Optimize Asset Health for Your Specific Industry

Proactively Make the Right Decisions at Every Level of Your Organization

With 30+ years of experience in collecting and analyzing equipment data across asset-intensive industries, our predictive maintenance solutions enable you to transform condition monitoring data into actionable knowledge that improves the predictability, productivity and performance of your fleets.
Defence

Defence

Shorten diagnostic time and prioritize repairs to support sustained readiness and ensure the safety of your troops.

Wind

Wind

Prevent unplanned downtime and costly damage to turbine components.

Oil and Gas

Oil & Gas

Proactively identify impending issues on critical components to prioritize and plan maintenance.

Rail

Rail

Avoid in-service engine failures and plan for long-term component management.

Mining

Mining

Keep your fleet availability at target levels while improving operational efficiency.

246 OPERATIONS ACROSS 6 CONTINENTS USE TRAKKA
TO MANAGE $13,500,000,000 OF EQUIPMENT

The Collective Power of Cross-Industry Experience

Big equipment failures can be extremely difficult to predict. When they happen, operations incur unplanned downtime, potential safety issues and costly repairs or replacements.

DINGO built the world’s largest database of mining equipment and components. We continuously collect and analyze data from different machines and components across industries to develop sophisticated benchmarks and models to predict and prevent failures in industrial assets.

Industrial Case Study

Get Actionable Insights to Achieve a Competitive Advantage Through the Power of Predictive Maintenance