The people building AI
that gets more accurate
Operations over models
Enterprise AI fails not because the model is lacking, but because operations can't keep up. Combining large and small models for the right situation, and balancing cost with performance so the system stays stable even when models change — that matters more than model selection alone.
AI creates the capacity for people to create the next value
We don't build AI to replace people. We build it so practitioners on the ground can leverage AI as a tool to drive greater impact. In industries where human expertise is the core, AI expands the reach of that expertise.
Engineers and business leaders from diverse backgrounds have come together. People who have designed and operated AI systems firsthand are building technology that actually works in real-world industries.
Seunghyun Yu (Kris)
CEO
M.S. in Statistics, Korea University. Applied AI Systems Architect. Builds production-grade AI agents and Observability / Context Engineering layers.
Dongkwan Kim (Paul)
Head of Research & Engineering
Built revenue through NLP research with the CEO since 2021, launched products in the US market. Now leads all research and engineering
Sungmin Eom (Simon)
Platform Lead Engineer
KAIST Computer Science. Full-stack from networking to scalable AI systems.
Heeyoung Na (Dia)
Product Advisor
Founded an agency serving 30+ enterprise clients. Led multiple zero-to-one product builds.
Changmin Yoon (Kyle)
CBO
Serial entrepreneur with 3 ventures. Lehigh Accounting & Finance, LSE M.A. in Philosophy.
Hakjun Lee (Tom)
Head of Customer Engineering
Self-taught engineer. Led end-to-end project delivery at Seegene, BMTech, and others.
Haeseok Yang (Xeno)
Forward Engineer
Seoul National University. Full-stack development skills with machine learning intuition.