The 18-Month-Old AI Lab That Just Got Acquired by SAP for Over $1 Billion

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Berlin-based Prior Labs, an 18-month-old AI lab, gets acquired by SAP for over $1 billion. Learn how tabular foundation models are reshaping enterprise AI and what this means for the future of structured data.

Berlin-based frontier AI lab Prior Labs just made a move that's turning heads in the enterprise world. Today, they announced that SAP has completed its acquisition of the company, backed by more than $1.05 billion in investment from the software giant. That's roughly €1 billion, but in U.S. dollars, it's a staggering sum aimed at funding infrastructure, hiring, and long-term frontier research. ### What This Means for Prior Labs Prior Labs isn't going anywhere. They'll keep their own brand, leadership, and research agenda. They'll still publish their work and make their models openly available—all with SAP's support. This comes right after their $9.5 million pre-Seed round in 2025, which is about €9 million. Talk about a fast track. Frank Hutter, co-founder and CEO of Prior Labs, put it this way: "Eighteen months ago, Prior Labs was a research project. Today we're beginning our next chapter as an AI lab with the resources to tackle problems we simply couldn't before." He's not wrong. 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 that. ### The Bigger Picture for European AI SAP's acquisition of Prior Labs isn't happening in a vacuum. It follows substantial investment in the European infrastructure needed to train, deploy, and govern enterprise AI. In fact, EU-Startups' 2026 coverage includes about $2.03 billion across comparable and adjacent companies. That's led by Nscale's $1.79 billion AI-compute round and Verda's $105 million financing, plus investments in enterprise data, memory, and ERP infrastructure at Conduct, OpsMill, and Modern Relay. Germany has been a hotbed for this kind of innovation. Think Berlin-based SPREAD, Cognee, and Qorelo, as well as Stuttgart's Blockbrain and Munich's Interloom. Including SAP's commitment to Prior Labs, the total activity referenced represents more than $3.08 billion. That's a lot of zeros. ### Why SAP Bet Big Philipp Herzig, CTO of SAP, explained it simply: "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." Prior Labs has defined the category of tabular foundation models (TFMs) and built the world's strongest research team in this category, topping public benchmarks since day one. Combining their frontier model work with enterprise data and customer reach is how SAP intends to lead this category globally. ### What Prior Labs Actually Does Founded in 2024 by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, Prior Labs is all about tabular foundation models—a category of AI purpose-built for enterprise data. Instead of requiring organizations to train a separate AI model for every dataset, their TabPFN uses a single pre-trained foundation model that can solve prediction tasks directly from structured enterprise data. We're talking payment delays, churn, supplier risk, and demand forecasting. 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—from pancreatic cancer diagnosis to wildfire prediction to next-generation battery materials. ### What's Next Today's acquisition by SAP allows Prior Labs to 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. Access to enterprise data environments and long-term investment means they can tackle more ambitious research across enterprise AI, scientific discovery, causality, relational data, and agentic systems. And yes, even some "moonshots" towards solving some of the most important problems of our time—like medical data and material sciences. This is one of those stories that shows just how fast things can move when the right team meets the right opportunity. Prior Labs went from a research project to a billion-dollar acquisition in just 18 months. That's not just impressive; it's a sign of where enterprise AI is headed.