AI-driven mineral
discovery platform.
Mineluz's platform connects raw subsurface data to maps, models, and forecasts. It features an end-to-end AI engine: 80%+ mineral prediction accuracy, real-time seismic data analysis, and 3D geospatial mapping & visualization.
Three stages.
One stream.
Data ingestion
Plug in SEG-Y seismic lines/cubes, LAS well logs/LiDAR, GeoTIFF satellite images, shapefiles, drone point clouds, etc. The platform automatically normalizes and merges all inputs.
- SEG-Y seismic (pre- & post-stack)
- LAS / LAZ well logs
- GeoTIFF multispectral satellite
- LiDAR point clouds
AI processing
Proprietary deep-learning models analyze and interpret data:
- 3D CNN + RNN — seismic fault / fracture mapping
- UNet CNN — terrain & lithology segmentation
- PointNet++ — LiDAR surface reconstruction
- Transformer ensembles — mineralization targeting
Visualization & export
Results appear as interactive heatmaps, 3D models, fault overlays, and confidence-scored targets. Export to ArcGIS/QGIS (GeoJSON, Shapefiles) or use our web dashboard.
- Export to ArcGIS / QGIS
- GeoJSON & shapefile
- Web dashboard
- API for custom pipelines
Accelerate exploration.
Reduce costs.
Flexible AI-powered solutions for mining, energy, and geoscience teams.
Core AI analytics for mineral targeting and geospatial mapping.
- AI mineral prediction (single dataset)
- Geospatial mapping tools
- Standard support
Advanced data integration and real-time seismic analysis.
- Multi-source data integration
- Real-time seismic interpretation
- 3D terrain visualization
- Priority support
- Drilling optimization tools
Comprehensive AI suite with custom integrations and dedicated support.
- Custom API integrations
- Dedicated account manager
- Enterprise-grade security
- On-premise deployment
- White-glove onboarding
- 24/7 expert support
Infrastructure- and
format-agnostic design.
SEG-Y is one of several seismic data standards; LAS is an open, widely used format for LiDAR and well logs; GeoTIFF is a global geospatial imaging standard. Mineluz processes all these seamlessly. In contrast, typical tools only handle one or two data types, forcing costly data conversions or manual linking.
No specialized hardware required
Mineluz requires no specialized hardware or dedicated AI teams on the client side. Smaller exploration companies can now afford the same AI capabilities as industry majors. By automating data cleaning and interpretation, Mineluz delivers results in near-real-time, shaving months off study timelines.
Transform your exploration workflow
Request a demo to learn how our platform integrates with your existing systems (ArcGIS, QGIS, cloud storage, etc.) and starts producing high-confidence geological insights immediately.