We collect and combine a wide range of geospatial data, including:
This creates a detailed, multi-layered representation of surface characteristics and geological context
Our proprietary models use supervised and unsupervised machine learning to extract high-value insights from fused geospatial data:
The result: precise refined mineral targeting and a complete ESG risk landscape, before any fieldwork begins.
All outputs are designed for direct use by geologists, exploration teams, and ESG professionals:
Delivered in 2 to 4 weeks, depending on surface size and project scope.
We collect and combine a wide range of geospatial data, including:
This creates a detailed, multi-layered representation of surface characteristics and geological context
Our proprietary models use supervised and unsupervised machine learning to extract high-value insights from fused geospatial data:
The result: precise refined mineral targeting and a complete ESG risk landscape, before any fieldwork begins.
All outputs are designed for direct use by geologists, exploration teams, and ESG professionals:
Delivered in 2 to 4 weeks, depending on surface size and project scope.