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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

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