Built in Seoul. Focused on one hard problem.
TableAI started in 2025 when Seo Jeong-wook spent another afternoon watching analysts queue up SQL requests that would take three days to answer. The question was always clear. The path to the answer was not. We set out to close that gap.
Three people, one focused problem
Seo Jeong-wook
CEO & Co-Founder
Spent years on enterprise data infrastructure and analytics bottlenecks. Built TableAI after watching entire data teams lose days to SQL queue backlogs they could not clear fast enough to keep up with business questions.
Kim Dae-jun
CTO & Co-Founder
Distributed query systems background with experience building cross-source data federation layers for analytics platforms. Responsible for TableAI's query routing architecture and warehouse connector design.
Lim Yun-seo
Head of Product
Product design experience on analytics tooling, focused on making complex data workflows accessible to non-technical operators. Shapes the question interface and result format to fit real-world team workflows.
The data bottleneck is a question-routing problem
Most business questions are straightforward. The data to answer them already exists. The only thing standing between a question and an answer is the need to express it in SQL and find the right tables in the right system. TableAI removes that step entirely, routing natural-language questions to the right warehouse, running the right query, and returning a clean, formatted table. No SQL queue. No waiting.
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