From Raw Survey Data to Spatial Insight — Fast
AI-powered spatial automation for exploration geologists, mine planners, and resources GIS teams using QGIS.
What GeoEdge AI Does for Mining Teams
Automate tenement boundary loading, expiry tracking, and conflict detection against new application areas.
Load and symbolise magnetics, gravity, and radiometric grids; run automated anomaly extraction and target ranking.
Plot drill collar locations, generate downhole traces, and produce 3D section view exports — all from prompt.
Batch-process soil and rock chip assay results into contoured anomaly maps with percentile threshold flagging.
Auto-generate required exclusion and offset buffers around heritage sites, waterways, and protected zones.
Produce formatted tenement schedule maps and statutory reporting layers from live GIS data automatically.
See the Difference in Practice
- Manually load geophysics grid, drill results, and geology map
- Symbolise each layer individually — time-consuming re-styling
- Cross-reference assay results with structural interpretation
- Manually delineate target polygons and calculate areas
- Produce target map with annotations by hand
- Total: 3–5 days for a typical target generation package
- Type: 'Identify Cu-Au targets from magnetics and soil geochemistry, rank by anomaly score'
- Agent loads datasets, runs spatial join + anomaly analysis, ranks and maps targets
- Target report with ranked polygons and statistics exported automatically
- Total: Under 1 hour
Our exploration team went from producing one target map per week to five. GeoEdge AI handles the spatial groundwork so our geologists can focus on the geology.
Designed for Your Organisation
- Exploration & Junior Mining Companies
- Major Mining Operations GIS Teams
- Geological Consulting Firms
- Geophysical Survey Contractors
- Resource Estimation Groups
- Tenement Management Offices
Ready to automate your GIS workflows?
Try GeoEdge AI free — no credit card required.
Integrates with your existing QGIS project files and spatial databases.