SINGAPORE - Media OutReach Newswire - 11 May 2026 - SNP SE, a leading provider of software for AI-enabled digital transformation, automated data migration, and data management in the SAP environment, has established a joint venture with Structify, a New York based AI-native Services-as- Software company that develops platform-based solutions for extracting, contextualizing, and processing enterprise data. The new entity, Oros Data LLC, is jointly owned by the partners and focuses on the development and application of AI-based solutions for processing large volumes of unstructured enterprise data.

Together, SNP and Structify aim to bring AI-enabled data processing into the core of SAP transformation projects. According to industry analysts, unstructured data accounts for around 80% of enterprise information. This includes critical data such as contracts, sensitive HR records, IT-related documents, or customer complaints, which are often not readily accessible or processable. In the context of M&A transactions, insufficient handling of this data can create significant costs as well as operational and compliance risks for both buyers and sellers. In a first step, SNP integrates these capabilities into its Kyano platform particularly for M&A scenarios.

"Improper processing of unstructured data greatly increases the risks in M&A and can erode as much as 10% of the deal value. Customers have chosen SNP over the last 30 years to accelerate and de-risk their most critical transactions. We are excited to deliver this new AI-enabled capability based on our decades of experience to further streamline and safeguard our customers' M&A," says Steele Arbeeny, CTO of SNP North America.

"Unstructured data represents a significant share of the information required to run a business. Our goal is to make this data usable in M&A transactions while ensuring that sensitive information such as trade secrets and personal data is protected," comments Structify CEO Alex Reichenbach. "This collaboration provides a framework to apply these capabilities in large-scale transformation projects."