Datanem's answer:
Datanem is a UK-based startup founded by Alexander Green. The founding insight is simple but sharp: every organisation sits on folders full of documents with repeating structures: invoices, dispatch notes, purchase orders, lab results; someone, somewhere, is still retyping that data by hand.
The product was built around a core observation about how document processing actually fails in the real world. Most tools assume your documents fit a template. But in practice, paperwork varies. Suppliers format invoices differently, forms change over time, and scans come out crooked. Datanem's approach flips this: instead of forcing your documents into a rigid template, it reads what you actually have and proposes a table to match.
The other insight? Silent failure is the enemy. Traditional extraction tools drop anything that doesn't fit the template and never tell you. Datanem was built to surface those omissions explicitly, listing values it saw but couldn't file, showing how many documents carried each one, and offering to add the column. This transparency, letting you check a handful of flagged cells instead of all of them, is a deliberate design choice born from watching operations teams waste hours verifying data they assumed was complete.
From day one, the product was also built with GDPR in mind: EU-only storage, automatic 30-day deletion, and a strict policy of never using customer documents or extracted data for model training
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