Durham Spinout StratoBayes Launches With £280k to Bring AI Below Ground
The company uses AI and statistical modelling to help geologists predict what lies beneath the surface, from geothermal sites to carbon storage.
- StratoBayes has launched with £280k of backing.
- It combines patchy evidence such as boreholes and seismic data to model the subsurface.
- Uses include geothermal energy, helium, critical minerals and carbon storage.
Durham University spinout StratoBayes has launched with £280k of backing to commercialise AI technology for subsurface decision-making.
The problem it solves
Working out what is happening several kilometres underground usually means relying on a limited set of clues, such as boreholes, rock samples, seismic data and surveys.
StratoBayes uses AI and statistical modelling to piece that patchy evidence together. It helps geologists make better predictions about what lies below the surface, and shows how confident they can be in those predictions.
Where it could be used
The technology is useful for decisions such as where to drill for geothermal energy, helium or critical minerals, or whether a site is suitable for storing captured carbon. In short, it aims to reduce the number of very expensive guesses about what lies underground.
