Principles
How we approach projects
Research outputs are not shipped as-is. They are adapted to the operating environment.
About
A small industrial AI team
Xylolabs designs algorithms, operator software, and deployment architecture as one system.
Mission
Build AI systems that help people make faster, safer decisions by reading industrial signals that are easy to miss.
- Turn weak field signals into usable inputs
- Deliver model output through interfaces operators can act on
- Deploy with the trust and governance real sites need
Vision
An industrial AI company that connects sensing, judgment, and action as one operating product.
- End-to-end systems from sensor to action
- Reusable AI modules across signal domains
- Deployment models field teams can explain and trust
Principles
How we approach projects
Research outputs are not shipped as-is. They are adapted to the operating environment.
Research shaped by context
A technical result only matters if the operating team can use it through their own interface and routine.
Core team owns every step
Problem framing, model design, software, and deployment stay with the same people.
Operating fit over demos
Systems that stay in use take priority over one-off demonstrations.
Timeline
From research to field-facing programs
The path from early research to the industrial programs Xylolabs runs today.
2019
Research foundation in signal analysis
Hands-on experience in ultrasonic and signal-based diagnostics through research at Seoul National University.
2020
Applied non-destructive diagnostics
Projects with the Korea Forest Research Institute translated ultrasonic diagnostics into field-usable methods.
2021
Expansion into additional signal domains
Work in acoustics and voice authentication broadened the range of signals the team could apply.
2022
Commercialization groundwork
Startup support programs accelerated the shift from research outputs to product and service thinking.
2024
Deployment-focused AI company
Awards and project delivery clarified the team’s industrial, deployment-focused identity.
2025
Multi-client PoC programs
Concurrent proof-of-concept work across port, manufacturing, and environmental programs.
2026
Deployment after validation
Validated programs moving into broader deployment and operational integration.
Working method
We prioritize what can stay in use
What gets built matters less than whether it keeps running inside operations.
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 decisions happen at the same table.
Fast validation, fast fixes
Move between prototype, pilot, and production. Fix things as soon as they surface.
AWARDS & PRESS
Awards and program selections
Awards and program selections
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
Research grant selection: pine wilt diagnostic 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 coordinate a visit by email beforehand.