AI Insights
AI-powered health scores, context-aware insights, trend detection, anomaly identification, and on-demand analysis — updated every 15 minutes.
Overview
UpKeep Edge AI Insights goes beyond raw sensor data to surface what actually matters. The AI engine generates health scores (0-100) for every monitored asset, produces context-aware insight summaries per sensor, detects repeating trends, identifies early risk signals, and predicts when equipment is likely to need maintenance. Insights update automatically every hour, with on-demand generation available every 15 minutes.
Key Benefits
- Get a single AI-generated health score (0-100) for every monitored asset
- Receive plain-language summaries of sensor health instead of parsing raw numbers
- Detect repeating patterns and trends that manual inspection would miss
- Identify early risk signals like abnormal duty cycles and threshold proximity before they escalate
- Generate fresh insights on demand every 15 minutes with a single click
- Create work orders directly from an insight with AI-suggested titles and descriptions
- Justify capital investments with data-driven equipment lifecycle analysis
How It Works
Sensors feed vibration, temperature, current, and humidity data into the Edge AI engine
ML models automatically baseline normal operating patterns for each individual asset
Edge AI analyzes each sensor's current readings against its historical baseline, configured thresholds, and connectivity data
Insights generate automatically every hour — users can trigger on-demand generation every 15 minutes via the "Generate Insight" button
The dashboard surfaces the assets most likely to need attention, ranked by health score and urgency
Key Features
Asset Health Scores
Every monitored asset gets an AI-generated 0-100 health score updated continuously as new sensor data arrives. The dashboard ranks assets by urgency so your team knows what needs attention first.
Contextual Insights
Each insight combines current sensor values, historical trends, threshold proximity, and connectivity data into a plain-language summary — including analysis like "temperature consistently exceeded thresholds over the last 70 days."
Anomaly Detection & Prediction
Machine learning identifies patterns that deviate from normal behavior and forecasts when equipment is likely to need maintenance, giving you time to plan repairs during scheduled downtime.
Insight-to-Work-Order
Create a work order directly from any insight. The AI pre-fills the title and description with the relevant sensor context, readings, and alert data. Created work orders are visible within the insight view for traceability.
Compatible Sensors
All UpKeep Edge sensors work with ai insights.
Other Capabilities
Real-Time Monitoring
Live sensor data grouped by asset — readings, alerts, connectivity, and work orders all visible in one expandable dashboard.
Predictive Maintenance Alerts
Intelligent threshold-based alerting with clear Warning, Out of Range, and Incident states — plus one-click alert setup directly from any sensor.
Wireless Sensor Gateway
The hub of your IIoT network — connect hundreds of sensors through a single industrial gateway with enterprise-grade mesh networking.
CMMS Integration
Sensor data flows into UpKeep work orders, asset records, and reports — with AI-suggested work orders created directly from insights and alerts.
See AI Insights in action
Schedule a demo and we'll show you how Edge transforms raw sensor data into maintenance action.