Once exploration data has been validated and standardised through the Stormlands QA/QC layer, Exploration Intelligence analyses geological, geochemical, geophysical, drilling and assay data to identify patterns associated with mineralisation.

Machine learning models evaluate multiple datasets simultaneously, generating and ranking exploration targets based on their geological potential. Rather than replacing geological expertise, the platform provides an additional layer of evidence that supports technical interpretation and decision making.

The result is a repeatable, transparent process for identifying the most promising opportunities across exploration portfolios.

Exploration programmes generate increasing volumes of data, but turning that information into drilling decisions remains time consuming and resource intensive.

Stormlands automates much of the analytical workflow, allowing exploration teams to evaluate more targets, compare opportunities consistently and focus technical expertise where it delivers the greatest value.

The result is faster target generation, improved prioritisation and more efficient exploration programmes.

Exploration Intelligence is the second intelligence layer within the Stormlands platform.

Exploration Data QA/QC creates trusted, standardised datasets from geological, drilling and assay information. Exploration Intelligence transforms those datasets into ranked drill targets using artificial intelligence and machine learning. The resulting discoveries then flow into Valuation Intelligence, where project-specific economic models quantify the potential value of each opportunity and support investment and development decisions.

Together, the three intelligence layers create a continuous workflow—from trusted data, to exploration decisions, to economic value.