) into the analysis processes.

Data analyses and feasibility studies: optimization potential in the application

We also offer our expertise to help you use the available data. In our extensive data analyses and feasibility studies on image processing, we combine industry knowledge with a scientific approach, thus regularly opening up optimization potential or providing ideas for new uses. Examples of AI approaches that have already been implemented include cement quality estimation and flame segmentation. We are also happy to advise using innovative imaging infrared sensors, particularly for high-temperature applications in the process industry, and carry out test measurements to evaluate new potential applications.