SNP SE has established a joint venture with New York-based Structify to develop AI-based tools aimed at processing large volumes of unstructured enterprise data, a category the companies say represents about 80% of typical corporate data holdings.
The new entity, Oros Data LLC, will focus on developing and applying AI-enabled processing for unstructured data in enterprise contexts, including SAP transformation projects and mergers and acquisitions (M&A), according to the announcement distributed by Media OutReach Newswire on 11 May 2026.
The partners said the initial integration work will extend SNP’s Kyano platform to handle unstructured data in M&A scenarios. The release cited examples such as contracts, HR records, IT documents and customer complaints, and argued that limited access to these materials can contribute to higher costs and increased operational and compliance risk during transactions.
“Improper processing of unstructured data greatly increases the risks in M&A and can erode as much as 10% of the deal value,” said Steele Arbeeny, CTO of SNP North America, in a statement. Structify CEO Alex Reichenbach said the collaboration aims to make unstructured data usable in M&A transactions while protecting sensitive information, including trade secrets and personal data.
SNP reported revenues of around EUR 297 million in the 2025 fiscal year and said it has more than 3,000 customers across more than 80 countries.
