About
A small AI company built for consequential work
STAI x BWLB works where technical delivery, institutional responsibility, and public value must stay connected.
Sustainable Transition through AI
We use AI to improve how institutions understand evidence, make decisions, build capability, and communicate with the people they serve.
An expert-led delivery model
A focused core team owns the work and forms project-specific collaborations when additional domain, research, or implementation expertise is required.
Founder
Young Joon Lee
Founder and Associate Professor of Artificial Intelligence
Based in Jeju, he leads applied AI work across education, institutional transformation, and public-interest information systems.
Who runs the work
Young Joon Lee
AI leadership at the university alongside direct delivery ownership.
@entelecheiaMoon Jae-hyeon
Delivery of the KBS Jeju election site — council-member news archive and interactive content.
@maenjhKim Woong-bin
Knowledge-graph and RAG pipelines, Korean document processing, and Maru architecture.
@YeolHanMyeongPrinciples that govern the work
Evidence before assertion
Important claims keep their source, reference date, and review status.
Human judgment stays visible
AI assists analysis and production; accountable people approve consequential outputs.
Operation defines success
A prototype matters only when a team can use, maintain, and improve it.
Build the next STAIx collaboration
Connect an institutional mission with research, education, and delivery capacity.