GeoAI

See beyond the visible spectrum

Unlock satellite, drone, and street-level imagery with AI-driven analysis — sub-meter precision, GIS-aware annotation, and ML implementation for infrastructure and environmental teams.

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Why infrastructure AI teams need GIS-native partners

Generic annotation services miss spatial context — coordinates, projections, and asset classifications matter
Off-the-shelf remote sensing tools don't fit your specific imagery, AOI, or feature schema
Your ML team is burning engineering hours on data labeling instead of model development

What we deliver

Street Asset Annotation

Bounding boxes, segmentation masks, and point labels for road signs, utility poles, manholes, and street furniture.

Satellite & Drone Imagery

Multi-spectral analysis from Landsat, Sentinel, Planet, and UAV captures — feature extraction with sub-meter precision.

Solar & Aerial Detection

Panel detection, rooftop segmentation, and vegetation encroachment from satellite and drone imagery.

GIS-Aware QA

Spatial validation, coordinate accuracy checks, and classification QA against authoritative GIS databases.

ML Implementation

Deploy trained models into production pipelines with TensorFlow, PyTorch, and cloud-native inference.

See infrastructure AI in action

Live demo of feature extraction from street-level and aerial imagery — QA-reviewed output, schema-ready exports.

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Sub-meter accuracy (0.3m) with multi-spectral analysis across 15+ bands

CVAT, Labelbox, Roboflow, TensorFlow, PyTorch, GeoPandas, GDAL

Operated by Geospatial Solutions LLC — Washington, DC