Information Density: DINGO – Signal Evidence & AI Readability

[H1] Equipment Maintenance Software for Predictive Asset Reliability

[H4] Award-winning Enterprise Predictive Maintenance Software solutions for the Mining industry,
[H4] that help reduce major component failures, improve the reliability of assets and safely boost production while decreasing maintenance costs.

Launch the Asset Health Maturity Survey

[H2] Control Your Assets. Control Your Profits.

[H6] The profitability of your operation is significantly impacted by the availability and health of essential physical assets.
DINGO, the global leader in Predictive Maintenance, unites people and award-winning technology to provide actionable intelligence to asset-intensive industries.
Optimize planning
Minimize downtime and repair costs
Create a safer workplace
Maximize asset health
Deliver superior financial results

[IMG: Trakka software]

[H4] Trakka Software

[H4] Asset Health Management App

[H4] Condition Intelligence

[IMG: Service]

[H4] Savings Calculator

[H4] 0.5%
average AISC improvement across commodities

[H4] 30+ years
of mining asset health data, ready to train AI

[H4] $1 B+
savings in maintenance and equipment costs

[H4] $14 B+
equipment under management

[H3] We Keep Your Assets Healthy and Operations Running Smoothly

[IMG: Truck]

Equipment failure does not happen on a schedule. Without an effective asset maintenance program that lets you predict and stop costly breakdowns before they occur, you risk facing:
Unmet production goals,
Unplanned downtime,
Avoidable safety incidents,
Unnecessary maintenance and capital expenditures,
Lower profitability.

Find Out How DINGO Can Help

[H4] Predict Today. Perform Tomorrow.

[H6] Optimize your maintenance department today and build a successful strategy for tomorrow by implementing DINGO’s industry-leading Asset Health program.
Trakka® – our award-winning predictive analytics and workflow management tool, collects, analyzes and distills equipment data to the exact actions that drive results.
Stop looking for issues and start solving them with Trakka®.
Learn About Trakka

[H3] Sustainable Fleet Maintenance Solution Built for Every Level of Your Organization

[IMG: Financial Impact]

[H4] Corporate Management

View the state of your fleet’s health in real-time.
Optimize return on your assets while measuring the improved financial results.
Drive maintenance costs down to reduce AISC, improving site and enterprise profitability.
Upskill your workforce and scale disciplined maintenance processes.
Increase your teams’ capacity and build collaboration among teams and sites.

[IMG: General Management]

[H4] General Management

Maximize the availability of key assets to achieve site production goals.
Integrate with your existing systems and access all data in one place.
Make decisions faster while empowering accountability.
Establish proven processes that can be scaled to various asset groups at your site and other operations.

[IMG: Financial Impact]

[H4] Maintenance & Reliability

Quickly achieve Condition-Based Maintenance and reduce unnecessary work orders.
Leverage DINGO’s Data Science team to accurately predict time until component failure.
Seamlessly integrate into maintenance workflows with recommendations flowing directly into your ERP and CMMS.
Automatically track KPIs to demonstrate the value of your team’s predictive maintenance program.

Connect With an Asset Health Expert

[IMG: engineer icon]

[H4] Quickly bring components back into normal operating range

Condition-based asset management is key to keeping our fleet availability at target levels while ensuring we are running at the lowest operating cost per hour.

Maintenance Manager at a large Canadian copper mine

[IMG: Businessman]

[H4] Accelerate the adoption of consistent maintenance strategies

By utilizing the Dingo Trakka® system , our company will streamline and standardize its predictive maintenance processes, tools and services worldwide.

Senior Director Operations Support Hubs for a leading gold mining company

[H2]
[H2]
[H2]
[H4]
[H2]  Join the leading companies in the Mining Industry,
[H4] in optimizing asset performance and achieving operational excellence.

[IMG: Mining]

[H4] Mining
Keep your fleet availability at target levels while improving operational efficiency.

[IMG: Anglo American]

[IMG: Nevada Gold Mines]

[IMG: Newmont]

[IMG: Infigen]

[IMG: Socotec]

[IMG: Teck]

[IMG: Barrick]

[IMG: Coeur Mining]

[IMG: Rio Tinto]

[IMG: Glencore]

[H2] DINGO’s Enterprise-Level Asset HealthSolution Saved One Major Gold MinerOver $83 Million over 15+ years.

Contact Our Experts for More

[IMG: Why Most Mining Maintenance Teams Are Drowning in Data and Acting on None of It]

[H4]
Why Most Mining Maintenance Teams Are Drowning in Data and Acting on None of It
InsightsKey takeaways Mining sites already collect huge amounts of condition monitoring data, but when events, alerts, and alarms all get treated the same way, the important warnings often disappear into the noise. Better alarm management improves operational efficiency by...
read more

[IMG: Riverside Acquires Dingo Software, Igniting the Future of Predictive Maintenance]

[H4]
Riverside Acquires Dingo Software, Igniting the Future of Predictive Maintenance
Company NewsDingo Software, a global leader in predictive maintenance solutions for the mining industry, today announced that The Riverside Company has acquired a majority stake in the business. The Riverside Company is a global private investment firm with a proven track record...
read more

[IMG: Why Most Mining Maintenance Teams Are Drowning in Data and Acting on None of It]

[H4]
Improving Maintenance Compliance: The Role of Human-in-the-Loop (HITL) AI in Mining
Insightshe most expensive problem in mining isn't a mechanical failure, it’s the Compliance Gap. Industry-wide, even when predictive software is "correct," a staggering percentage of alerts never result in a completed repair. Why? Because in a high-stakes environment, "The...
read more

[H6] Resources
[H1] insights

[IMG: Why Most Mining Maintenance Teams Are Drowning in Data and Acting on None of It]

[H4]
Why Most Mining Maintenance Teams Are Drowning in Data and Acting on None of It
InsightsKey takeaways Mining sites already collect huge amounts of condition monitoring data, but when events, alerts, and alarms all get treated the same way, the important warnings often disappear into the noise. Better alarm management improves operational efficiency by...
read more

[IMG: Improving Maintenance Compliance: The Role of Human-in-the-Loop (HITL) AI in Mining]

[H4]
Improving Maintenance Compliance: The Role of Human-in-the-Loop (HITL) AI in Mining
Insightshe most expensive problem in mining isn't a mechanical failure, it’s the Compliance Gap. Industry-wide, even when predictive software is "correct," a staggering percentage of alerts never result in a completed repair. Why? Because in a high-stakes environment, "The...
read more

[IMG: Integrating Predictive Maintenance Recommendations with CMMS: Closing the Action Gap]

[H4]
Integrating Predictive Maintenance Recommendations with CMMS: Closing the Action Gap
InsightsIn the modern mine site, the hurdle isn't a lack of data; it’s the siloed data. We’ve all seen it: oil lab results in a PDF, telemetry alerts in a separate browser tab, and manual inspections on a clipboard. When data is fragmented, it creates a "Data-Rich,...
read more

[IMG: The Data Ancestry Gap: Why Generic Predictive Maintenance AI Increases Operational Risk]

[H4]
The Data Ancestry Gap: Why Generic Predictive Maintenance AI Increases Operational Risk
InsightsWhy Generic AI Fails on the Mine Site In the race to digitize the mine site, a new risk has emerged: The Tech Graveyard. It’s the place where shiny, expensive "Predictive AI" tools go to die after failing to deliver actual uptime. The primary cause? A lack of maturity...
read more

[IMG: How Mining Organizations Reduce Reactive Maintenance in Critical Equipment]

[H4]
How Mining Organizations Reduce Reactive Maintenance in Critical Equipment
InsightsWhat Is Reactive Maintenance in Mining? Reactive maintenance in mining refers to repairing equipment only after a failure occurs. This approach often leads to unplanned downtime, production losses, and higher maintenance costs. Many mining operations aim to reduce...
read more

[IMG: What Structured Reliability Looks Like in Practice in Mining Operations]

[H4]
What Structured Reliability Looks Like in Practice in Mining Operations
InsightsWhat Is Structured Reliability? Structured reliability in mining refers to a systematic approach to improving equipment performance and reducing unplanned downtime using engineering analysis, failure data, and condition monitoring. Instead of relying on reactive...
read more

[IMG: The Role of Predictive Insights in Asset Performance Management]

[H4]
The Role of Predictive Insights in Asset Performance Management
InsightsTLDR Mining companies rely on large fleets of critical equipment to maintain productivity and operational efficiency. Yet many asset-intensive industries still struggle with unplanned downtime, rising maintenance costs, and shortened asset lifespan. Asset lifecycle...
read more

[IMG: Why Maintenance Maturity Follows Reliability in Mining Operations]

[H4]
Why Maintenance Maturity Follows Reliability in Mining Operations
InsightsWhat Is Maintenance Maturity in Mining? In many mining sites, improving maintenance performance is often approached as a scheduling or process problem. In practice, maturity is an outcome of disciplined reliability work: you need to understand asset behavior and risk...
read more

[IMG: From Reactive Maintenance to Stability: How Structured Reliability Improves Maintenance Performance]

[H4]
From Reactive Maintenance to Stability: How Structured Reliability Improves Maintenance Performance
InsightsIntroduction  Maintenance leaders across mining operations often describe the same reality: constant firefighting, a maintenance backlog that never declines, and planned work repeatedly disrupted by equipment failures. When the idea of improving reliability is...
read more

[IMG: Request a calculation]
[H4] Tags
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intelligence
In the Press
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Mobile mining equipment.
Predictive AI vs Condition Intelligence.
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Technical Credibility Mining
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[H1] Contact DINGO

[H3] Thank you for your interest in DINGO.
[H6] Please fill out the below form & an appropriate member of our team will contact you shortly. Or, feel free to contact us directly at one of our global offices or info@dingo.com.

[H4] CORPORATE HEADQUARTERS / ASIA PACIFIC
16 Macgregor StreetWilston QLD 4051 Australia
+61 7 3115 9000info@dingo.com

[H4] NORTH AMERICA / EUROPE
US: DenverCanada: Vancouver & Montreal
+1 303 662 9103info@dingo.com

[H1] DINGO at a Glance

[H3] Experts in Predictive Maintenance and Condition Monitoring for Heavy Equipment
[H6] DINGO is the world leader in providing Predictive Maintenance solutions to asset-intensive industries, currently managing the health of over US $14 billion worth of heavy equipment.
DINGO unites people and proven technology to provide actionable intelligence to asset-intensive industries such as mining.
We leverage this unique blend of tools and expertise to convert customer data into powerful insights that improve the health of everything from trucks to turbines.
It’s a low-risk, easy-to-implement condition management system that improves productivity, profitability, and performance.
Explore Our Solutions

[IMG: Trakka software]

[H4] Trakka Software

[H4] Asset Health Management App

[H4] Condition Intelligence

[IMG: Industrial Case Study]

[H3] Proven Results Backed by more than 30 Years of Real-World Experience
We unite deep maintenance expertise with industry-leading technology to help mining, energy, and rail companies implement predictive maintenance programs that deliver real-world results.
By continuously improving the health and performance of equipment, DINGO’s solutions drive increased availability, extended component life, and reduced operating costs, with an average 3:1 ROI and typical payback in 6 months or less.
Based in Brisbane, Australia we have offices in the United States and partners around the globe.
Backed by a 30-year track record of improving asset health and extending asset life at operations across the globe, DINGO’s real-world solutions have generated over US$1 billion in cost savings.
DINGO celebrates 30 Years

[H3] TRAKKA
[H6] The Engine of Our Solution
Trakka®, a powerful predictive maintenance software, is designed to analyze the full spectrum of condition monitoring data. Its proprietary predictive analytics and global equipment database provide the insights and decision-support to keep equipment operating in peak condition.
For operations that need additional expertise, DINGO’s team of Condition Intelligence experts average over 30 years of maintenance experience and manage the condition of over 170,000 vital components daily.
Request a Demo

[IMG: engineer icon]

[H4] Quickly bring components back into normal operating range

Condition-based asset management is key to keeping our fleet availability at target levels while ensuring we are running at the lowest operating cost per hour.

Maintenance Manager at a large Canadian copper mine

[IMG: Businessman]

[H4] Accelerate the adoption of consistent maintenance strategies

By utilizing the DINGO Trakka® system , our company will streamline and standardize its predictive maintenance processes, tools and services worldwide.

Senior Director Operations Support Hubs for a leading gold mining company

[H2] See How DINGO Can ReduceYour Maintenance Cost by Millions

Request a Personalized Savings Calculation