
Geospin
Germany-based machine learning company that develops software solutions for analysing geodata.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
* | N/A | Seed | |
Total Funding | 000k |
EUR | 2017 | 2018 | 2019 | 2021 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | 11 % | - | - |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
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Geospin operates as a location intelligence software provider, specializing in geo machine learning to support business-to-business clients. The company emerged in 2016 as a spin-off from the Smart City research group at the University of Freiburg, Germany, an origin that grounds its services in extensive academic research. Its founders, including Dr. Sebastian Wagner (CEO), Dr. Tobias Brandt, Dr. Johannes Bendler, Dr. Christoph Gebele, and Niklas Goby, leveraged years of research in smart cities and geographical big data analysis to establish the firm. Their academic work, recognized with numerous awards and high-profile publications, formed the foundation of Geospin's core methodologies.
The company's business model is centered on a Software-as-a-Service (SaaS) platform that delivers data analytics as a service. Geospin's core product, the location intelligence assistant LIA, enables clients to make informed, data-driven decisions by analyzing spatial data. This is achieved by integrating a client's internal data with over 800 external data points, encompassing information such as weather patterns, traffic flow, demographics, and social media trends. By applying specialized machine learning and deep learning algorithms, the software identifies geographical success factors and predicts where and when products or services will be in demand. This allows businesses to understand hidden urban structures and dynamics, aiding in strategic and operational planning.
Geospin serves a diverse client base across sectors like mobility, energy, real estate, insurance, and retail. Notable clients include major industrial partners such as Siemens, Bosch, Volkswagen, and Deutsche Bahn. A key application of their technology is forecasting the usage rates of electric vehicle charging stations, helping municipalities and network operators optimize their infrastructure planning. In June 2018, Geospin secured a seven-figure seed funding round from investors High-Tech Gründerfonds (HTGF) and Thüga AG to facilitate further software development and market expansion. Although Geospin was reportedly acquired by HERE Technologies, details of the acquisition are not publicly available. Keywords: location intelligence, geo machine learning, geospatial analytics, B2B software, SaaS, big data analysis, predictive analytics, smart city technology, site selection analysis, EV charging optimization, market analysis, customer segmentation, geodata, spatial data, HERE Technologies, University of Freiburg spin-off, demand forecasting, retail analytics, real estate data, mobility solutions