Transformation World 2026 · Structify
Around 80% of enterprise data is unstructured — the contracts, emails, and documents that most transformation tools simply can’t touch. Structify CEO Alex Reichenbach explains why that gap has quietly undermined M&A for years: in a divestiture, the goal is value preservation, yet the new entity was often left without its critical documents, buried under everything, or dependent on painfully slow manual review. He shares memorable examples, including a company that hired someone full-time just to field phone requests for old documents.
“An M&A is the one moment all of a company’s information funnels through a single point — that’s when the data foundation has to be better than ever.”
The new SNP–Structify joint venture targets exactly that moment. By applying AI with semantic understanding — not brittle keyword filters — the solution processes vast unstructured corpora at scale, dramatically raising the odds of a successful divestiture. Paired with clean, structured SAP data, Reichenbach argues, a divested entity can emerge not just intact but more valuable than before, ready to build custom AI applications on a solid, distilled foundation.
About the Guest
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Alex ReichenbachCo-Founder & CEO, Structify Alex Reichenbach is co-founder and CEO of Structify, the Brooklyn-based “AI data team” that turns unstructured web and document data into structured, usable datasets through natural language. A Yale-trained computer-vision researcher and former robotics engineer, he raised $4.1M from Bain Capital Ventures and 8VC to tackle the enterprise data bottleneck. At Structify, he is now applying AI to the roughly 80% of enterprise data that is unstructured — a challenge at the heart of the new SNP–Structify joint venture for M&A. |
