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.
Shorten diagnostic time and prioritize repairs to support sustained readiness and ensure the safety of your troops.
Prevent unplanned downtime and costly damage to turbine components.
Oil & Gas
Proactively identify impending issues on critical components to prioritize and plan maintenance.
Avoid in-service engine failures and plan for long-term component management.
Keep your fleet availability at target levels while improving operational efficiency.
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.