SNP advances its AI capabilities for unstructured data

Unstructured data represents around 80% of the enterprise data footprint and remains largely inaccessible to traditional transformation tools

SNP and New York based Structify establish joint venture company Oros Data LLC, focused on AI-enabled processing of unstructured data at scale

The new solution extends SNP’s Kyano® platform to process unstructured data in M&A transactions, enabling faster time to value, reduced operational and compliance risk, and better-informed decisions

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.

From left: Taichi Kato, Jens Amail (CEO SNP), Steele Arbeeny (CTO SNP NA), Alex Reichenbach (CEO Structify), Alex Goldstein, Dominik Wittenbeck (CTO SNP Group), Hovik Minasyan, Laura Garcia and Nico Marin Gamboa

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.”

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