Fragmented inputs
Teams stitch together GIS layers, spreadsheets, and one-off datasets before assets can even be compared.
Compare mining assets using a consistent framework across water, infrastructure, jurisdiction, and environmental context.
Start from a global asset base and apply the same screening logic to your internal pipelines. Eliminate manual GIS setup and focus on evaluating assets, not preparing data.
The problem
Early-stage asset evaluation sits upstream of billions in exploration, capex, and M&A — yet teams still assemble location analysis manually.
GIS layers, spreadsheets, and one-off datasets are stitched together before assets can even be compared.
Teams stitch together GIS layers, spreadsheets, and one-off datasets before assets can even be compared.
Water, infrastructure, jurisdiction, and environmental context are reviewed with different assumptions asset by asset.
The same first-pass screening work is repeated across teams, often costing £700–£3,500 per asset before deeper diligence even starts.
Key capabilities
Start from a prepared global asset base, screen constraints consistently, and export structured outputs for shortlisting and downstream workflows.
30,000+ assets ready to screen

Water, infrastructure, jurisdiction, and environmental context

Export results for shortlisting and downstream workflows

Private assets
Bring project pipelines, supplier locations, and deal flow into the same framework without mixing private data into the shared dataset.

Screen internal pipelines against the same prepared location context.
Bring counterparties, supplier locations, and live deal flow into one screening framework.
Private records remain segregated from the shared dataset and other customer environments.
Use the same fields and export structure across public and internal screening.
Use cases
Pipeline prioritisation and jurisdiction comparison.
Deal-flow triage and early-stage diligence.
Supply-side opportunity screening.
Upstream exposure and supplier screening.
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