From Lab to $1 Billion: How a German AI Startup Sold to SAP in 18 Months

Jan de Vries · 2026-07-17

Eighteen months. That's all it took for Prior Labs, a Berlin-based AI startup, to go from a research project to a company acquired by software giant SAP for over $1 billion. If you're following European startup news, this is the kind of deal that makes you sit up and take notice. It's not just about the money—it's about what it means for the future of enterprise AI. Prior Labs announced today that SAP has completed its acquisition, backed by more than $1.1 billion (converted from €1 billion) in investment. The funds will fuel infrastructure, hiring, and long-term frontier research. The startup will keep its own brand, leadership, and research agenda, and it will continue to publish its work and make its models openly available. This all comes after a $9.7 million pre-Seed round in 2025. ### The Backstory: A Research Project Turned Powerhouse Frank Hutter, co-founder and CEO of Prior Labs, put it simply: "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." The company focuses on tabular foundation models (TFMs), a type of AI built specifically for structured enterprise data. Think of it as AI that understands spreadsheets and databases, not just text or images. Prior Labs was founded in 2024 by Frank Hutter, Noah Hollmann, and Sauraj Gambhir. Their technology, TabPFN, uses a single pre-trained model to solve prediction tasks like payment delays, customer churn, supplier risk, and demand forecasting. Instead of building a separate AI model for each dataset, companies can use one model that works across all their data. ### Why SAP Bought In SAP's CTO, Philipp Herzig, explained the strategy: "Early on, SAP recognised 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 TFM category and built the world's strongest research team in it, topping public benchmarks since day one. The acquisition is part of a larger trend. EU-Startups' 2026 coverage shows about $2.1 billion in comparable deals across European AI companies. This includes Nscale's $1.84 billion AI-compute round and Verda's $108 million financing, plus investments in enterprise data infrastructure at Conduct, OpsMill, and Modern Relay. Germany alone has produced several similar startups, including Berlin-based SPREAD, Cognee, and Qorelo, as well as Stuttgart's Blockbrain and Munich's Interloom. ### Real-World Impact Prior Labs' technology is already making a difference. It's helping prevent train failures with Hitachi and improving financial forecasting with TD. The models have been applied in hundreds of research projects, from pancreatic cancer diagnosis to wildfire prediction to next-generation battery materials. With SAP's backing, these models can now deploy across the industries where enterprise data carries the most value. For an 18-month-old company, this acquisition unlocks what was previously impossible: multi-year frontier research programs. Prior Labs can now pursue ambitious work in enterprise AI, scientific discovery, causality, relational data, and agentic systems. They're even talking about "moonshots" in medical data and material sciences. ### What This Means for European Startups If you're building a startup in Europe, this deal sends a clear signal. Big companies are hungry for AI that solves real business problems, not just flashy demos. Prior Labs succeeded because they focused on structured data—the boring but essential stuff that powers every business. They didn't chase the hype around large language models. They found a niche and owned it. The lesson? Don't try to be everything to everyone. Find a specific problem, build the best solution, and the exits will follow. SAP's $1.1 billion bet on Prior Labs proves that European AI startups can compete on the global stage.