Finding new mineral deposits reliably is notoriously hard and expensive. Industry analysis has demonstrated a less than 0.5% chance of finding ore deposits if searching in traditional ways.  This innovative AI-driven platform uses pattern recognition algorithms and smart models applied to known assay results to identify areas of high probability mineral deposits. The solution supports your geologists and analysts in narrowing the search zone using our leading AI technology engines.

Whilst there are undoubtedly huge mineral deposits all over the world to be discovered, finding them is notoriously difficult, unreliable and expensive. The easy mines have largely been discovered and the remaining ones are typically hidden or covered by overburden. Many junior and midsized miners lack the financial strength to invest in full mine development and are left to sell to the major players.  As an industry, research from MinEx Consulting in 2015 showed that the overall historical cost of mining exploration was 150% of the value extracted, notwithstanding the environmental impact of unsuccessful test mines.  The billion-dollar challenge for mining exploration teams is how to improve the probability of finding new deposits from the industry average of 0.5%. One way is to search nearer existing mines, but the use of advanced technology can also help further improve, when used with pattern matching to build models from historical test mine data.

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This proven and innovative AI-driven platform uses pattern recognition algorithms and smart models applied to known assay results to identify areas of high probability mineral deposits. It’s been successfully used in over 80 mining projects and has a simple return on investment model. The approach is entirely data-driven, and is intended to support the expertise of the geologists.  There are four stages to using the platform: data gathering, model setup, prediction and presentation and the intuitive interface allows for swift and efficient outputs. The prebuilt models are suitable for predicting deposits of many metals and minerals including gold, diamond, nickel, copper, zinc, silver, palladium.

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