SAP has completed its acquisition of Prior Labs, the Freiburg-based pioneer of tabular foundation models, and committed to investing more than €1 billion over four years to scale it into a globally leading frontier AI lab. Prior Labs will continue operating as an independent entity under SAP.
The startup, founded by Frank Hutter, Noah Hollmann, and Sauraj Gambhir roughly 18 months ago, built the TabPFN model series that was published in Nature and set the state of the art on tabular benchmarks across hundreds of independent academic studies.
SAP's reasoning is refreshingly contrarian: the biggest untapped opportunity in enterprise AI is not large language models, but AI purpose-built for the structured data that actually runs businesses — the tables, ledgers, inventories, and transaction records sitting in enterprise databases. Language models handle documents and chat well but handle spreadsheets poorly, and SAP sits on more enterprise structured data than almost anyone.
Tabular foundation models are AI systems pretrained on structured, table-shaped data rather than text. Prior Labs' TabPFN demonstrated that a single pretrained model can outperform traditional machine learning approaches on tabular benchmarks without task-specific training — a result strong enough to publish in Nature.
This is also a meaningful European AI story at a moment when the continent is usually cast as regulating rather than building. An 18-month-old German startup with a Nature paper being scaled into a frontier lab with a billion euros behind it is exactly the kind of outcome European technology policy has sought for a decade.
