Predictive Maintenance
Prevent Failures Before They Happen — With Smart Insights from Your Digital Twin
Traditional maintenance is reactive or time-based. Predictive Maintenance changes that by using real-time data, machine learning, and your 3D digital twin to detect potential failures early — before they cause costly downtime or severe damage.
Stop Guesswork. Start Predicting.
Instead of waiting for something to go wrong, Predictive Maintenance uses live condition monitoring and historical data trends to detect subtle anomalies in asset performance. Whether it’s a motor running hot, a pump vibrating abnormally, or a panel showing current imbalances — you’re notified early and visually.
This means fewer unexpected breakdowns, significantly lower maintenance costs, and extended equipment life — all visualized within your digital twin environment.
Key Capabilities
Condition-Based Alerts
Receive early warnings from vibration, temperature, current, or pressure readings — precisely mapped to equipment inside your 3D model.
Machine Learning Anomaly Detection
AI learns your asset behavior over time and intelligently identifies unusual patterns that signal early-stage failures.
Maintenance Priority Mapping
Assets are automatically color-coded in the 3D environment based on risk levels — helping teams prioritize action visually and efficiently.
Historical Trend Analysis
Visualize weeks or months of sensor history in relation to equipment geometry — enabling powerful data-driven diagnosis.
Maintenance Logs & Recommendations
Attach service history, manuals, inspection reports, and AI-generated suggestions to each asset within the 3D space for comprehensive record-keeping.
Benefits You Can Expect
- Reduced Downtime: Avoid costly interruptions by acting before failures occur
- Lower Maintenance Costs: Shift from reactive to proactive strategies
- Longer Asset Life: Prevent damage through early intervention
- Improved Safety: Identify hazardous conditions before they escalate
- More Informed Teams: Maintenance decisions are visual, data-backed, and collaborative
Ideal for:
- Power & Utility Assets
- Oil & Gas Equipment
- HVAC and Electrical Systems
- Pumps, Motors, and Compressors
- Data Centers, Factories & Infrastructure
How It Works:
- Connect real-time sensor data (IoT, SCADA, BMS)
- Train machine learning models using historical trends
- Map asset health & alerts into your 3D digital twin
- Visualize predictions and take preemptive action
Let your assets tell you when they need attention — visually, in real time.
Request a Demo about how Predictive Maintenance can transform your operations.