IBM Maximo
CMMS PlatformsAI-powered enterprise asset management with predictive maintenance, condition-based monitoring, and comprehensive CMMS/EAM for healthcare.
Key Features
- ✓ Maximo Predict uses AI/ML to forecast asset failure probability and time-to-failure
- ✓ Condition-based maintenance with IoT sensor integration (Maximo Monitor)
- ✓ Reliability-Centered Maintenance (RCM) with FMEA integration
- ✓ Asset health scoring and degradation trend analysis
- ✓ Enterprise-scale work order, PM, and inventory management
What Sets Them Apart
Most advanced AI-powered predictive maintenance in the CMMS market — Maximo Predict provides genuine ML-driven failure forecasting, not just rules-based automation.
AI & Automation
Uses AI/ML
Maximo Predict uses ML models trained on maintenance history, sensor data, inspection reports, and environmental data to predict failure probability, time-to-failure, and anomaly detection. Models are built via Jupyter notebooks and deployed per asset group.
Integrations
Epic ServiceNow SAP
Tags
work-orders pm-scheduling ai-powered predictive-maintenance enterprise
Featured In
Trust Signals
Customers
Used by major health systems worldwide
Reviews
G2 4.2/5
Certifications
SOC 2 Type II, HIPAA compliant