Startup builds 'large tabular models' for spreadsheet data

Large language models (LLMs) struggle to analyze structured, row-and-column data like spreadsheets and transaction logs. Startup Fundamental is developing a new type of AI foundation model, called a large tabular model (LTM), specifically for this kind of data.

Why it matters: Most enterprise data lives in tables, a format current LLMs handle poorly.