We are a deep-tech company focused
on improving decision-making in
production-mines through
data-driven models

Our Story

For many years, the mining industry has struggled to fully leverage data to drive meaningful operational and economic outcomes. Stratum AI was created to change that by applying advanced data-driven models where they matter most: during the production phase of a mine.
We combine deep expertise in geology and machine learning to support better decision-making in production-mines, from early production through brownfield expansion.
Our focus is on improving model quality, alignment between plan and production, and overall value realization from existing data.

Stratum AI is a global organization headquartered in Toronto, Canada, with teams across North America, Latin America, and Australia.

Our Mission

Our mission at Stratum AI is to help production-mines make better decisions by applying machine learning to existing geological and operational data. Mining generates vast amounts of data throughout its lifecycle, yet much of its value remains underutilized during production and expansion. Stratum AI SAIGE technology is designed to support critical decisions across resource, geometallurgical, and geotechnical models, improving alignment between planning and execution. Our goal is to help mining teams extract more value from the data they already have, throughout the life of a mine.

Our Global Experience

Our technology goes beyond grade. It can model mineral characteristics such as hardness, fines generation, and other processing-related parameters.

18 Mines
10 Countries
Where do we create value?
BROWNFIELD
EXPLORATION
+ More confidence in brownfield exploration

Quickly updates models in expansion áreas

- Less drilling costs by optimizing drillhole spacing
RESOURCE MODELING
AND GRADE CONTROL
+ More accuracy in defining ore/waste boundaries

+ Better prediction of tonnage and grades

- Fever deviations between plan and production
GEOMETALLURGICAL
MODELING
Predicts recovery, hardness, and other key parameters

Connects plant performance with mining production data

Optimizes feed blending strategies
GEOTECHNICAL MODELING AND OPERATIONAL RISK
Improves surface geotechnical characterization

Identifies high-risk zones before instabilities occur

Integrates geotechnical drilling data, monitoring sensors, and bench mapping through photogrammetry