As a team of mathematicians, physicists and computer scientists experienced in artificial intelligence (AI) and its application, especially in signal analysis of medical and chemical data, we focus on the development of products for the diagnosis, therapy and prevention of (neurological) diseases with a broad spectrum of symptoms, in which our expertise can develop particularly well.
The majority of us have previously worked on the concrete diagnosis of operating resources (especially transformers) of power supply companies with the help of a variety of sensors (with a focus on multi-frequency ultrasound). For this purpose, methods of AI (e.g. neural networks) as well as multivariate statistics were used.
Reference projects were the successful development, testing and multiple installation of a prototype test system together with A. Eberle GmbH & Co. KG (Nuremberg) at transformers in the networks of Westnetz GmbH (now E.ON) in Wesel (DE), Electrica Transilvania Nord S. A. Substation Cluj (RO) and Trasmissione Elettricità Rete Nazionale S. p. A. (TERNA) in Venice (IT).
We are committed to the Data Science code of professional conduct. This code of conduct was created by the Data Science Association of which we are a member. It can also be downloaded as a PDF file (238 KB) on the homepage of the association.