Scaling Europe: How DataSnipper Is Building an AI Platform for Audit and Finance
DataSnipper CEO Vidya Peters recently joined Scaling Europe with Seb Johnson to discuss how AI for audit and AI in finance are reshaping professional services, and why Europe continues to be a strong foundation for building global technology companies.
The conversation explored how DataSnipper applies intelligent automation and AI agents to audit workflows, how enterprise adoption happens in practice, and what it takes to scale a global AI platform from Amsterdam.
From manual processes to AI for audit
This gap is what led to DataSnipper.
As Vidya explains:
“We like to make the lives of auditors and finance teams just a little bit easier by taking the grunt work out of it and making the job fun again.”
How AI agents are changing audit and finance work
A central theme of the episode was the shift from task-level automation to agentic AI.
DataSnipper’s product evolution reflects this progression:
- Automating document extraction and cross-referencing
- Matching data and identifying anomalies
- Using generative AI to extract insights from complex documents
- Deploying AI agents to complete multi-step audit tasks
Vidya describes the impact in practical terms:
“Imagine you have a junior analyst on your team. You give them a set of routine tasks, and those tasks are completed instantly.”
Why bottom-up adoption matters in enterprise AI
“It is really important to go bottoms up, reaching the actual users and ensuring they get real value and time savings.”
Building a global AI company from Amsterdam
The discussion also addressed a common assumption that leading AI companies must be built in Silicon Valley.
Vidya sees Europe as a strategic advantage:
“Amsterdam is a fantastic city to be headquartered in. You have access to enormous tech talent, and the time zone is a real advantage.”
Product strategy at scale
When deciding what to build, DataSnipper applies a clear framework:
- How common is this problem across customers
- Are we well positioned to solve it effectively
“What would take us months to build, we can get a prototype out in weeks now.”
The result is an AI audit platform designed for repeatable, high-impact workflows rather than isolated use cases.
Scaling AI for audit without dependency on fundraising
Despite strong interest in AI-driven finance platforms, Vidya emphasized that DataSnipper’s growth is not dependent on continuous fundraising.
“We have always been profitable and well-capitalized. Our fundraise was about bringing in the right thought partners.”
A European perspective on AI and scale
Vidya closed with a message for European founders building AI companies:
“Distance is not a barrier. Technology has leveled the playing field.”
DataSnipper’s journey shows that AI for audit and AI in finance can be built and scaled globally from Europe, with the right focus on customers, product quality, and sustainable growth.
