Built for Real-world Operations
About Xylolabs
A team with AI, data, software, hardware and field validation experience, building edge AI that runs in real industrial operations.
- Incorporated
- December 2025
- Research began
- 2019, Seoul National University
- Focus
- Equipment condition monitoring, battery safety, edge Physical AI
Team
Leadership works alongside data, software and hardware engineers.
Meet the teamTechnology & IP
Multimodal data acquisition, Context Gating, edge AI inference and operational integration. A patent application covers the multimodal data acquisition method and system.
Technology & IP
Track record
- Ports
- Condition monitoring of rotating equipment in a container terminal's STS crane machinery rooms, deployed and in operation
- Power
- Continuous acoustic collection pilot on coal handling conveyors
- Predictive maintenance PoC for gas turbine generators
- Manufacturing and batteries
- Acoustic validation of battery fire precursors
- Condition monitoring PoC for shipyard welding equipment and cranes
- Government R&D and public Physical AI
- 2026 on-device AI public service pilot (robots and drones)
- Pine wilt diagnosis research project with the National Institute of Forest Science
Program selections
- MYSC EMA Original 2026
- BNK 2026 CHAIN-G
- CMK Impactpreneur Cohort 14
- Shinhan BLUEWAVE Cohort 12
- MYSC Marine Accelerator Program
Awards and selections
- 2022Bronze Award, SNU Field Problem Research Group Competition - Seoul National University
- 2022Pre-Startup Package selection - Korea Institute of Startup & Entrepreneurship Development (KISED)
- 2021Grand Prize, SNU Field Problem Research Group Competition - Seoul National University
- 2021LG CNS Startup Monster selection - LG CNS
- 2020Excellence Award, SNU Field Problem Research Group Competition - Seoul National University
- 2020Pine wilt diagnostic research project - National Institute of Forest Science
- 2019Grand Prize, SNU Field Problem Research Group Competition - Seoul National University
Partners
Seoul National University
Research collaboration and founding base
National Institute of Forest Science
Field collaboration in tree diagnostics