The mining industry drills narrow holes in the ground called drillholes to identify how much gold is in a ground at any spot. These holes are expensive so the industry uses statistical interpolation to predict what's in between these holes. Stratum replaces these traditional methods by utilizing deep learning to better predict both where to best drill and how much gold is in between these holes. This technology is not limited to gold and has been demonstrated to work on other metals, including base metals like copper. Based on Stratum's current pilots, our technology is projected to create ~10M in annual value for the average mine.
Daniel has significant experience in machine learning from several AI companies including rMarkBio, Sysomos, and a BaAS in Machine Intelligence from the University of Toronto. He is now the cofounder of Stratum, which uses AI to maximize mine production through better geological interpretation. I'm lucky enough to be born at the dawn of the next industrial revolution and my single objective in life is to bring AI into every walk of life from the mine on the tundra to the corn field of Iowa.
I'm a hardware engineer on paper, a quantum computing and ML engineer in practice, and a student of geology and mining. In pursuing my goal of finding elegant solutions to tough problems, I've worked in the tissue engineering, photonics, retail and telecom fields. My experiences are as straightforward as my hair.