GEOAI & Mobility

With Geo AI, Supper & Supper combines the potential of locations and spatial connections to state-of-the-art AI solutions.

We develop AI-driven solutions for the analysis of geodata, satellite imagery, and 3D point clouds, supporting mobility, infrastructure, agriculture, and industrial applications.

Why Supper & Supper for Your GeoAI Project?

With over 14 years of experience in Data Science and AI, we are your specialised partner for geospatial data analysis. We combine a deep understanding of spatial data with modern AI methods and support projects from data preparation to production deployment.

What is GeoAI?

GeoAI combines Artificial Intelligence with Geographic Information Systems (GIS) and remote sensing data. It lets you analyse spatial data at a scale and accuracy that traditional GIS methods cannot reach.

Core Components:

  • Computer Vision: Object detection in aerial and satellite imagery
  • 3D Point Cloud Analysis: Processing of LiDAR and photogrammetry data
  • Spatial AI: Machine learning for geospatial predictions

Related services: Data Consulting · Data Lab · Data Operations · Data Infrastructure

AI on 3D Data

3D point clouds from LiDAR scans and photogrammetry contain rich spatial information. Our algorithms automatically extract objects, structures, and semantic information from them.

  • Deep Learning for 3D point clouds (PointNet, PCN)
  • Semantic segmentation and object classification
  • 3D object detection and mesh generation
AI on 3D Data

AI on 2D Data

Satellite images and aerial photographs provide area-wide information across large territories. Our computer vision models analyse this data for land use, monitoring, and change detection.

  • CNNs for image classification and segmentation
  • Change detection for monitoring applications
  • Multi- and hyperspectral image analysis
AI on 2D Data

Mobility and Geodata

Combining mobility data with geodata enables intelligent transportation solutions and optimised route planning for the smart city of tomorrow.

  • Route optimisation based on traffic conditions
  • Traffic jam prediction with machine learning
  • Fleet and logistics optimisation with Geo-AI insights
Mobility and geodata