Pre-due-diligence screening for mining assets
Screen global mine and asset locations against water, infrastructure, and jurisdiction context, then apply the same logic to private asset lists.
Built to reduce fragmented GIS work and support faster, more consistent screening across investment, strategy, and supply chain workflows.
Illustrative screening signals shown for presentation only.
The problem
Large capital decisions still start with fragmented location screening
Early-stage screening sits upstream of ~US$12-13bn in annual exploration spend, ~US$100bn in mining capex, and hundreds of M&A transactions each year. Yet first-pass location analysis is still often assembled manually.
Location-fixed constraints such as water availability, infrastructure access, permitting complexity, and jurisdiction context are easier to identify early than to fix later. But they are rarely evaluated in a consistent way.
Common challenges
Common location constraints
Commercial value
Reduce screening effort and widen coverage per team
Teams screening dozens to hundreds of assets per year can spend tens to hundreds of thousands annually on fragmented workflows.
The platform is designed to reduce preparation time, standardise outputs, and improve first-pass screening consistency.
Current workflow
~90% of geospatial analytics time is spent preparing data rather than analysing it.
With the platform
Start from a prepared screening base and focus on comparing assets.
Current workflow
Screening is rebuilt asset by asset and team by team.
With the platform
Use a repeatable first-pass workflow across all assets.
Current workflow
Public datasets and internal asset lists are evaluated separately.
With the platform
Apply the same screening logic across global datasets and private pipelines.
The platform
A unified workflow for first-pass asset screening
Start from a global dataset, enrich assets with consistent location intelligence, apply the same methodology to private lists, and export structured outputs for downstream workflows.
Private assets
Apply the same screening logic to your internal data
Bring project pipelines, supplier locations, and deal flow into the same framework without mixing private data into the shared dataset.
Use cases




