Early-stage exploration

2D Prospectivity Analysis

A data-driven approach to regional target generation

A machine learning approach that integrates geochemical, geophysical, geological, and structural datasets into a single interpreted map, ranking exploration targets across a region by their likelihood of hosting mineralisation.  

Ideal for companies that need to objectively screen large areas, narrow the search space, and make defensible targeting decisions without relying on manual interpretation alone. Delivers a clear, auditable output that supports both technical decision-making and investor communication. 

Benefits:  

• Screen large areas more efficiently 
• Integrate multiple data layers into one targeting model 
• Rank targets by mineralisation potential 
• Support technical decisions with auditable outputs 

Specialist Consulting Services

1. Geoscience Data Integration & Targeting

   Bring together available geological, geochemical and spatial datasets into a more coherent targeting framework. This helps create a clearer picture of regional prospectivity and supports better target prioritisation.

2. Geophysical Data Preparation & Targeting

   Process and interpret geophysical datasets to identify structural controls, anomalies and priority zones that support regional targeting and exploration planning.

3. Geophysical & Spectral Domain Mapping

   Use geophysical and remote sensing data to define lithological, structural and alteration patterns across large areas, especially where surface exposure is limited.

4. Soil Geochemistry Targeting

   Identify geochemical anomalies in soil datasets that may indicate buried or covered mineralisation and help guide follow-up exploration.

5. Stream Sediment Geochemistry Targeting

   Use stream sediment datasets to highlight broader geochemical trends and prioritise areas for further investigation across regional programs.

6. Spectral Domain Mapping

   Apply remote sensing and spectral analysis to map alteration and lithology quickly and cost-effectively across large land packages.

7. Predictive Bedrock Mapping

   Model the underlying geology beneath cover to improve targeting in areas where bedrock is not well exposed at surface.

8. Whole Rock Geochemistry Targeting

   Analyse whole rock geochemical datasets to characterise lithology, identify alteration signatures and refine targeting at the prospect or deposit scale.