Dingo

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.

1. Asset health workflow: Trakka combines data from sources including onboard sensors, machine operating data, oil and fluid analysis, vibration, thermography, visual inspections, ERP work history, and other condition-monitoring systems. Identified issues can then be prioritized, assigned corrective actions, and followed from detection through resolution.
2. Predictive intelligence: proprietary analytics and machine-learning models help detect abnormal equipment behavior and emerging failure risks. DINGO combines these models with Condition Intelligence specialists who validate findings, interpret equipment context, prioritize recommendations, and help prescribe corrective maintenance rather than relying on automated predictions alone.
3. Operational fit: Trakka connects with condition-monitoring systems, ERP platforms, CMMS software, and mobile or field devices. Corrective maintenance identified in Trakka can flow into existing work-order processes, while the mobile Trakka tools let technicians capture inspection data and teams review asset health away from the desktop.
4. Commercial considerations: DINGO uses a consultation and demo-led enterprise sales process rather than publishing standard Trakka subscription tiers. Buyers should assess fleet size, equipment mix, condition-data sources, ERP/CMMS integration, implementation scope, mobile inspection requirements, and whether ongoing Condition Intelligence expert support is required.

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.