ABOUT · BARYON LABS

Before we sell it, we run our own company on it.

Baryon Labs doesn't just sell AI — we run a real business on AI and prove it works. The features, reports, and measurement framework on this site are the same tools we use every day.

01

Why measurement — the gap we found

We reviewed two years of public records on AI adoption at major listed companies in Korea. Redesigning work was the most active area of adoption. Yet measuring results and ROI was the only area left empty, no matter how we sliced the data.

Everyone was redesigning how they work. Almost no one was measuring the outcome — and that empty space became our product. (Baryon Labs research BL-IA-2026-03 · summary available on request)
02

Organizations we've worked with

Delivered to real organizations, not just demos.

Hanwha Aerospace · Hanwha Systems · ARA · Shinyoung · Hanjung NCS · Yonsei University · Alpaco · LIKELION · Daangn (Karrot)

We don't quote numbers for you — your own results will show them.

03

Our CEO

Martin Hong, CEO of Baryon Labs

CEO · BARYON LABSMartin Hong (Seungwoo Hong)

CEO, Baryon Labs
Adjunct Professor, Yonsei University

LinkedIn profile ↗

Martin teaches NLP, LLMs, and open-source software at Yonsei University, and has designed and built AI products at several startups. Having worked both in the classroom and in product development, he leads Baryon Labs to focus less on bringing AI in and more on getting it used in real work.

  • Now
    CEO, Baryon Labs — AI adoption, training, and impact measurement
  • Now
    Adjunct Professor, College of Global Talent, Yonsei University — Natural Language Information Analysis (NLP·LLM), Open-Source Software, Mobile Application Programming
  • Now
    CEO, VibeCamp — hands-on AI training for work
  • Fields
    Manufacturing automation · Legal · Tax · AI SaaS · Media · EdTech · Healthcare — AI and software products built firsthand across industries
  • Education
    Korea University, M.S. and B.S. in Computer Science
04

What we do

One team covers the whole path of AI adoption, from training to measurement. We start with onboarding training, bring daily work together in Work-Agent (our AI work pipeline), and use impact measurement to cut the AI usage that isn't paying off — building an AI-ready organization with a budget you can manage.

Contact: [email protected] · Seminar schedule on Luma.