How a Tiny German AI Lab Landed a $1.06 Billion Exit to SAP in Just 18 Months

Jan de Vries · 2026-07-17

It's the kind of story that makes you sit up a little straighter. Eighteen months ago, Prior Labs was just a research project. Today, it's been bought by SAP for over $1.06 billion. That's not a typo. A billion dollars. For an AI lab that started with a $9.5 million pre-seed round back in 2025. This isn't just another acquisition. It's a signal. A sign that the next big wave in enterprise AI isn't about chatbots or image generators. It's about something much quieter, but way more powerful: structured data. ### What Prior Labs Actually Built Prior Labs is a Berlin-based frontier AI lab. They specialize in something called tabular foundation models, or TFMs. Basically, instead of training a separate AI model for every single dataset a company has, they built one model that can handle a ton of different prediction tasks straight from that data. Think about it. Most enterprise data lives in spreadsheets and databases. It's not pretty text or images. It's rows and columns of numbers, dates, and categories. That's the stuff that runs the world. And Prior Labs figured out how to make AI work directly on that kind of data without all the heavy lifting. It's already being used to prevent train failures with Hitachi. It's helping TD improve financial forecasting. And it's been applied in hundreds of research projects, from diagnosing pancreatic cancer to predicting wildfires and finding better battery materials. ### The SAP Deal: What It Really Means SAP didn't just write a check. They committed more than $1.06 billion to fund infrastructure, hiring, and long-term research. And they're letting Prior Labs keep its own brand, leadership, and research agenda. The models will stay openly available. The research will keep getting published. "Eighteen months ago, Prior Labs was a research project," says Frank Hutter, co-founder and CEO of Prior Labs. "Today we're beginning our next chapter as an AI lab with the resources to tackle problems we simply couldn't before." Philipp Herzig, CTO of SAP, put it even more bluntly. "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." ### Why This Matters for European Startups This deal is part of a bigger trend. EU-Startups' 2026 coverage shows about $2.04 billion in comparable and adjacent investments. That includes Nscale's massive $1.8 billion AI-compute round and Verda's $106 million financing. Germany alone has produced several direct competitors, including SPREAD, Cognee, Qorelo, Blockbrain, and Interloom. Including SAP's commitment to Prior Labs, the total activity referenced represents more than $3.1 billion. That's serious money flowing into European enterprise AI infrastructure. ### The Moonshots Ahead For Prior Labs, this acquisition unlocks the ability to pursue multi-year frontier research programmes that would have been impossible for an 18-month-old company. They're now looking at enterprise AI, scientific discovery, causality, relational data, and agentic systems. And they're aiming even higher. "Taking tabular foundation models to the next level requires better data environments, deployment surfaces, and long-term research investment," says Hutter. "And SAP is uniquely positioned to provide all of these." The real moonshots are in medical data and material sciences. The kind of problems that could genuinely change how we live. And now, with SAP's backing, Prior Labs has the runway to go after them. ### What You Should Take Away If you're building a startup in Europe, especially in enterprise AI, this is the kind of exit that should give you confidence. It proves that deep tech built for real business problems can attract massive investment and serious acquirers. It's not just about consumer apps or flashy demos. It's about solving the boring, hard problems that actually make companies run better. And it shows that with the right team and the right focus, you can go from research project to billion-dollar exit in 18 months. That's the kind of story that keeps founders going.