SAP, the European enterprise software heavyweight, is making a bold bet on structured data AI while simultaneously drawing a line in the sand on agentic technology. On Monday, the company announced its intention to acquire Prior Labs, a German startup founded just 18 months ago, for an undisclosed amount. 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)—AI models designed to make predictions from data stored in tables and databases.
The acquisition comes at a turbulent time for SAP, whose stock has dropped significantly in 2026, partly due to the so-called 'SaaSpocalypse'—a downturn in the SaaS sector driven by macroeconomic pressures and shifting investor sentiment. For a giant incumbent like SAP, AI represents both a threat and an opportunity. As CFO Dominik Asam told CNBC in January, 'It’s all about how quickly [we can] as SAP actually also embark [on] these technologies in our R&D portfolio to keep the relative economies of scale advantage.'
Prior Labs: A Rapid Rise in Tabular AI
Prior Labs was founded by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, with a mission to build AI that truly understands structured data—the kind that powers enterprise resource planning (ERP), accounting, HR, and procurement systems. Unlike large language models (LLMs) that excel at processing unstructured text, tabular foundation models are optimized for the rows and columns that dominate business databases. Prior Labs' TabPFN model series has gained significant traction among developers, with over three million downloads of its open-source versions.
The startup had previously raised about $9.3 million in a pre-seed round led by Balderton Capital in February 2025—a relatively modest amount compared to competitors. For comparison, Fundamental AI emerged from stealth with a $255 million Series A the same month. Despite this, Prior Labs' technology proved compelling enough for SAP to offer a healthy exit. Sources told Pathfounders that the deal was 'almost all cash,' with well over half a billion dollars in cash up front for the founders. SAP declined to disclose the exact acquisition price.
Strategic Rationale: Filling a Gap in Structured Data AI
SAP’s interest in Prior Labs reflects a growing recognition that the most valuable enterprise AI opportunities may lie not in generative chatbots but in models that can reason over the vast troves of structured data that underpin business operations. '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,' said SAP CTO Philipp Herzig in a statement.
The company had already developed its own relational pretrained transformer model, SAP-RPT-1, and invested in generative AI companies including OpenAI rival Anthropic, as well as Aleph Alpha and Cohere (the latter two now intend to merge). But the Prior Labs acquisition provides a significant shortcut, giving SAP immediate access to a proven TFM architecture and a talented team. In a blog post, the Prior Labs founders promised to maintain the open-source versions of their models, stating that the new lab 'will operate as an independent unit to ensure research velocity while SAP provides long-term investment and a direct path to productization across the SAP portfolio.'
Agentic AI: Open vs. Controlled Ecosystems
In parallel with the acquisition, SAP is taking a hard line on which AI agents can access its products. The company has updated its API policy to 'prohibit' AI agents from using its interfaces unless they are built on 'SAP-endorsed architectures.' This effectively blocks OpenClaw and any other agent technology not explicitly authorized. The Information first reported the policy change, and SAP’s press department confirmed it when reached for comment.
The authorized architectures include SAP’s own Joule Agents (still in beta), which allow customers to create custom agents. More notably, Nvidia announced in March that SAP’s Joule supports Nvidia’s Agent Toolkit—software for managing agents that serves as the foundation for Nvidia’s enterprise-ready, security-focused deployment method for OpenClaw, known as NemoClaw. As a result, SAP customers will be authorized to use NemoClaw agents within the SAP ecosystem.
This approach stands in stark contrast to that of Salesforce, another incumbent caught in the SaaSpocalypse. Salesforce has adopted a more open strategy with its Headless 360 architecture, allowing enterprises to choose their own agents, including OpenClaw. SAP’s decision to restrict access underscores its desire to maintain control over its platform and ensure security and compliance—a critical concern for the large enterprises that form its customer base.
The Opportunity Ahead: A New Frontier AI Lab for Structured Data
With SAP’s backing, Prior Labs hopes to become a 'globally-leading frontier AI lab for structured data—in Europe, in the open,' as founder and CEO Frank Hutter celebrated on X. The vision is to create TFMs that can not only process tables but also combine that capability with language understanding, reasoning, and domain knowledge. Such models could revolutionize enterprise applications by enabling predictive analytics, anomaly detection, and automated decision-making directly on the data where it lives.
SAP plans to integrate Prior Labs’ technology across its portfolio via SAP AI Core and SAP Business Data Cloud, with the agentic layer powered by Joule. For a company whose widely used software products for accounting, HR, procurement, and expense management rely on its database, the potential is enormous. The investment also positions SAP to compete more effectively with cloud rivals like Microsoft, Google, and Amazon, all of which are pouring resources into enterprise AI.
Balderton partner James Wise called the acquisition 'one of Germany’s biggest ever venture outcomes.' At the same time, SAP’s stock is currently trading slightly upwards, signaling that investors may see the move as a positive step in navigating the AI-driven disruption of the enterprise software market. Whether the Prior Labs bet pays off will depend on how quickly the lab can deliver production-ready models—and whether SAP can strike the right balance between openness and control in the agentic AI era.
Source: TechCrunch News