SAP aims to acquire Reltio – company data to become AI-ready
With the acquisition of Reltio, SAP aims to unify SAP and non-SAP data to strengthen its AI platform.
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Walldorf-based software group SAP plans to acquire data specialist Reltio. The company from Redwood Shores, California, specializes in cloud-native Master Data Management (MDM) – software that unifies master data from various sources and makes it usable for applications. Neither side disclosed financial details of the transaction.
As SAP explained in a press release, the acquisition is intended to strengthen the group's position as a provider of business AI. SAP board member Muhammad Alam stated: “Artificial intelligence cannot reach its full potential when data is distributed across business units, platforms, and domains, disconnected from each other or lacking the necessary context.” Reltio is a “natural addition” to SAP. The transaction is expected to close in the second or third quarter of 2026, subject to regulatory approvals.
Reltio was founded in 2011 by Manish Sood. Reltio's platform enables the creation of a so-called “Golden Record” from distributed datasets – a unified dataset with complete context. According to Reltio, a number of Fortune 500 companies are among its customers.
Integration into SAP's Business Data Cloud
SAP plans to integrate Reltio technology into its Business Data Cloud (BDC). This will make both SAP and non-SAP data available for its in-house AI agent, Joule. SAP expects this to enable real-time workflows for its agent-based AI, such as procurement agents that automatically assess supplier risks. Reltio is also expected to remain available as a standalone product.
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In a blog post, Reltio founder Sood emphasized that the merger offers the opportunity to achieve its goal more quickly: “AI needs trusted context that is open and interoperable across the heterogeneous IT landscapes our customers run..”
In the MDM market, Reltio competes with providers such as Informatica, Profisee, Semarchy, and Boomi. For SAP customers, the acquisition is likely to become particularly relevant if they want to make data from heterogeneous IT landscapes usable for AI applications.
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