MINE MAINTENANCE and the outcomes they are seeking,” Laxell said.“ We will then see what sort of service agreement we can offer them.”
Just how much of a role Metso is willing to take on with these types of“ as a service” contracts is based on the customer itself, the various parts of the process that is within Metso’ s control( ie that is digitally connected and accessed remotely), the types of equipment within the flowsheet( read: Metso-owned equipment) and the service personnel that are available in that region.
The reason why Metso is starting in South America and with crushers and pumps is down to the company’ s extensive crushing and screening history, the number of large mineral processing plants in the region, the criticality of pumps across the flowsheet and the service support Metso has in the continent.
“ In South America the local expertise enables these types of partnerships,” Laxell said.“ Then, as Metso, we are extremely
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Metso’ s new, scalable LCS approach reflects the shift toward outcome-based partnerships and performance-driven business models, while addressing customers’ different levels of support requirements, the company says strong in the crushing and screening segment of the flowsheet, with numerous customer references to back this up.
“ With pumps, which appear across the entire process plant in many critical positions such as mill discharge applications, offering customers the possibility to‘ offload’ pumps availability to us is seen as a key enabler for higher productivity.”
Beyond this initial offering – which is already in action in Brazil and India for Crushing as a Service – the company is looking to follow its recently launched‘ We go beyond’ strategy to 2030, with expansions of these performance-based contracts. The offering can also expand into other parts of the world.
“ These types of offerings are more of a partnership, so we are encouraging mining operators to come to us with their problems
Dingo, TRAKKA on the maintenance move
In mid-2025, Dingo Software’ s mission to revolutionise asset health maintenance and reliability was given a boost when The Riverside Company, a global private investment firm, acquired a majority stake in the business.
Since its founding in 1991, Dingo has set out to become a leading predictive maintenance partner for mining operators, helping reduce major component failures, improve equipment reliability, boost production and lower maintenance costs. Its software platform, TRAKKA ®, and complementary support services, deliver measurable value to a global portfolio of industrial customers operating in some of the world’ s most remote and demanding environments, it says.
The investment in the company was seen as accelerating its goals, helping Dingo fasttrack investments in AI, among other things.
Craig Banks, COO of Dingo, said the Riverside investment helped position the company to“ scale rapidly into more autonomous maintenance decision making and predictive analytics”.
IM asked Tom Mulherin, Senior Product Manager at Dingo, to further elaborate on this automation angle.
“ Dingo’ s autonomous maintenance decision-making processes are focused on shortening the cycle time for converting asset health data into maintenance recommendations,” he said.“ Being able to shorten the decision loop allows users to focus more time on higher value-added work, such as advising on maintenance strategy or assisting with Dingo’ s proprietary component life extension program.”
As part of this pursuit, Dingo is using the unique databases that are under TRAKKA – which contains 30 years of history for asset health data and the associated recommended maintenance actions when potential fault effects arise – to train Large Language Models( LLMs) with applied additional context from its condition intelligence analysts to accurately automate the decision-making process. This process was previously carried out by users and TRAKKA’ s rules engine, at a roughly 30 / 70 average split, according to Mulherin.
LLMs are becoming much more common in the mining space as the industry looks to make the most of advances in AI-based decision making, but Dingo is looking to standout in this realm by enriching these models with additional context around understanding priorities of the“ dominant fault effect” when there are multiple correct
International Mining | JANUARY 2026