How a Tiny German AI Lab Built a Billion-Dollar Exit in 18 Months

Jan de Vries · 2026-07-17

### From Research Project to Billion-Dollar Acquisition Berlin-based Prior Labs, a frontier AI lab, just pulled off something that sounds almost impossible. The company announced today that SAP, the German software giant, has completed its acquisition of the startup. The deal comes with more than $1.1 billion in investment from SAP to fund infrastructure, hiring, and long-term frontier research. Think about that for a second. Eighteen months ago, this was just a research project. Now it's a billion-dollar company with SAP's full backing. ### The Deal That Shook European Tech Prior Labs will keep operating under its own brand, leadership, and research agenda. They'll continue publishing their work and making their models openly available. This all follows their $9.8 million pre-Seed round back in 2025. "Eighteen months ago, Prior Labs was a research project," says Frank Hutter, co-founder and CEO. "Today we're beginning our next chapter as an AI lab with the resources to tackle problems we simply couldn't before. Taking tabular foundation models to the next level requires better data environments, deployment surfaces, and long-term research investment, and SAP is uniquely positioned to provide all of these." ### Why SAP Went All In SAP's acquisition of Prior Labs comes after massive investment in European infrastructure needed to train, deploy, and govern enterprise AI. This isn't just about one company. It's part of a bigger wave. EU-Startups' 2026 coverage shows roughly $2.1 billion across similar companies. That includes: - Nscale's $1.85 billion AI-compute round - Verda's $109 million financing - Investments in enterprise data, memory, and ERP infrastructure at Conduct, OpsMill, and Modern Relay Germany alone has produced several direct competitors, including Berlin-based SPREAD, Cognee, and Qorelo, plus Stuttgart's Blockbrain and Munich's Interloom. Including SAP's commitment to Prior Labs, the total activity represents more than $3.2 billion. ### The Technology Behind the Hype "Early on, SAP recognized that the greatest untapped opportunity in enterprise AI wasn't large language models; it was AI built for the structured data that runs the world's businesses," adds Philipp Herzig, CTO of SAP. "Prior Labs has defined the category of TFMs and has built the world's strongest research team in this category, topping the public benchmarks since day one." Founded in 2024, Prior Labs is an innovator of tabular foundation models (TFMs). These are AI models purpose-built for enterprise data. The company was founded by Frank Hutter, Noah Hollmann, and Sauraj Gambhir. Rather than forcing organizations to train a separate AI model for every dataset, TabPFN uses a single pre-trained foundation model. It can solve prediction tasks like payment delays, customer churn, supplier risk, and demand forecasting directly from structured enterprise data. ### Real-World Impact Their technology is already making a difference. It's helping prevent train failures with Hitachi, improving financial forecasting with TD, and has been applied across hundreds of published research projects. These range from pancreatic cancer diagnosis to wildfire prediction to next-generation battery materials. Today's acquisition by SAP lets Prior Labs deploy these models across industries where enterprise data carries the most value. It also enables them to pursue multi-year frontier research programs that would have been out of reach for an 18-month-old company. ### What's Next Access to enterprise data environments and long-term investment will allow the company to pursue more ambitious research. They're looking at enterprise AI, scientific discovery, causality, relational data, and agentic systems. They're even aiming for "moonshots" toward solving some of the most important problems of our time, like medical data and material sciences. This is what happens when a tiny research team with a big idea meets a giant with deep pockets and a clear vision. The result? A billion-dollar exit in just 18 months.