Subsurface
intelligence
at real time.
Mineluz is a geoscience platform that uses real-time AI to accelerate exploration. Works on any stack, ingests every major geodata format, and delivers 3D models and confidence-scored targets instantly.
Three pillars.
One platform.
A modular AI engine — 3D CNNs for fault mapping, UNet for terrain segmentation, PointNet++ for LiDAR structure, and transformer ensembles for mineral targeting.
Data-agnostic ingest
Plug in SEG-Y seismic lines or cubes, LAS well logs, LiDAR point clouds, GeoTIFF satellite tiles, shapefiles and drone orthomosaics. Mineluz normalizes and merges every input automatically — no bespoke pipelines.
Real-time inference
Near-instant results without human pre-processing.
Confidence-scored targets
Every mineralization call arrives with a probability field.
3D geospatial mapping
Interactive heatmaps, fault overlays, and exportable 3D target models — ArcGIS, QGIS, or our web dashboard.
50–80% faster seismic
Seismic interpretation that used to take months completes in days.
Proof & process
in one stream.
The same engine that flags targets also explains them. Traceable inference, exportable evidence.
▸ load dataset("arizona_porphyry_q3.segy") # 412 lines · 1.4 TB · normalized in 00:14 ▸ run fault_map(model="cnn_3d_v7") # 86 fault surfaces · IoU 0.89 ▸ run target(model="transformer_ens", commodity="Cu,Mo") # 14 targets · median p=0.82 ▸ export targets → "arcgis" # ok · 14 features written
End-to-end in hours, not quarters.
Mineluz connects raw subsurface data to maps, models, and forecasts. The platform features an end-to-end AI engine with 80%+ mineral prediction accuracy, real-time seismic analysis, and 3D geospatial visualization.
Measured against
a quarterly baseline.
Not claims. Numbers Mineluz pilots have hit in production, against each operator's own baseline.
Trusted by industry
leaders, globally.
How mining, energy, and government geological teams use Mineluz in the field.
Mineluz cut our exploration costs by 35% and accelerated project timelines with precise mineral targeting.
Real-time seismic analysis provided actionable insights. Our drilling success rate and operational efficiency both jumped.
Integrated geospatial mapping streamlined our resource assessment and produced high-accuracy data for critical decisions.
AI-driven drilling optimization cut failures in half — significant cost savings and far better project outcomes.