About
A product team for industrial AI
AI models, algorithms, operator software, and deployment — one team takes responsibility.
Mission
Build AI systems that help people make faster, safer decisions by reading industrial signals that are easy to miss.
- Structure field signals into data AI can use
- Deliver model results through interfaces operators can review
- Build deployment systems and apply them to match field conditions
Vision
An industrial AI company that connects sensing, judgment, and action in one product.
- End-to-end systems from sensor to action
- Reusable AI modules across signal domains
- Systems field teams can trust
Principles
How we work
We don't ship research as-is. Everything gets adapted to how the site actually runs.
Start from operations
Technology is only meaningful when it blends into the operations team's language and procedures.
The team that built it stays to the end
Problem framing, model, software, and deployment — the same team carries it through.
From demo to production system
We prioritize systems that can actually be used in production over short-term demonstrations.
Team timeline
From research to field-facing programs
From university lab to field projects.
2019
Started in the lab
Ultrasonic and signal diagnostics research at Seoul National University.
2020
First field project
Built a field-ready ultrasonic diagnostic system with the Korea Forest Research Institute.
2021
More signal domains
Expanded into acoustics and voice authentication.
2022
Turned it into a company
Went through startup programs and started thinking in products, not papers.
2024
Found our identity
Shipped enough projects to know what we are: an industrial AI team focused on deployment.
2025
Multiple PoCs running
Parallel proof-of-concept work across ports, manufacturing, and environment.
2026
Going to production
Preparing operational deployment with multiple customers.
Team culture
We prioritize systems that last in operations
Shipping matters less than staying in service.
Field conversations start the design
Talking with operating teams is part of product design, not a separate requirements step.
Cross-functional decisions
Hardware, signal processing, web, and infrastructure — team members decide together.
Fast validation, fast fixes
From prototype to production, fixes are applied immediately.
Awards & press
Awards and program selections
Recognition and program selections received by Xylolabs.
2022
Bronze Award, SNU Field Problem Research Group Competition
Seoul National University
2022
Pre-Startup Package selection
Korea Startup Promotion Agency (KISED)
2021
Grand Prize, SNU Field Problem Research Group Competition
Seoul National University
2021
LG CNS Startup Monster selection
LG CNS
2020
Excellence Award, SNU Field Problem Research Group Competition
Seoul National University
2020
Pine wilt diagnostic research project
Korea Forest Research Institute
2019
Grand Prize, SNU Field Problem Research Group Competition
Seoul National University
Partners
Partner institutions and companies
Seoul National University
Research collaboration and founding base
Korea Forest Research Institute
Field collaboration in tree diagnostics
Location
A608, 52 Chungmin-ro, Songpa-gu, Seoul
Our head office and corporate R&D lab share the same suite. Please set up a visit by email first.