Geospatial AI Engineering
ArcGIS, Earth Engine, RAG/GraphRAG for Spatial Intelligence
Overview
Geospatial AI engineers delivering end-to-end spatial intelligence—from satellite segmentation and hydrography to market and subsurface suitability analysis. We combine ArcGIS/QGIS + PostGIS and Google Earth Engine with Python (GeoPandas, rasterio) and web visualization to produce defensible, decision-ready maps, dashboards, and simulations.
Workflows are production-grade (FastAPI, MongoDB tiles, caching), explainable (RAG/GraphRAG + concise agentic summaries), and cloud-native (AKS/GKE, CI/CD) so insights arrive quickly and reliably.
Technical Excellence
Approach & Methodology
- Data sourcing: Tiles/rasters + vector layers; harmonization and CRS handling
- Feature engineering: Zonal stats, isochrones, proximity, viewshed, hotspotting
- Retrieval: Spatial joins for RAG; region-aware context windows in agent prompts
- Outputs: Map layers, KPIs by region, ranked opportunity/risk lists
Technology Stack
- GIS Software: ArcGIS Pro/Online, QGIS, Google Earth Engine
- Spatial Libraries: PostGIS (PostgreSQL), GDAL/rasterio/pyproj, GeoPandas
- Backend: Python, FastAPI, Pydantic, AsyncIO; Streamlit/Dash for analyst apps
- Data Storage: MongoDB for time-series/tiles; embeddings & graph stores for relationships
- Infrastructure: Docker, managed Kubernetes, CI/CD, observability
Measurable Impact
Expected Results
- Clear "where/why" stories for planners and operators
- Reusable spatial tiles/pipelines for faster repeat analyses
- Production hygiene: autoscaling, probes, and cost controls
KPIs We Track
- Time-to-map
- p95 latency for spatial endpoints
- Accuracy of spatial overlays vs. ground truth (when available)
- Cost per 1k tile requests
- Cache effectiveness
How We Work Together
Discovery → Build/Integrate → Harden → Operate
Specialized services include:
- Hydrography workflows: Watershed delineation, stream network extraction, floodplain indicators
- Satellite imagery: Segmentation/classification (e.g., U-Net/DeepLab), land-cover/NDVI, change detection
- Suitability analysis: Multi-criteria evaluation (MCE/AHP), terrain/hydro-geology overlays, groundwater potential
- Market analysis: Trade areas/catchments, gravity models, site scoring and demand heatmaps
Ready to Get Started?
Let's discuss how Geospatial AI Engineering can transform your business