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    Maptek acquires PETRA: integrated orebody intelligence workflow for mine planners

    March 5, 2026|

    Reviewed by Joe Ashwell

    Maptek acquires PETRA: integrated orebody intelligence workflow for mine planners

    First reported on International Mining – News

    30 Second Briefing

    Maptek has acquired PETRA in full, increasing its stake from 25% to 100% and bringing PETRA’s orebody learning and data fusion technology fully in‑house. The deal consolidates PETRA’s AI‑driven orebody intelligence tools with Maptek’s existing mine planning and design platforms such as Vulcan and Evolution, aiming to link block models, drill‑and‑blast, and production data in a single decision‑support workflow. For geologists and mining engineers, this signals tighter integration of real‑time data analytics with long‑term resource and scheduling models.

    Technical Brief

    • For other vendors, the move reinforces a trend towards vertically integrated geology‑to‑production decision‑support stacks.

    Our Take

    Within the 1626 AI- and artificial intelligence-tagged pieces in our database, Maptek is one of only a few established mining software vendors moving from minority stakes to full ownership of AI specialists, signalling a push to embed machine learning natively rather than via loose integrations.

    The shift from a 25% to 100% shareholding in PETRA after a partnership dating back to 2019 suggests Maptek has validated PETRA’s orebody intelligence tools at scale and now wants tighter control over data models and IP, which could influence how mine operators negotiate data access and licensing terms.

    Among the 2051 tag-matched Projects/Product stories, most AI offerings are still point solutions at the mine or plant level; Maptek’s consolidation of PETRA positions it to offer more end-to-end workflows from geological modelling through to production optimisation, which may pressure smaller niche AI vendors to align with larger platforms.

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    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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