AI & ML for Geospatial

We bring modern machine learning to geospatial problems, building models that extract meaning from imagery and spatial data and ship them into production.

What we deliver

• Semantic segmentation and land-cover classification from satellite and aerial imagery.
• Object detection and change detection across time series.
• Feature extraction pipelines that turn pixels into structured, queryable vector data.
• Model training, evaluation, and deployment with reproducible experiments and monitoring.

Grounded in real operations

Models are only useful when they run reliably. We pay as much attention to data labeling, validation, and inference infrastructure as we do to model architecture — so what we build keeps working after handoff.