Nums AI develops tabular foundation models that analyze and predict missing values in structured data (rows and columns) in a single inference step. Its TFM approach is designed to handle multiple tasks—such as demand forecasting, anomaly detection, and credit evaluation—without building separate task-specific models. The company plans to commercialize via API offerings and on-premise deployments for customers with data-export constraints, targeting sectors like manufacturing, finance, retail and commerce, and healthcare. Nums AI intends to use its recent seed funding to expand GPU infrastructure and grow its research team to accelerate model development. The company was founded by CEO Jae-min Yoo, an academic with a Google PhD Fellowship and assistant professorship background, alongside co-founders Doo-ho Lee and Min-yong Cho, who bring research and engineering experience in structured-data AI.

Total raised

$3M

Funding rounds

1

Latest round

Seed

Latest activity

Jul 2026