Co-funded by the
European Union
AI for sustainable minerals exploration
Web GIS powered with AI for the exploration of critical minerals
Pilot
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.
The need
By 2050, some 3 billion electric vehicles will require trillions of batteries and the market for critical minerals to produce them is set to reach 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.
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.
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.
