Continuously monitors the condition and performance of critical assets and equipment.

Uses sensor data, meters, and operational systems to provide a live view of asset status.

Supports integration with existing IoT platforms, SCADA, and control systems for seamless data flow.

Uses AI and machine learning models to detect abnormal patterns in asset behavior.

Generates real-time alerts when assets deviate from expected operating conditions.

Helps maintenance teams respond proactively to potential failures before they escalate

Offers intuitive dashboards and visualizations to track asset performance and trends.

Supports role-based views for operators, engineers, and managers to focus on relevant metrics.

Enables custom dashboards for specific asset types, sites, or operations.

Provides automated insights and recommendations based on AI analysis of historical and real-time data.

Supports predictive capabilities when combined with Maximo Predict, enabling better long-term asset planning.

Built on open, hybrid cloud architecture, making it scalable from a few assets to thousands.

Can be deployed on-premises, in the cloud, or at the edge to suit operational needs.