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Grounded by a geologist-first mindset, we solve mining and exploration problems using a combination of domain expertise and advanced machine-learning techniques. From greenfields exploration to micron-scale mineralogical studies, we provide insights to inform critical decisions and extract value from geoscience data. 

Our skills

Domain expertise is vital for the successful application of machine learning in geoscience.

1

Geological data specialists
2

Geological modelling and synthesis
3

Geophysical modelling
4

Geochemical processing and modelling
5

QGIS and data science training
6

Cloud computing
7

Geospatial data analysis
8

Statistical analysis
9

Computer vision

What we can do

  • Near miss modelling
  • Geomet modelling and domaining
  • Prospectivity modelling
  • Geophysical similarity and characterisation
  • Data integration

  • Hyperspectral processing and modelling

  • Geological property predictions and domaining

  • Geological characterisation

  • ML application development

  • and much more, all through the lens of understandable and actionable machine learning

Our diverse Applied Science team has broad experience and expertise across multiple geoscience, data science and machine learning disciplines, with experience across the minerals, oil and gas, government and academic sectors.

Our specialists include geologists, geophysicists, ML engineers, data scientists & many, many more

Hear from our team

Demonstration of Haralick features applied to VRTP magnetics grid of Australia.
Applied Science

Harnessing the Power of Computer Vision in Geophysics

Created by Tom Schaap. This blog post is a summarisation of Schaap et al., 2024.…
Figure 3: Clusters determined using Louvain (Potts), Louvain (Dugue), Leiden and walktrap methods.
Applied Science

Automated geological mapping with unsupervised community detection models

Created by Katie Silversides This blog is adapted from: Katie Silversides, Jack Maughan and Mark…
Inferring geological features
Applied Science

Inferring geological features masked by artefacts in core photography using neural networks

Created by Yasin Dagasan, Harvey Nguyen and Mark Grujic This blog is a republication of…

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