Geospatial AI

Geospatial AI focuses on applying machine learning to location-based data: satellite imagery, maps, GPS traces, and 3D city models. It powers use cases like land-use classification, route optimization, risk mapping, and climate resilience planning. When combined with Spatial AI, geospatial models become operational Spatials-bridges, parcels, flood zones-used in VR Spatials simulations, AR Spatials guidance, and Spatial prompts for policy enforcement. For example, a geospatial AI model might detect flood-prone areas that become Spatials within a digital twin. Platforms like Spatials.aiTM can host and serve these derived Spatials, giving planners, utilities, and emergency responders a live geospatial intelligence layer that’s easy to integrate into apps and workflows.