Edge Physical AI Platform
Detect equipment changes at the edge
Edge AI analyzes equipment signals and sends inspection events to control and maintenance systems.
- Acoustic, vibration, temperature
- Edge AI inference
- Operating-context analysis
- Control and maintenance integration
Field challenges
Signals change before equipment stops
Fragmented field data
Sensor, PLC, MES, and control data are stored in separate systems.
Alerts without context
Without operating state, normal changes are difficult to distinguish from anomalies.
Analysis without action
Analysis results do not reach inspection workflows or control-room alerts.
Solutions
Edge AI solutions
Xylo-Core analyzes equipment state and operating data together.
Predictive maintenance AI
Xylo-Zero
Checks small changes in equipment condition against operating data and selects events that need inspection.
- Signals
- Acoustic, vibration, temperature, PLC/Drive
- Deployment goals
- Anomaly events, inspection priority
Process energy optimization AI
Xylo-Saver
Analyzes plant energy use by equipment and process to locate inefficiencies.
- Signals
- PLC, MES, power, production data
- Deployment goals
- Inefficiency detection, savings priority
Public-safety event detection AI
Xylo-Guard
Uses robots and drones to monitor areas that lack continuous coverage and reports only risks to the control room.
- Signals
- Video, location, environment, robots/drones
- Deployment goals
- Risk-event selection, field response
Industries
Industry applications
Collect and analyze data for local operating conditions.
Cranes, terminal operations
Ports & logistics
View crane condition under repeated loads alongside terminal operating data.
Rotating equipment, utilities
Power & energy
Compare equipment condition and operating data to identify inspection needs and energy inefficiency.
Production equipment, process data
Manufacturing
Analyze production and sensor data by equipment and process.
Distributed equipment, remote control
Industrial & public infrastructure
Send condition events from distributed equipment to inspection and remote control systems.
Forests, facilities, monitored areas
Public safety
Process data where connectivity and staffing are limited, then send it to control rooms.
Xylo-Core
Data collection, analysis, and alerts
Collect field data
Collect acoustic, vibration, temperature, power, PLC/MES, and robot data on site.
Interpret operating context
Consider equipment state and operating windows together to select events for analysis at the edge.
Connect inspection and control
Deliver detections as inspection priorities, control-room views, alerts, and reports.
Case Studies
Field case studies
Environment & Forestry
Early pine wilt detection with ultrasonic NDT
Ultrasonic NDT caught internal changes in healthy-looking pines for earlier pine wilt detection, with scans captured and read on site.
Logistics & Port
Continuous STS crane drivetrain monitoring
A system deployed at a major Korean port continuously monitors STS crane drivetrain condition by combining acoustic and vibration signals with PLC operating context.
Security & Control
Speaker verification for high-noise environments
Error-prone voice login replaced with noise-robust speaker verification and liveness checks, integrated into existing control-room login flows.
