Mining software for exploration, design, planning, and production control
Micromine is a 38-year-old mining software company with solutions deployed across 3,000+ projects at 120+ mine sites. The tech stack—C#, TypeScript, React, AWS, Azure, plus ML libraries (PyTorch, scikit-learn)—reflects both legacy desktop application maturity and emerging real-time analytics capabilities. Active hiring is sales-driven (9 open roles) alongside engineering (8), with accelerating velocity across geographies; paired with projects around fleet management, real-time operational decision-making, and proof-of-concept model builds, this signals a push toward production-scale automation and predictive features.
Micromine develops integrated software for the mining lifecycle: geological exploration, resource estimation, mine design, planning, and production control. The platform serves mine operators globally, with customers in Australia, South Africa, Chile, Kazakhstan, Brazil, Canada, and the United States. Products include Geobank (data management), flagship geological modelling and mine design tools, Pitram (fleet management), and the newer Micromine Nexus. The company operates a support and professional-services model with local expertise across regions, addressing pain points like fragmented legacy systems, manual workflows, and underground planning complexity.
C#, TypeScript, JavaScript, React, AWS, Azure, Oracle, plus ML libraries (PyTorch, NumPy, Pandas, scikit-learn). Testing via TestComplete, Selenium, Playwright, Cypress. Analytics via Power BI.
25 active roles across 7 countries: Australia, Chile, South Africa, Kazakhstan, Brazil, Canada, United States. Sales (9), engineering (8), product (3), support (3) leading demand with accelerating velocity.
Fleet management and production systems, real-time operational decision-making, the Micromine Nexus product line, proof-of-concept ML model builds, and beta testing. West Africa market expansion also underway.
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Micromine's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.