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AI that tells mining companies where to mine to maximize profits
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.
Stratum AI applies AI-driven resource modeling to mining, aiming to improve decision-making across mining operations and optimize production and brownfield expansion. Their SAIGE technology supports geometallurgical and geotechnical modeling to enhance economic outcomes.
Uses AI-driven, multivariate geostatistical modeling (SAIGE technology) to model resource, grade control, geometallurgical, and geotechnical data. Parses high-density multivariate data to inform decisions in production and brownfield expansions, improving drill targeting and error correction, with results showing reductions in waste and deviations and increases in grade and production.
Who it’s for: Mining companies and operators seeking improved decision-making and economic outcomes across resource modeling, grade control, and geometallurgical planning.
Hiring/Careers listed; investor materials and press releases available, indicating some traction and external outreach
I live, love, breath AI. Background in machine intelligence @ UofT. AI founder of various stripes who's done a lot of enterprise sales last 5 years.
Formerly “StratumAI”, “Stratum Technologies”, “Stratum”
Predictive Explorer and Driller for Critical Metal Deposits
We Mine Asteroids
