On Monday, SAP, one of Europe's largest software companies, announced its intention to acquire Prior Labs, a German AI startup specializing in tabular foundation models (TFMs). While the exact acquisition price remains undisclosed, SAP plans to invest €1 billion (approximately $1.16 billion) over the next four years to grow the startup into a dedicated AI lab focused on structured data — the tables and databases that underpin enterprise operations. The move comes as SAP faces increasing pressure from the so-called SaaSpocalypse, which has significantly eroded its stock value in 2026.
SAP's stock has declined sharply this year, partly due to broader market turbulence in the SaaS sector. The company's CFO, Dominik Asam, noted in a January interview that AI represents both a threat and an opportunity for incumbents like SAP. "It's all about how quickly we as SAP can actually embark on these technologies in our R&D portfolio to keep the relative economies of scale advantage," he told CNBC. The acquisition of Prior Labs is a clear signal that SAP intends to lead — not follow — in the enterprise AI race.
The Acquisition Details
According to sources familiar with the deal, the purchase is an "almost all cash" transaction, with well over half a billion dollars in cash up front for Prior Labs' founders — Frank Hutter, Noah Hollmann, and Sauraj Gambhir. The startup was founded just 18 months ago in Freiburg, Germany, with a mission to build AI models that can make predictions directly from structured data, a niche that analysts say has been largely overlooked by the generative AI boom.
Prior Labs had previously raised approximately $9.3 million in a pre-seed round led by Balderton Capital in February 2025. Balderton partner James Wise called the acquisition "one of Germany's biggest ever venture outcomes." The startup's TabPFN model series has gained significant traction among developers, with over three million downloads of its open-source versions. In a blog post, the founders emphasized their commitment to maintaining open-source availability even after the acquisition.
Why Tabular Foundation Models Matter
While large language models (LLMs) like GPT-4 have dominated headlines, enterprises rely heavily on structured data stored in relational databases and spreadsheets. Tabular foundation models are designed specifically for this environment, offering capabilities such as classification, regression, and imputation without the need for extensive fine-tuning. Prior Labs' TabPFN models use a pretrained transformer architecture that can generalize across diverse tables with minimal examples.
SAP's own research had already produced SAP-RPT-1, a relational pretrained transformer model. However, as SAP CTO Philipp Herzig stated in a press release, "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." The acquisition of Prior Labs provides a significant shortcut to becoming a leader in this space.
The combined capabilities aim to create models that can "grab data in the tables where it lives, combine that with language, reasoning, and domain knowledge," according to SAP. This integration is expected to power a new generation of AI features across SAP's product portfolio, including accounting, HR, procurement, and expense management.
SAP's AI Strategy and Agent Restrictions
In parallel with the acquisition, SAP is taking a strict stance on third-party AI agents. The company's latest API policy explicitly prohibits AI agents from accessing SAP products through its API unless they are part of "SAP-endorsed architectures." This move is seen as a defensive play as the tech industry rushes toward agentic AI — autonomous AI systems that can perform tasks across applications.
Authorized architectures include SAP's own Joule Agents (still in beta) and, notably, Nvidia's Agent Toolkit, which powers NemoClaw — an enterprise-ready, security-focused deployment of the OpenClaw agent framework. This means SAP customers will be allowed to use NemoClaw agents, but other agent technologies, including OpenClaw itself, are blocked unless explicitly approved.
This approach contrasts sharply with competitor Salesforce, which is adopting a more open strategy with its Headless 360 architecture, allowing enterprises to choose their own agents. Analysts suggest that SAP's restrictive policy may be risk-averse but could also limit flexibility for customers seeking to integrate best-of-breed AI solutions.
Prior Labs: A German AI Powerhouse in the Making
Prior Labs' co-founders bring deep expertise in machine learning. Frank Hutter is a renowned researcher in automated machine learning (AutoML) and held a professorship at the University of Freiburg. Noah Hollmann and Sauraj Gambhir contributed to the development of the TabPFN architecture, which builds on the concept of prior-data fitted networks. The startup's approach allows models to be trained on synthetic data from a prior distribution, enabling strong out-of-the-box performance on unseen tables.
The new AI lab will operate as an independent unit under the SAP umbrella, with a mandate to "maintain research velocity while SAP provides long-term investment and a direct path to productization." This structure is designed to preserve the startup's culture and speed, a critical factor in the fast-moving AI landscape. The founders celebrated the deal on social media, with Hutter posting that Prior Labs aims to become "a globally-leading frontier AI lab for structured data — in Europe, in the open."
The acquisition also positions SAP to compete with other enterprise AI players, including those backed by major cloud providers. By building a dedicated lab focused on structured data, SAP hopes to differentiate itself from general-purpose AI offerings. The company has previously invested in generative AI startups such as Anthropic, Aleph Alpha, and Cohere (the latter two now planning a merger). These investments, combined with the Prior Labs acquisition, signal a comprehensive strategy to capture value across the AI stack.
Market and Industry Reaction
Following the announcement, SAP's stock traded slightly upwards, suggesting investor optimism about the deal. However, analysts caution that the €1 billion investment over four years is substantial and will require careful execution. The SaaSpocalypse — a term used to describe the valuation downturn in cloud software companies — has put pressure on all enterprise software vendors to demonstrate AI-driven growth.
Prior Labs' exit is seen as a bright spot for the European startup ecosystem. Germany, which has struggled to produce tech giants compared to the US or China, now boasts one of the largest venture outcomes in its history. Balderton's James Wise noted that the deal validates the potential of German AI research and could spur further investment in the region.
The open-source community has reacted positively, as SAP committed to keeping Prior Labs' models freely available. This move helps SAP build goodwill with developers and researchers, while also ensuring that its models benefit from community contributions. However, some observers worry that the independent operation of the lab could face pressure to prioritize commercial interests over open-source principles over time.
As the enterprise AI landscape evolves, SAP's bold move to acquire Prior Labs and enforce strict agent policies underscores its determination to shape the future of business software. With a dedicated lab, a focus on structured data, and a clear stance on AI agent governance, the company is placing a massive bet that its approach will pay off in the post-SaaSpocalypse era.
Source: TechCrunch News