WALLDORF — SAP SE (NYSE: SAP) today announced availability of the new TabPFN-3.5 model from Prior Labs, an SAP company.
Capture business-wide AI value with speed and confidence
This model marks the next leap in tabular AI, giving organizations access to unmatched tabular AI predictions on structured business data without model training or tuning. For SAP customers, TabPFN-3.5 Plus is now available in SAP AI Core.
Critical enterprise business decisions, such as cash flow forecasting, payment delays or supplier risk scoring, run on structured, tabular data. While LLMs excel at language and knowledge, tabular foundation models (TFMs) are purpose-built for structured data and can accurately predict business outcomes based on tabular data such as payment delays, supplier risks, upsell opportunities, customer churn risk and more.
With TabPFN-3.5, SAP customers can work with data as it exists in their systems. Missing values, mixed data types and inconsistent fields are handled by the model, returning accurate predictions without preprocessing. This newest model from Prior Labs’ family of tabular AI models uses in-context learning to make predictions from raw tabular data, handling columns with thousands of distinct values, such as product codes or customer identifiers, and mixed data types natively, without the trial-and-error configuration that traditional models require. TabPFN-3.5 Plus is the most accurate and scalable tabular foundation model available today, based on TabArena and BeyondArena, two external benchmarks designed to evaluate predictions over real-world data.
“Real-world data is rarely perfect. Datasets often contain complex relationships and varying conditions that make traditional machine learning difficult. TabPFN-3.5 is specifically built for these challenges, providing industry-leading accuracy and scalability for tabular data with less manual effort—making it the most effective tabular AI model in the industry to date,” said Philipp Herzig, Chief Technology Officer, SAP SE. “With TabPFN-3.5 and the SAP-RPT model family, customers get accurate predictions from labeled business data in minutes, with no training required. For us, tabular AI is not a supporting feature of the Autonomous Enterprise, it is the foundation.”
For more detailed information and to learn how to get started on SAP AI Core, see the SAP Community blog, and view the TabPFN-3.5 Technical Report.
SAP completed its acquisition of Prior Labs in July 2026, bringing one of the world’s leading TFM research teams into the SAP family. Prior Labs will continue to operate as an independent entity, with SAP having previously committed to invest more than €1 billion to scale it into a globally leading frontier AI lab for the structured data that underpins the world’s businesses.
Visit the SAP News Center. Get SAP news via LinkedIn and Bluesky.
Media Contact:
Alex Vaught, +1 (206) 678-5712, alex.vaught@sap.com, PST
SAP Press Room; press@sap.com
Subscribe to our newsletter to receive weekly news, stories and updates from the SAP News Center
This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of SAP’s 2025 Annual Report on Form 20-F.
© 2026 SAP SE. All rights reserved.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please see https://www.sap.com/copyright for additional trademark information and notices.
