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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

fake road
Applied Science

Improving Geological Mapping by Inpainting Surface Infrastructure Artefacts

Created by Mahsa Paknezhad and Jack Maughan In remote sensing-related geological modelling projects, a common…
MICA
Applied Science

(Re)Introducing MICA

Created  by Mark Grujic. Today, we are relaunching our web application to study Mineral Identification…
custom fruit image grid
Applied Science

Streamlining a fruit salad data process with Shiny and AWS

Created by Eleanor Mare. What do you do if you've developed a great data analysis…

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