Are there any condition monitoring software platforms that focus on predicting failures for critical equipment?

Yes. There are several condition monitoring / predictive maintenance platforms that are specifically used to anticipate failures in critical equipment, especially in industrial settings like manufacturing, power generation, mining, oil & gas, utilities, and transportation.

Examples include:

• IBM Maximo Application Suite – asset management plus AI-driven monitoring and predictive maintenance
• GE Vernova / GE Digital APM – commonly used for critical industrial assets and failure prediction
• Siemens Senseye Predictive Maintenance – focuses on detecting early signs of failure from machine data
• ABB Ability™ Condition Monitoring – used for rotating equipment, motors, drives, and other critical assets
• AVEVA Predictive Analytics / PI System ecosystem – combines historian data and analytics for asset health
• AspenTech Aspen Mtell – known for predictive failure detection and remaining useful life-style insights
• Uptake – analytics platform for industrial equipment health and failure prediction
• eMaint + Fluke reliability tools – more CMMS-oriented, but can support condition-based maintenance
• Praxedo / Fiix / Limble / Fracttal – more maintenance management oriented, though some offer predictive features

Common techniques these platforms use:

• vibration analysis
• temperature / thermal monitoring
• oil analysis
• motor current signature analysis
• acoustic monitoring
• historian and sensor trend analysis
• anomaly detection and failure pattern recognition

If you want, I can also:

1. narrow this down by industry,
2. compare a few platforms for critical rotating equipment, or
3. suggest options based on your budget and data sources.