Enterprise software giant SAP is making a major bet on structured-data AI, announcing its acquisition of German startup Prior Labs for an undisclosed sum. Pending regulatory approval, SAP plans to invest €1 billion (approximately $1.16 billion) into the business over the next four years, transforming it into a dedicated AI lab focused on tabular foundation models (TFMs). The move comes as SAP’s stock has declined significantly in 2026, partly due to the so-called “SaaSpocalypse” affecting the SaaS industry.
The Prior Labs acquisition
Prior Labs, founded just 18 months ago by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, has quickly gained traction with its TabPFN model series, which has been downloaded over three million times. The startup’s TFMs are designed to make predictions from data stored in tables and databases — a perfect fit for SAP’s enterprise software products used for accounting, HR, procurement, and expense management. Sources told Pathfounders that the acquisition is an “almost all cash” deal, with more than half a billion dollars in cash upfront for the founders.
SAP CTO Philipp Herzig noted that the company early on recognized that the greatest untapped opportunity in enterprise AI was not large language models, but AI built for structured data. Prior Labs’ acquisition provides a significant shortcut toward that goal, as its open-source models have already gained a strong developer following. In a blog post, the founders stated the lab will continue to maintain open-source versions while operating as an independent unit to maintain research velocity. SAP will provide long-term investment and a path to productization through SAP AI Core, SAP Business Data Cloud, and the agentic layer with Joule.
SAP’s strict agent policy
While SAP invests in AI, it is also playing defense against unauthorized AI agents. The company has blocked OpenClaw and any agent technology it has not explicitly authorized, as first reported by The Information. In response to inquiries, SAP’s press department referred to its latest API policy, which prohibits AI agents from accessing its products through its API except those that are “SAP-endorsed architectures.” Authorized architectures include SAP’s own Joule Agents (still in beta) and Nvidia’s Agent Toolkit, which is the foundation for Nvidia’s enterprise-ready NemoClaw agents. Thus, SAP customers may use NemoClaw but not vanilla OpenClaw.
This approach starkly contrasts with Salesforce, another incumbent caught in the SaaSpocalypse, which has allowed enterprises to choose their own agents — including OpenClaw — via its Headless 360 architecture. SAP’s CFO Dominik Asam told CNBC in January that the company’s focus is on how quickly it can incorporate these technologies into its R&D portfolio to maintain relative economies of scale advantage.
Background and strategic context
SAP has not been idle in the generative AI space. In 2023, it backed OpenAI rival Anthropic as well as Aleph Alpha and Cohere, which now intend to merge to form a global AI powerhouse. It also developed SAP-RPT-1, a relational pretrained transformer model. However, Prior Labs’ TabPFN series represents a more targeted approach for structured data, where most enterprise information resides. The lab will likely combine tabular data with language, reasoning, and domain knowledge to create more powerful enterprise solutions.
Prior Labs had previously raised $9.3 million in a pre-seed round led by Balderton Capital, making this exit one of Germany’s largest venture outcomes according to Balderton partner James Wise. In contrast, competitor Fundamental emerged from stealth with a $255 million Series A in February, underscoring the high stakes in the tabular AI space. SAP’s stock has ticked slightly upwards following the announcement, suggesting investor optimism.
The acquisition also signals SAP’s commitment to European AI leadership. Founder Frank Hutter celebrated the deal on X, expressing hope that Prior Labs, with SAP’s massive boost, can become a new globally-leading frontier AI lab for structured data — in Europe, in the open. The move aligns with broader European efforts to build independent AI capabilities, though SAP’s strict agent policy may limit flexibility for its customers.
As enterprise AI continues to evolve, SAP’s dual strategy of investing in cutting-edge tabular models while tightly controlling agent access reflects the delicate balance between innovation and security. The success of Prior Labs will depend on how quickly its models can be integrated into SAP’s vast portfolio and whether customers will accept the walled-garden approach to agents. With the SaaSpocalypse pressuring incumbents, SAP is betting that owning the AI layer for structured data will give it a durable competitive advantage.
Source: TechCrunch News