The founding story behind DataSnipper is almost aggressively practical. An auditor named Alwin described to friends Maarten Alblas, Jonas Ruyter and Kai Bakker how much time audit teams spent matching documents, checking evidence and moving data through Excel. The founders built software around that pain rather than around a fashionable technology category.
That choice proved powerful because Excel was already where auditors worked. Instead of asking firms to replace a core workflow, DataSnipper automated pieces of it inside the environment users trusted.
Distribution came from the profession itself
Audit is unusually suited to workflow software because tasks are repetitive, evidence-heavy and expensive in human hours. A tool that reliably cuts minutes from thousands of procedures can justify its cost quickly.
DataSnipper expanded through the Big Four and other accounting firms, eventually becoming used across a wide international footprint. The company says all four global Big Four networks use its technology.
Bootstrapped growth created leverage
The founders bootstrapped DataSnipper for roughly four years before bringing in Insight Partners. In 2024 a $100 million Series B led by Index Ventures valued the company at $1 billion.
As with Mollie, the sequencing matters. Institutional investors entered after the company had already demonstrated strong commercial pull. That gave DataSnipper more negotiating leverage and reduced dependence on continuous fundraising.
AI is expanding the original workflow
Under CEO Vidya Peters, DataSnipper has moved from individual automation tools toward agentic workflows that can execute larger portions of audit and finance procedures while preserving evidence and review trails.
That evolution remains anchored to the founders' original insight: enterprise AI wins when it removes specific work from an existing professional process, not when it asks professionals to reorganize their job around the technology.