In a strategic move to cement its position in enterprise artificial intelligence, Germany’s SAP SE has announced its intention to acquire Prior Labs, an 18-month-old AI startup based in Freiburg, Germany. The deal, pending regulatory approval, includes a planned investment of €1 billion (approximately $1.16 billion) over the next four years to transform the startup into a dedicated AI lab for structured data. The acquisition price itself was not disclosed, but sources indicate it was a cash-heavy deal exceeding half a billion dollars upfront for the founders — Frank Hutter, Noah Hollmann, and Sauraj Gambhir.

Prior Labs specializes in tabular foundation models (TFMs), a class of AI models designed to make predictions from data stored in tables and databases. This focus on structured data aligns perfectly with SAP’s core business, as its widely used software for accounting, HR, procurement, and expense management relies heavily on database-driven operations. SAP’s CTO, Philipp Herzig, emphasized that the company recognized early on that the greatest untapped opportunity in enterprise AI was not large language models but AI built for structured data that runs the world’s businesses.

The Details of the Acquisition

Prior Labs was founded just 18 months ago by a trio of researchers and entrepreneurs. Frank Hutter, a professor at the University of Freiburg and a leading figure in automated machine learning, serves as CEO. Noah Hollmann and Sauraj Gambhir bring expertise in deep learning and enterprise software, respectively. The startup’s TabPFN model series has gained significant traction in the developer community, with over three million downloads of its open-source models. In a blog post, the founders expressed excitement about the acquisition, noting that SAP has committed to maintaining the open-source versions of their models while providing a path to productization across SAP’s portfolio via SAP AI Core and SAP Business Data Cloud, as well as the agentic layer with Joule.

SAP’s investment is not just about acquiring technology; it’s about building a globally-leading frontier AI lab for structured data in Europe, as Hutter declared on social media. The lab will operate as an independent unit to ensure research velocity while benefiting from SAP’s long-term investment and integration capabilities. This approach mirrors the strategy of other tech giants that have acquired promising AI startups and nurtured them into internal research powerhouses.

The acquisition comes at a time when SAP’s stock has faced pressure due to the so-called “SaaSpocalypse,” a downturn in the software-as-a-service sector. By doubling down on AI, SAP aims to reverse its fortunes and maintain its competitive edge in a market increasingly dominated by agentic AI technologies. CFO Dominik Asam noted that the company is focused on how quickly it can “embark on these technologies in our R&D portfolio to keep the relative economies of scale advantage.”

The NemoClaw Authorization

In parallel with the acquisition, SAP has updated its API policy to strictly control which AI agents can access its products. According to a press release and subsequent reports, SAP prohibits AI agents from accessing its products through its API unless they are part of “SAP-endorsed architectures.” This policy effectively blocks OpenClaw and any other agent technology that SAP has not explicitly authorized. The only currently authorized architectures include SAP’s own Joule Agents (still in beta) and Nvidia’s Agent Toolkit, which is the foundation for NemoClaw — an enterprise-ready, security-focused deployment of OpenClaw. This means SAP customers can use NemoClaw agents, while other agentic frameworks are barred.

This approach stands in stark contrast to rival Salesforce, which, under its new Headless 360 architecture, allows enterprises to choose their own agents, including OpenClaw. SAP’s more restrictive policy reflects its focus on security and control, particularly as agentic AI becomes more prevalent in enterprise environments. The company’s press department declined to comment further, but the API policy speaks for itself.

Background and Industry Context

The acquisition of Prior Labs is part of a broader pattern of SAP’s investments in AI. In 2023, the company backed OpenAI rival Anthropic, as well as Aleph Alpha and Cohere, which now intend to merge to form “a global AI powerhouse.” SAP also developed its own relational pretrained transformer model, SAP-RPT-1. However, the Prior Labs deal represents a significant shortcut in the direction of tabular AI, which Herzig believes is the greatest untapped opportunity in enterprise AI.

The startup 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 exit is particularly notable because Prior Labs was founded only a year and a half ago, demonstrating the rapid pace of AI consolidation in Europe.

Meanwhile, the broader AI landscape is seeing a flurry of activity. The SaaSpocalypse has forced incumbent enterprise software companies to rethink their strategies, and AI is both a threat and an opportunity. SAP’s stock is currently trading slightly upward on the news, indicating investor optimism about the acquisition and the clear stance on agent authorization. The company’s ability to integrate Prior Labs’ technology while navigating the complex world of agentic AI will be closely watched by industry analysts.

What This Means for the Enterprise

For enterprises using SAP’s suite of products, the acquisition of Prior Labs promises to enhance data analytics and prediction capabilities. TFMs can grab data directly from tables, combine it with language, reasoning, and domain knowledge, and then generate actionable insights. This could streamline everything from financial forecasting to supply chain management. SAP also pledged that Prior Labs will maintain open-source versions of its models, allowing developers outside the SAP ecosystem to continue benefiting from the technology.

The authorization of NemoClaw agents also provides a clear path for enterprises that want to deploy agentic AI within SAP’s environment. Nvidia’s Agent Toolkit is designed for security and enterprise readiness, making it a natural fit for SAP’s cautious approach. Other agent frameworks will have to wait for official endorsement, but the market may see more approvals in the future as the technology matures.

In summary, SAP is betting big on structured data AI and taking a defensive posture against unauthorized agents. The Prior Labs acquisition and the NemoClaw authorization are two sides of the same coin: SAP wants to control the AI narrative within its ecosystem while simultaneously building world-class AI capabilities in-house. The company’s stock performance in the coming months will reveal whether this bet pays off.

Source: TechCrunch News