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Co-funded by the

European Union

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Energy for circular economy

AI for sustainable minerals exploration

Web GIS powered with AI for the exploration of critical minerals

Pilot
Sustainable developement goals:

Web GIS powered with AI for the exploration of critical minerals

Beholder has developed an AI for the quick, precise and sustainable exploration of critical mineral deposits, enabling geological research to be upscaled. This state of the art neural network combines 49 data inputs over 200 models to make efficient predictions of mineral deposits with an up to 96% accuracy rate.

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The need

By 2050, some 3 billion electric vehicles will require trillions of batteries, and the critical minerals market will be worth some 12 trillion dollars. However, exploration of minerals takes 20 times more effort than it did 30 years ago, with only 2% of prospects becoming a mine.

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The solution

Beholder has developed an AI for the quick, precise and sustainable exploration of critical mineral deposits, enabling geological research to be upscaled. This state of the art neural network combines 49 data inputs over 200 models to make efficient predictions of mineral deposits with an up to 96% accuracy rate.

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The value proposition

  • Mining companies receive access to geological insights with a pricing model based on the size of the project.
  • Investors and banks receive risk clarification and an efficient assessment before a decision is made. Prices are based on project schedule and loan duration.

Commercialised by

Beholder
Kesklinna linnaosa, Ahtri 12 10151 Tallin, Harju maakond, Estonia
https://beholder.earth/
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