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    CiDi HK Stock Exchange IPO: AHS deployment and R&D implications for mine planners

    December 11, 2025|

    Reviewed by Joe Ashwell

    CiDi HK Stock Exchange IPO: AHS deployment and R&D implications for mine planners

    First reported on International Mining – News

    30 Second Briefing

    Chinese autonomous haulage systems supplier CiDi has launched a Hong Kong Stock Exchange IPO to raise over US$180 million via the sale of up to 5.4 million shares, following a lapsed application earlier in 2024. The company provides autonomous driving stacks and AHS kits for large mine haul trucks and auxiliary fleets across Chinese open-pit operations, integrating perception, positioning and fleet management software. Fresh capital is likely to fund further R&D, large-scale mine deployments and potential overseas expansion, intensifying competition with OEM-integrated AHS offerings.

    Technical Brief

    • IPO structure involves up to 5.4 million shares listed on the Hong Kong Stock Exchange.
    • Second listing attempt follows a lapsed 2024 application, signalling renewed regulatory and investor engagement.

    Our Take

    With over US$180 million targeted in this Hong Kong Stock Exchange financing, CiDi is positioning itself among the larger capital raises in our recent mining equipment and autonomy coverage, which typically involve much smaller private rounds rather than public IPOs.

    A second IPO attempt in 2024 suggests regulators and investors in Hong Kong and mainland China are still working out how to price mining automation and AHS providers like CiDi, which can affect valuation benchmarks for other Chinese smart-mining and OEM players considering listings.

    In our 280 Mining stories, most China- and Hong Kong-linked financing items focus on upstream metals projects rather than mining technology vendors, so CiDi’s listing push signals that dedicated capital-market pathways for mine automation and product suppliers are starting to formalise in this region.

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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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