From drillhole data to 3D geological models in minutes
Drop your CSV, SHP, or field notes. StrataSense uses AI to interpret stratigraphy, structural features, and mineralisation, then generates publication-ready 3D models and geological sections.
interpretation
data format
cross-sections
Three steps. Raw data to geological model.
No weeks of manual wireframing. No $100K software license. Just your data and an AI that understands geology.
Import your data
Upload drillhole CSVs, shapefiles from QGIS, field notes, or core logs. StrataSense reads collar, survey, assay, and lithology tables automatically.
AI interprets the geology
The model correlates stratigraphic layers across boreholes, identifies structural features (faults, fractures, folds), and maps mineralisation zones based on your data density.
Explore your model
Navigate an interactive 3D subsurface model. Generate 2D cross-sections at any orientation. Toggle layers, filter by mineralisation, export for reporting.
Stratigraphic Correlation
AI matches lithological boundaries across boreholes, even with sparse data. Handles unconformities, pinch-outs, and lateral facies changes.
Structural Modeling
Automatically detects and models faults, fractures, and fold axes from drillhole deviations and logged discontinuities.
Mineralisation Mapping
Interpolates grade distributions from assay data. Visualise ore bodies, grade shells, and enrichment zones in full 3D.
Adaptive Resolution
Model detail scales with your data density. More drillholes in an area means higher-resolution geology. Honest about uncertainty where data is sparse.
Geological modeling should require expertise, not a software budget
StrataSense puts the power of 3D subsurface interpretation in the hands of every field geologist, not just the teams that can afford six-figure software licenses.