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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

Data mess to business success
Blog | Applied Science

From data mess to business success 

Created by Pouya Emami and Eleanor Mare If you’ve ever been involved with data science…
Sunrise Dam
Blog | Platform

Datarock core case study: Discing Analysis at Sunrise Dam Gold Mine

Created by Sam Johnson and Yasin Dagasan This blog post is a summary of Johnson…
Demonstration of Haralick features applied to VRTP magnetics grid of Australia.
Blog | 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.…

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