As a service provider with over 20 years of experience in embedded software development, we offer you the development of a data strategy in heterogeneous environments. This involves identifying data sources, defining data types and finally aggregating and visualising data. This already results in added value in the uniform, clear collection of all data relevant to your application.
Whether for classification, process optimisation, decision-making in dynamic systems or as a recommendation system: We support you in selecting suitable AI applications for your use case. Creation, optimisation and use of the AI models from a single source.
Collecting data and creating AI models is easily ported to cloud environments. The centralised architecture simplifies data collection and unifies AI modelling. Simpler workflows and more efficient solutions are the result. We support you with data migration and processing in cloud solutions.
Whether federated AI, in which partial models are generated on different devices, or the roll out of centrally created models to embedded systems: With our experience, we support you in the selection of the appropriate tools, especially in the embedded and IoT sector.