Partners
AI for exploration and development of critical raw materials
The Challenge
The metals and mined mineral supply chain affects nearly all industry sectors as it supplies physical inputs necessary for the manufacture of countless goods and the delivery of most services. Mining companies need to allocate and utilize scarce resources and equipment as efficiently as possible to discover and develop new mineral resources, essential for the global energy transition. This requires a detailed geological understanding of mineral deposits at new sites that AI can support.
Yannai Segal, Chief Strategy Officer, Enersoft: “This project will bring together Calgary-based technology SME Enersoft, also known as GeologicAI, with four mining adopters in collaboration with relevant government agencies, to develop machine learning models that use new high-resolution multi-sensor rock scan data to allow for a faster, more precise, and more cost-effective analysis of core samples. The project also has the potential to create a significant number of jobs directly with additional upskilling opportunities.”
Investment
$1.6M
Scale AI investment
$7.1M
Total investment
“This project will bring together Calgary-based technology SME Enersoft, also known as GeologicAI, with four mining adopters in collaboration with relevant government agencies, to develop machine learning models that use new high-resolution multi-sensor rock scan data to allow for a faster, more precise, and more cost-effective analysis of core samples. The project also has the potential to create a significant number of jobs directly with additional upskilling opportunities.”
— Yannai Segal, Chief Strategy Officer, Enersoft
Made possible through the
financial support of
financial support of
