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    MinersAI APAC expansion: exploration data workflows and value for project teams

    May 21, 2026|

    Reviewed by Joe Ashwell

    MinersAI APAC expansion: exploration data workflows and value for project teams

    First reported on International Mining – News

    30 Second Briefing

    Exploration-focused AI platform MinersAI is expanding into the Asia-Pacific region with a new headquarters in Perth, Western Australia, targeting one of the world’s most active mining innovation hubs. The company, which positions itself as a computational discovery partner for the global resources sector, has appointed Leon Morgan as Global Chief Revenue Officer to drive commercial growth from the Perth base. For exploration teams, the move signals increased local access to AI-driven target generation and data-integration services across Australian and broader APAC projects.

    Technical Brief

    • MinersAI describes its core offering as “computational discovery” for mineral systems rather than generic data analytics.
    • The APAC expansion is framed around supporting global resources clients already operating multi-continent exploration portfolios.
    • MinersAI’s service model is pitched as a partner to in-house geoscience teams, not a replacement.
    • The company is targeting integration with existing exploration workflows, implying use alongside conventional geological, geophysical and geochemical datasets.

    Our Take

    AI and artificial intelligence appear in over 1,700 keyword-matched pieces in our database, but very few are exploration-specific platforms like MinersAI, suggesting this Perth-based move into Asia-Pacific is entering a relatively uncluttered niche compared with AI in operations or maintenance.

    International Mining’s recurring role across unrelated items in our coverage, from Boliden’s European green fleets to the World Mining Congress 2026, indicates that MinersAI’s association with this outlet will likely give it visibility with senior decision-makers beyond Australia as it scales in APAC.

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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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