
The more data is available, the more precise the insights can be. To maximize the quality of our AI models, we rely on a comprehensive process of data preparation and annotation.
Data cleansing: Our data engineers analyze the collected data and develop a cleansing strategy to select the most relevant information.
Data annotation: Our experts annotate the data according to the respective use case, e.g. using oriented bounding boxes for object recognition or masks for image segmentation.
We support you in exploiting the full potential of your data and developing customized AI solutions that meet your requirements.