AI-Driven Insights for Smarter Mineral Discovery

At AI-Metals, we combine advanced geoscience with cutting-edge artificial intelligence to help exploration teams understand the subsurface faster, cheaper, and with greater confidence. Our platform ingests diverse geological datasets, learns from past discoveries, and highlights the zones most worth investigating next.

Exploration data is scattered, technical, and difficult to interpret in isolation.

Our system brings everything together:

• Geophysics — VTEM, IP, magnetic, gravity
• Geochemistry — soil sampling, drill assays, alteration maps
• Geology — lithology, structures, stratigraphy
• Remote Sensing — hyperspectral, DEMs
• Topography & Terrain Models
• Historical exploration records

This unified data foundation is the engine behind our AI recommendations.

We apply machine learning and spatial analytics to identify patterns in mineral systems — even when the data is sparse or incomplete.

Our models learn from the interaction between:

• subsurface structures and signatures
• geochemical anomalies
• electromagnetic and conductivity signals
• geological setting

The result: a data-driven understanding of where mineralisation is most likely to occur.