Now shipping — Mineluz Core v2.1

AI-Powered
Mineral
Exploration.

Mineluz is a geoscience platform that uses real-time AI to speed up exploration. It works on any system, processes all major geodata formats, and delivers 3D models and insights instantly. By automating mapping, it cuts time and costs by up to 80% and boosts target accuracy by 75%.

mineluz://live-inference active
40%
Cost reduction
75%
Targeting success
80%
Faster seismic
Confidence field82%
SEG-Y seismic volumes LAS / LAZ well logs GeoTIFF satellite LiDAR point clouds Shapefiles GIS Drone orthomosaics
01 · Capabilities

Why choose
Mineluz?

A modular AI engine — 3D CNNs for seismic fault mapping, UNet for terrain segmentation, PointNet++ for LiDAR structure, and transformer-based mineral targeting.

// 01

Data-agnostic & integrated

Supports SEG-Y, LAS/LAZ, GeoTIFF, LiDAR point clouds, and more — all in one platform. Mineluz normalizes and merges every input automatically, no bespoke pipelines.

// 02

Real-time AI analysis

A modular AI engine delivers near-instant results without human pre-processing.

// 03

Broad applications

Mining, oil & gas, environmental, and government geological surveys.

// 04

3D geospatial mapping

Interactive heatmaps, fault overlays, and exportable 3D target models — ArcGIS, QGIS, or our web dashboard.

// 05

Easy integration

Seamlessly connects with your existing datasets and workflows. 50–80% faster seismic end-to-end.

02 · Advanced Geoscience Insights

AI reduces exploration
costs while accelerating
discovery.

Leverage artificial intelligence to transform exploration. Our proven AI tools cut through industry inertia, accelerating timelines while slashing costs — bringing clarity to a sector facing mounting pressure.

mineluz.engine ~ inference
 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
      
Why It Matters
  • Supply bottlenecks threaten a $2T mining sector just as clean-energy, data-centre, and advanced-manufacturing demand for critical metals soars.
  • New discoveries have fallen ~75% in a decade; conventional exploration can't keep pace — financially, environmentally, or on staffing.
AI Advantage
  • Machine-learning targeting lifts discovery success to ≈75% (vs 0.5% industry average).
  • Recent AI-guided wins: Mingomba Cu > 3.5% (Zambia), Fontenoy Pd-Ni-Cu (NSW 2024), Queensway Au (NL 2020–24), Abbotts North Li₂O 1.25% (WA).
Proven Impact
  • Up to 4× faster, cheaper drilling campaigns.
  • Rapid fusion of seismic, geophysical & satellite data for sharper decisions across the exploration lifecycle.
Learn more
03 · Industry Context

The exploration
landscape is shifting.

Four forces reshaping how the world finds critical minerals.

// 01

Mineral discovery rates are down

Traditional exploration is capital-intensive, slow, and high-risk — with greenfield projects facing just a 1 in 5,000 chance of commercial success. Average drill success rates hover at only 0.5%. At the same time, surging global demand and tightening supply for critical minerals have intensified the need for transformative innovation.

// 02

AI tools unlock a $12T opportunity

AI-driven platforms are flipping the equation — cutting discovery costs by up to 80% and boosting success rates to around 75%. This leap could deliver $290–$390 billion in annual industry savings by 2035. Technologies like hyperspectral sensing, quantum imaging, and digital twins are making it possible to find deposits in previously inaccessible terrains.

// 03

Junior & mid-tier miners lead adoption

More agile and open to innovation, junior and mid-tier mining companies are reaping the greatest rewards from AI. Predictive targeting platforms have already powered discoveries like Mingomba Copper (Zambia), Fontenoy Pd-Ni-Cu (NSW), Keats & Lotto Gold Zones (Newfoundland), and Abbotts North Lithium Field (WA).

// 04

AI + remote sensing = the next frontier

As hyperspectral costs decline and commercial providers scale up, AI-integrated sensing tech is enabling faster, more accurate detection of concealed deposits. This approach aligns with modern ESG expectations and reduces ground disturbance, streamlining permitting and accelerating time to discovery.

04 · Outcomes

AI-driven exploration.
Real results.

By unifying data science and domain expertise, Mineluz turns raw geospatial data into actionable intelligence. Book a demo to see Mineluz in action and start finding resources faster and more reliably.

0%
Average exploration cost reduction across active pilots.
0%
Higher targeting success vs. manual interpretation.
0%
Faster seismic processing end-to-end.
05 · Customers

Trusted by industry
leaders, globally.

How mining, energy, and government geological teams use Mineluz in the field.

Mineluz enabled our team to reduce exploration costs by 35% and accelerate project timelines with precise mineral targeting.
TM
Taylor Morgan
BHP
The real-time seismic analysis provided actionable insights, improving our drilling success rate and operational efficiency.
JL
Jordan Lee
ExxonMobil
Integrated geospatial mapping streamlined our resource assessment, delivering high-accuracy data for critical decision-making.
CR
Casey Rivera
Shell
AI-driven drilling optimization cut failures in half, resulting in significant cost savings and improved project outcomes.
AK
Alex Kim
Barrick Gold
Get started

AI-driven exploration. Real results.

Request a demo to see Mineluz in action and start finding resources faster and more reliably.

Request a demo