Physical AI from Korea, proven in the field
From facility monitoring to industrial safety, environmental diagnostics, and voice security. We build systems that read and interpret acoustic, vibration, ultrasonic, and voice signals.
Products
Facility Monitoring
XyloZero
XyloZero is a facility monitoring platform that reads acoustic, vibration, and environmental signals in real time.
- Continuous real-time device health monitoring
- Acoustic and vibration anomaly detection
- Environmental condition tracking
Solutions
Predictive Maintenance AI
Motor Sound Diagnostics
A condition-monitoring system that analyzes acoustic and vibration patterns of motors and gearboxes to catch anomalies early.
- Signals
- High-frequency audio and vibration signatures
- Deployment
- Field PLC/SCADA equipment, control dashboard, and alerting
Port Operations AI
Terminal Operations Console
An operations console that brings terminal data scattered across the control room, the field, customer channels, and legacy systems into a single view.
- Signals
- Operational telemetry, berth flow, and crew coordination
- Deployment
- Control-room UX with live terminal visualization
Field case studies
Early pine wilt detection with ultrasonic NDT – Korea Forest Research Institute
Ultrasonic NDT caught internal changes in healthy-looking pines for earlier pine wilt detection, with scans captured and read on site.
Continuous STS crane wire monitoring – Major Korean port operator
Real-time condition monitoring for STS crane wires that build fatigue fast under repeated heavy loads, deployed at a major Korean port to prevent wire failures.
Speaker verification for high-noise environments – Company C
Error-prone voice login replaced with noise-robust speaker verification and liveness checks, integrated into existing control-room login flows.
Xylolabs
A Korean physical AI company built on signal-analysis research started at Seoul National University in 2019. We prove our systems in forests, ports, and control rooms.
- Incorporated
- December 2025
- Research since
- 2019, Seoul National University
- Focus
- Facility monitoring, industrial safety, environmental diagnostics, voice security, robotics AI