SAP agrees to acquire German AI startup Prior Labs

2026-05-04 · Source: Sifted · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Data Science & Analytics · Depth: Fundamental Awareness, quick

Summary

SAP has agreed to acquire Prior Labs, a Freiburg-based German AI startup specializing in tabular foundation models designed for analyzing business data in tables and spreadsheets. The acquisition, for an undisclosed sum, comes less than 15 months after Prior Labs' sole €9m funding round in February 2025. SAP plans to invest over €1bn in Prior Labs over the next four years to facilitate its global scaling, while the startup will maintain separate operations. This deal provides an exit for European VCs like Balderton Capital, Atlantic Labs, and XTX Ventures, along with angel investors including Robin Rombach and Thomas Wolf. Prior Labs, founded in 2024, focuses on enabling businesses to make predictions using structured data, an area SAP CTO Philipp Herzig identifies as the "greatest untapped opportunity in enterprise AI."

Key takeaway

For CTOs and AI Product Managers evaluating enterprise AI strategies, Prior Labs' acquisition by SAP highlights the growing importance of AI for structured data. Your focus should expand beyond large language models to include tabular foundation models, which promise to transform business intelligence and predictive analytics. Consider investing in solutions that can process and derive insights from your organization's vast stores of spreadsheet and database information.

Key insights

Tabular foundation models are poised to revolutionize structured business data analysis, mirroring LLMs' impact on unstructured data.

Principles

• Structured data represents a significant untapped enterprise AI opportunity.
• One-shot models can replace hand-tuned gradient-boosted trees.

In practice

• Apply tabular foundation models for business data predictions.
• Target spreadsheet and database data for AI initiatives.

Topics

• SAP Acquisition
• Prior Labs
• Tabular Foundation Models
• Enterprise AI
• Structured Data Analysis

Best for: CTO, Executive, AI Product Manager, Director of AI/ML, VP of Engineering/Data, Investor

Related on AIssential

• Relational Foundation Models for Enterprise Data [Jure Leskovec] - 768 — Relational Foundation Models leverage graph neural networks for in-context learning on raw multi-tabular data, enabling accurate predictions without explicit training.
• SAP Is Targeting The AI Data Control Plane — SAP's acquisitions of Dremio and Prior Labs aim to establish SAP BDC as the enterprise AI data control plane.
• [Webinar] TabH2O #2 Webinar Recording — Tabular Foundation Models simplify predictive analytics for structured business data by learning patterns across diverse tables.
• Towards Structured Data: LLMs from Prototype to Production — Deploy LLMs beyond chatbots for structured data, moving NLP projects from prototype to production.
• AI Models as a Commodity and Why Data Foundations Decide Who Wins - with Guillermo B. Vazquez of SAP — AI models are a commodity; robust data and process foundations are paramount for successful enterprise AI adoption.
• The brewing GenAI data science revolution — Foundation models are extending beyond text/image to transform tabular and time-series data analysis.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Sifted.