Fundamental is a San Francisco AI company building NEXUS, a Large Tabular Model (LTM) - a foundation model purpose-built for the structured, tabular data that powers enterprise decisions. Pre-trained on billions of real-world enterprise tables, NEXUS aims to bypass manual ETL and feature engineering, letting enterprises predict demand, price, churn, and other outcomes directly from their databases.
Jeremy Fraenkel is the CEO and co-founder of Fundamental, the AI lab that emerged from stealth in February 2026 as a $1.4 billion unicorn with $255 million in funding. A DeepMind alumnus with a graduate degree in Machine Learning from UC Berkeley, Fraenkel previously cut his teeth at JPMorgan and Bridgewater Associates before founding and exiting two startups. At Fundamental, he and co-founders Marta Garnelo (Chief Science Officer, ex-DeepMind/Isomorphic Labs) and Gabriel Suissa are building NEXUS, a Large Tabular Model that does for structured enterprise data what LLMs did for language - delivering accurate predictions from raw tables with a single line of code, no preprocessing required.