Dingo
SF 8.1Asset health for mining equipment
Asset health for mining equipment
Enterprise EAM platform from Hexagon
Quick decision guide
Overview
DINGO is a predictive maintenance and asset-health platform for mining and other asset-intensive industries, centered on its Trakka software and Condition Intelligence services. Trakka consolidates equipment-condition data, applies predictive analytics, identifies developing problems, recommends maintenance actions, and tracks issues through resolution.
DINGO is particularly relevant to mining and heavy-equipment operators that want condition monitoring converted into prioritized maintenance actions and tracked through resolution instead of receiving isolated equipment-health alerts.
HxGN EAM is Hexagon’s enterprise asset management platform for asset-intensive organizations, covering asset lifecycle management, maintenance execution, materials and procurement, inspections, reliability, risk, asset performance, and long-term investment planning.
HxGN EAM is most relevant to large or operationally complex organizations that need maintenance execution and materials management alongside reliability engineering, multi-organization governance, asset performance management, and longer-term capital planning.
Side-by-side
Feature check
Use cases
The trade-offs
Final verdict
Current catalog data shows meaningful overlap between Dingo and Hexagon HxGN EAM. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.
Dingo has 4 visible decision signals and Hexagon HxGN EAM has 4.
Hexagon HxGN EAM has the higher SoftFinders Score in the current catalog data.