Industrial Predictive Maintenance Management for Asset-Intensive Industries

DINGO partners with many of the world's leading companies in asset-intensive industries to improve the health and life of the equipment that is the heart of their operations. We currently manage $7 billion worth of assets in our system and have saved customers over $300 million by helping them implement a systematic approach for managing the condition of these assets.

Predictive Maintenance Solutions for Mining Operations

DINGO Mining is rapidly becoming the standard for Condition Management of mining equipment around the world. We have built the world's largest fleet health benchmarking information database in Trakka and are using the power of this information to improve operational performance in mines around the globe.  learn more

Predictive Maintenance for Wind Turbines

We monitor wind turbine health data for the top renewable energy companies to prevent unplanned failures and maximize productivity. By leveraging a rules-based predictive analytics engine and a proprietary global health database, we have the power to improve the health and performance of your entire fleet. learn more

Oil & Gas Equipment Maintenance

A number of the world’s leading oil & gas companies have partnered with DINGO to manage the condition of remote equipment. These customers use Trakka to provide the information needed to maintain capital assets, resulting in increased asset availability, reduced maintenance costs, and increased asset life. learn more

Intelligent Train Maintenance

DINGO helps identify and stop locomotive component damage before breakdowns occur with Trakka, our proprietary condition-based maintenance software. Our team currently monitors thousands of rail components across Europe. learn more