Geo AI

Developing new geodata potential with state-of-the-art AI solutions

What GEO AI brings you

The combination of geospatial information and artificial intelligence can help businesses make better decisions, increase efficiency and minimise risk, which can lead to greater overall profitability and customer satisfaction.

GEO AI can generate the following benefits:

  • Environmental protection
  • Efficiency increase
  • Improved decision making
  • Increased security
  • Improved customer interaction

Most data, from financial transactions and social media posts to weather records and satellite images have a spatial component. Many real-world problems are based on a specific geographical context. With Geo AI, Supper & Supper combines the potential of locations and spatial connections to state-of-the-art AI solutions.

How

Supper & Supper has all the necessary expertise to develop customized AI solutions based on the latest developments in neural networks and machine learning. This includes tasks such as automatic image recognition and segmentation of e.g. drone or satellite images, space-time analyses and predictions based on georeferenced sensor data, as well as object recognition and segmentation of 3D point clouds. In addition, Supper & Supper is active in the development of new approaches, such as hybrid processing of 3D and 2D data in specially developed neural networks.

GEO KI by Supper and Supper can provide companies and institutions from a wide variety of industries with important insights. Our solutions offer particularly great potential in the following areas:

+ road construction
+ landscaping
+ network planning
+ urban development & planning
+ spatial planning
+ energy supply

Success story

Modern surveying technologies (laser scanning, drone flights, etc.) allow the acquisition of high-precision 3D point clouds from existing construction sites. With the help of this data, construction sites can be better organized and processes can be monitored and improved. The evaluation of these data volumes currently requires high computing power, special knowledge and a great deal of time for the classification of the data. This stands in the way of widespread use on construction sites.

Dr. Dirk Ebersbach

GEO AI Use Cases – Data Science in Practice

Discover the possibilities

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Stefanie Supper
CEO

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