Watch real-time predictive maintenance powered by advanced AI. See anomaly detection, RUL forecasting, and intelligent alerts working together.
Live data streaming from connected assets with instant anomaly detection
Elevated vibration on Pump P-103
Pump P-103 • 2m ago
Scheduled maintenance reminder
Compressor C-7 • 15m ago
Temperature threshold exceeded
Motor M-12 • 1h ago
Real-time health distribution across your entire asset fleet
Intelligent assistant that observes, reasons, and acts on your behalf
Continuously monitors anomalies, drift events, and RUL predictions across all assets
Uses LLMs to analyze patterns, draft incident descriptions, and determine priority
Creates tickets, sends notifications, and suggests maintenance actions automatically
● Online
I detected an anomaly on Pump P-103. Vibration levels are 40% above normal. Based on similar historical incidents, this could indicate bearing wear.
Suggested Actions:
Create a maintenance ticket for this issue
✓ Created ticket MAINT-4521 in Jira. Assigned to John Smith with high priority. Notification sent to maintenance team.
Everything you need for intelligent predictive maintenance
Isolation Forest with SHAP explainability for transparent AI decisions
LSTM neural networks with confidence intervals for accurate predictions
NLP-powered clustering to find patterns in log messages
Automated monitoring for data and concept drift with retraining triggers
Multi-channel alerts via Email, Slack, Teams, and Webhooks
MLflow integration for experiment tracking and model versioning
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