Micromine Pitram double gold: control and fleet lessons for mine engineers
Reviewed by Joe Ashwell
First reported on International Mining – News
30 Second Briefing
Micromine’s Pitram mine control and fleet management platform has taken two major awards, winning Underground Excellence for its deployment at Çayeli Bakır’s Turkish copper-zinc operation and Digital Transformation for its work with Rana Gruber’s iron ore mines in Norway. At Çayeli Bakır, Pitram is being used to coordinate underground production and development activities in real time, while at Rana Gruber it underpins a site-wide digitalisation push integrating production data, equipment telemetry and reporting. Both projects report quantifiable gains in operational performance and decision-making speed.
Technical Brief
- Pitram deployment at Çayeli Bakır was recognised specifically for underground operational excellence, not generic digitalisation.
- Rana Gruber project was awarded in a separate Digital Transformation category, indicating broader site-wide scope.
- Separate business challenges at each site suggest configurable workflows rather than a single fixed implementation template.
Our Take
Micromine and Pitram feature repeatedly in our mining software coverage, and the 2026 Half-Year Release item (11 June 2026) shows the company pushing integrated geology-to-fleet platforms, which likely underpins why operations such as Çayeli Bakır and Rana Gruber are benchmarking Pitram’s performance at awards level.
The Weir Group–Fast2Mine acquisition piece (30 November 2025) places Pitram in an increasingly crowded fleet and maintenance management ecosystem, suggesting Micromine’s recognition at Çayeli Bakır and Rana Gruber will be strategically important for defending share against OEM-linked platforms in both Türkiye and Norway.
Across the 1,276 mining stories in our database, Micromine appears more often in software and optimisation contexts than most peer vendors, signalling that deployments at sites like Çayeli Bakır and Rana Gruber are being watched as reference cases for digital mine control in mid-tier operations.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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