SAP completes its acquisition of Prior Labs — the Freiburg TabPFN pioneer — committing more than €1 billion over four years to scale structured-data AI as an independent frontier lab.
SAP SE announced it has completed the acquisition of Prior Labs, the German pioneer of Tabular Foundation Models (TFMs). Prior Labs will continue as an independent entity, with SAP committing to invest more than €1 billion over the next four years to scale it into a globally leading frontier AI lab for structured business data — spreadsheets, databases, and relational records that power ERP workflows.
The deal closes just 18 months after Prior Labs was founded and roughly 17 months after its €9M pre-seed led by Balderton Capital. TabPFN-3-Thinking, the company's latest model, delivers zero-shot predictions on tabular data in seconds without preprocessing or retraining — use cases include churn prediction, fraud detection, credit scoring, and time-series forecasting. The open-source TabPFN has been downloaded over 1 million times.
For SAP, the acquisition extends a TFM strategy that began with SAP-RPT-1 and brings one of the world's leading TFM research teams in-house while preserving lab independence — a structure designed to retain frontier researchers who would otherwise reject full absorption.
Our Take
this is the most important enterprise AI acquisition of July 2026 because it targets the data type that actually runs businesses — tables, not tokens. Strategics are no longer buying chatbot wrappers; they are buying foundation-model categories where LLMs underperform. Founders building vertical AI on structured data should expect inbound interest from ERP and fintech platforms before the next funding round closes.