Enterprise software giant SAP has made a bold move to secure its place in the rapidly evolving AI landscape. On Monday, the German company announced its intention to acquire Prior Labs, a young AI startup based in Freiburg, Germany, 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 to grow it into an AI lab focused on structured data — the tables and databases where enterprise information typically sits.
The Acquisition Details
SAP declined to disclose the upfront acquisition cost, but sources told industry observers that the deal was a healthy exit for the startup's founders. The transaction is described as "almost all cash," with well over half a billion dollars in cash up front for Frank Hutter, Noah Hollmann, and Sauraj Gambhir — the trio behind Prior Labs. Founded just 18 months ago, the startup has rapidly gained traction with its TabPFN model series, which has been downloaded over three million times as open source software.
Prior Labs specializes in tabular foundation models (TFMs) — AI models designed to make predictions from data that resides in tables and databases. This is a critical niche for enterprises, where most business information is stored in structured formats like spreadsheets and relational databases. Unlike large language models (LLMs) that excel at processing text, TFMs are built from the ground up for numbers, categories, and relationships found in enterprise data. SAP's CTO Philipp Herzig stated, "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."
Strategic Context: The SaaSpocalypse and Agentic AI
SAP's stock has dropped significantly in 2026, partly due to what industry analysts call the "SaaSpocalypse" — a downturn affecting many software-as-a-service companies as customers tighten budgets and demand more value. Meanwhile, the tech industry is marching rapidly toward agentic AI — autonomous systems that can perform tasks, make decisions, and interact with other software. For a giant incumbent like SAP, this is both a threat and an opportunity. 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."
The company has been investing in generative AI for several years. In 2023, SAP backed OpenAI rival Anthropic, as well as European startups Aleph Alpha and Cohere, which now intend to merge to form "a global AI powerhouse." It also developed its own relational pretrained transformer model, SAP-RPT-1. However, the Prior Labs acquisition is a significant shortcut to creating a dedicated lab for structured data AI.
API Policy: Clamping Down on Unauthorized Agents
In parallel with the acquisition, SAP has clarified its stance on third-party AI agents. The company's latest API policy explicitly prohibits AI agents from accessing its products through its API unless they are part of "SAP-endorsed architectures." This means that OpenClaw — a popular open-source AI agent framework — is effectively blocked from interacting with SAP systems unless customers have explicit authorization. The Information was first to report on this restrictive policy.
Authorized architectures include SAP's own Joule Agents, currently in beta, which allow customers to create their own agents within the SAP ecosystem. Additionally, Nvidia announced in March that SAP's Joule now supports Nvidia's Agent Toolkit, which is the foundation for Nvidia's enterprise-ready, security-focused deployment method for OpenClaw, called NemoClaw. Therefore, SAP customers will be authorized to use NemoClaw agents, providing a tightly controlled gateway for agentic AI within the ERP giant's walls.
Prior Labs: A Rising Star in Tabular AI
Prior Labs' TabPFN model series has experienced remarkable adoption among developers. The models can take a table of data, perform inference, and generate predictions without requiring extensive fine-tuning — a breakthrough for enterprise AI. The startup had previously raised approximately $9.3 million in a pre-seed round led by Balderton Capital in February 2025. That was more than competitor Neuralk-AI but far less than Fundamental, which emerged from stealth with a $255 million Series A in the same month.
In a blog post announcing the deal, Prior Labs' founders emphasized that the open source versions of their models will be maintained under SAP's ownership. The lab will operate as an independent unit to preserve research velocity, while SAP provides long-term investment and a clear path to productization across the SAP portfolio — including SAP AI Core, SAP Business Data Cloud, and the agentic layer via Joule.
The founders expressed hope that with this "massive boost" from SAP, Prior Labs can become a "globally-leading frontier AI lab for structured data — in Europe, in the open." Balderton partner James Wise called the acquisition "one of Germany's biggest ever venture outcomes." SAP's stock is currently trading slightly upward following the news.
Comparison with Salesforce
SAP's restrictive agent policy stands in stark contrast to competitor Salesforce, which has taken a more open approach. Salesforce, also caught in the SaaSpocalypse, is allowing enterprise customers to choose their own AI agents, including OpenClaw, through its new Headless 360 architecture. This flexibility may appeal to customers who want to avoid vendor lock-in, but SAP's position offers tighter security and control — a trade-off that many large enterprises may prefer.
Broader Implications for European AI
The acquisition underscores Europe's growing ambition in AI infrastructure. While the continent has struggled to produce mega-cap tech companies, it has a strong tradition of research and deep tech startups. Prior Labs' founders are academics with deep expertise in machine learning: Frank Hutter is a well-known researcher in automated machine learning (AutoML), and his team has published influential papers on tabular transformer models. The €1 billion commitment from SAP is a major vote of confidence in European AI innovation, potentially creating a new hub for structured data AI in Freiburg.
Moreover, the timing aligns with broader industry trends. By the end of 2025, OpenAI's COO had acknowledged that "we have not yet really seen AI penetrate enterprise business processes." This highlights the gap that TFMs aim to fill. While LLMs are powerful for language tasks, most enterprise value lies in structured data — inventory, financial transactions, customer records, supply chain metrics. SAP's bet on Prior Labs is a bet that the next wave of AI-driven productivity will come from models that truly understand tables.
As for the agentic AI race, SAP's strategy is clear: maintain tight control over its ecosystem while selectively opening doors to trusted partners like Nvidia. The company is not blocking agents outright but rather curating them — ensuring that any AI agent interacting with SAP systems meets its security and architectural standards. This approach may slow down adoption but could also protect SAP from vulnerabilities introduced by unvetted third-party agents.
In the long run, the success of Prior Labs' investment will depend on its ability to produce TFMs that seamlessly integrate with SAP's vast product suite, covering accounting, HR, procurement, and expense management. If the lab can combine tabular data with natural language reasoning and domain knowledge — as the founders envision — it could redefine how enterprises derive insights from their data. Until then, the industry watches to see whether SAP's calculated gamble pays off in an increasingly agentic world.
Source: TechCrunch News