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Asset Intelligence

A tailored SaaS solution to meet mining asset maintenance challenges
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Mining
  • Mine & Extraction
  • Mineral Processing & Metal Refining
  • Material Handling
  • Utilities & Supporting Areas
  • Mine-to-Market Integration
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Does your equipment tell you when it needs maintenance?

Equipment reliability in mining is essential, but do you know how your machines are doing? Gain insight into machine health and plan your maintenance instead of responding to unexpected breakdowns with Asset Intelligence for Mining. 

Mining Maintenance by the Numbers
Infographic
Mining Maintenance by the Numbers

How can accurate data reduce costs?

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60% of total mine workforce can be almost exclusively focused on servicing or repairing complex assets in the field

McKinsey & Company


30-50% of a mine’s total operating cost is typically spent on maintenance

MININGDIGITAL.COM

$130K/h Downtime costs can quickly run into the $100k for every equipment failure incident

Boltstress.com.au

Access equipment data at any time.

Asset Intelligence is an advanced SaaS software, designed to offer comprehensive Asset Performance Management (APM) solutions, tailored to meet the needs of the mining industry.

It unifies fragmented data and transforms it into actionable insights, allowing a seamless, enterprise-wide monitoring of asset health and performance.

By leveraging pre-configured models for pivotal mining assets like ball mills, belt conveyors, and pumps, it provides a robust framework for enhancing asset reliability, predicting failures, and optimizing performance.

  • Optimize maintenance: Enable precise scheduling during planned downtimes to enhance maintenance efficiency.
  • Enhance equipment availability: Secure increased reliability and availability of essential equipment.
  • Minimize unplanned downtime: Reduce disruptions through predictive insight.

Reduce downtime

Decrease operating costs

Increase in asset efficiency

Increase in labor productivity

Reliability requires actionable data

Looking to learn more about asset management and data challenges? Read our blogs.

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