Geospin is a young company that employs a team of highly qualified data scientists and developers. It offers location intelligence software solutions with a focus on geo machine learning. Geospin was founded in 2016 as a spin-off of the Smart City research group of the University of Freiburg. Over several years, we have developed and validated geo-analytics methods. Our research has been published in some of the best journals and conference proceedings of the field, received various international awards and serves as the basis of Geospin’s service portfolio. We are experts in providing predictions, in particular in the fields of mobility, real estate, insurance and municipal planning. Industry partners such as Siemens, Bosch and Deutsche Bahn rely on our Predictive Analytics.
Geospin’s software is able to make forecasts about the expected price developments in the near future by providing a solution that shows the current purchase and rental prices of commercial and residential properties as well as their influencing factors. A big added value is that the future price developments of commercial and residential properties can be anticipated. The prices predicted differs by 5% from the actual prices. In addition, relationships between real estate prices and environmental factors such as purchasing power and infrastructure can be identified. This is hardly possible with conventional methods. The insights gained in one city can be transferred to other residential areas.
We contribute to an acceleration of the real estate market, to a better assessment of the potential of investment objects and to an increased quality of price forecasts.