Mira Geoscience–HiveMap acquisition: integrated 3D mapping gains for mine engineers
Reviewed by Tom Sullivan
First reported on International Mining – News
30 Second Briefing
Mira Geoscience has acquired SRK Consulting (Canada) Inc’s HiveMap platform, a digital geological and geotechnical field mapping system designed for efficient collection, visualisation and interpretation of geoscientific data. HiveMap integrates directly with photogrammetry and LiDAR workflows, allowing structural, lithological and geotechnical observations to be tied to high-resolution 3D surfaces and point clouds. The acquisition signals tighter coupling between field mapping, 3D geomodelling and mine-scale geotechnical analysis within Mira’s existing integrated geoscience software suite.
Technical Brief
- Platform design targets integrated geological–geotechnical mapping, so structural and rock-mass observations share a single field schema.
- Data model supports concurrent capture of lithology, structure, alteration and geotechnical condition at each mapped location.
- Tight coupling with photogrammetry and LiDAR reduces manual geo-referencing effort for bench faces and underground walls.
- For mining projects, this enables more consistent mapping inputs to slope, stope and pillar design workflows.
Our Take
Among the 17 Software stories in our coverage, Canada-based tools like HiveMap and other geology platforms are increasingly being positioned as core project-development infrastructure rather than niche add-ons, which tends to lock them into long-life mine planning workflows.
SRK Consulting (Canada) Inc has typically appeared in our database on the advisory and technical services side, so divesting a product like HiveMap to Mira Geoscience suggests SRK is sharpening its focus on consulting while Mira consolidates as a specialist software owner-operator.
For Canadian projects tagged under ‘Projects’ and ‘Product’ in our database, the move of a mapping platform into a pure-play software house often precedes tighter integration with 3D modelling and data management suites, which can materially change how operators standardise geological interpretation across assets.
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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