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.
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.
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.