About us
Stormlands was founded to help mining companies and investors make better decisions from exploration through evaluation. We combine QA/QC, exploration intelligence and valuation intelligence into one connected framework, using data discipline and explainable AI to support smarter capital allocation
know moreQA / QC
AI-powered Exploration QA/QC turns fragmented exploration data into trusted, model-ready datasets faster, generating smarter drilling targets with confidence
Exploration
AI-native exploration data platform that enables exploration teams to generate better drilling targets faster with explainable AI
Stormlands valuation analytics
Nett Smelter Return
Nett Smelter Return
Nett Smelter Return
Nett Smelter Return Change
Nett Smelter Return Change
Nett Smelter Return Change
Nett Smelter Return
Nett Smelter Return Index
Values
Integrity
Stormlands stands for an honest, trustworthy and reliable set of personal ethics and professional standards while delivering services in open and transparent manner.Efficiency
Stormlands endeavours to consistently drive efficiencies and process improvements while striving to maximise value.Innovation
Stormlands facilitates and actively supports a research-driven approach to innovation with a focus on achieving commercial results.Sustainability
Stormlands are full participants in the UN Global Compact and are Ambassadors for The Sustainable Procurement Pledge. This is a voluntary initiative based on our CEO’s commitments to implement universal sustainability principles and to take steps to support UN goals.
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Cerro Caliche Gold Project case study published
Stormlands Mining publishes Cerro Caliche Gold Project case study showing modelled NPV more than doubling
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Kandiolé Gold Project case study published
Stormlands Mining publishes Kandiolé Gold Project case study showing modelled NPV increasing to US$1.11 billion
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Stormlands Mining publishes Sandman Gold Project case study
Stormlands Mining publishes Sandman Gold Project case study showing modelled NPV increasing to US$667 million
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