Skip to main content

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

Applied Science

The journey to (fully) quantifying chip photography

Created by Mark Grujic and Rian Dutch.    Recap   Welcome back to our series…
Machine Learning

Turning raw core photos into analytics-ready quantitative data

  Created by Brenton Crawford, Mark Grujic and Harvey Nguyen.   The problem with unstructured…
Applied Science

The journey to quantifying chip photography: Particle statistics

Created by Mark Grujic and Rian Dutch.    Welcome back to our series on drill…

Looking for the Datarock Platform?