Automate the Spatial Heavy Lifting
AI-powered GIS automation for civil engineers, surveyors, and infrastructure planners working in QGIS.
What GeoEdge AI Does for Engineering Teams
Automate linear infrastructure corridors: road, rail, pipeline, and powerline — with constraint overlays and cost-surface optimisation.
Generate DTMs, contours, slope, aspect, and cut/fill volumes from LiDAR or survey data with a single prompt.
Spatially cross-reference proposed works against existing underground and overhead utilities — flagged and mapped automatically.
Multi-criteria suitability scoring for development sites: combine slope, zoning, flood risk, and access in one automated run.
Batch-process field survey points, generate traverse adjustments, and produce cadastral draft overlays automatically.
Build and maintain spatial asset registers from survey data with automated attribute population and topology checks.
See the Difference in Practice
- Manually load DEM, road network, cadastre, and constraint layers
- Run least-cost path with trial-and-error parameter tuning
- Manually clip buffer zones and check ownership parcels
- Cross-reference utility maps in separate GIS session
- Produce constraint map manually in layout designer
- Total: 1–2 days of analyst time per corridor
- Type: 'Find optimal pipeline corridor from A to B avoiding flood zones and private land'
- Agent runs cost-surface analysis, applies constraints, checks utilities, generates corridor map
- Conflict report and layout exported automatically
- Total: 15–20 minutes
What used to take a day of GIS work before a design meeting now happens live in the room. GeoEdge AI changed how we present spatial options to clients.
Designed for Your Organisation
- Civil & Structural Engineering Firms
- Land Surveying & Cadastral Practices
- Infrastructure Planning Consultancies
- Utility Network Operators
- Urban & Regional Planners
- Road & Rail Project Teams
Ready to automate your GIS workflows?
Try GeoEdge AI free — no credit card required.
Runs inside QGIS — connects to your existing data sources and file structure.