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DataSnipper Named a CNBC Top Fintech Company 2026

DataSnipper News
PUBLISHED

July 23, 2026

Blog post featured
For the second year running, DataSnipper has been named to CNBC's World's Top Fintech Companies 2026, this year in the Enterprise Tech category.

Produced by CNBC in partnership with Statista, the list assessed more than 3,500 companies across 25,000 data points to recognize 500 fintech companies worldwide. Enterprise Tech is one of the industry's fastest-moving segments, covering the companies that build the technology financial institutions and businesses depend on, including finance process automation.

CNBC framed this year's list around a clear shift. AI is now reshaping the systems that monitor, verify, and move money, and that shift demands new infrastructure to keep companies safe, controlled, and compliant.

That is exactly the problem DataSnipper is built for. As AI agents for audit and finance take on more of the work, the professional has to stay in control, and every output has to trace back to its evidence.

A platform built for audit and finance workflows

DataSnipper builds an agentic platform purpose-built for audit and finance professionals.

The platform integrates directly into existing workflows and helps teams automate document-heavy procedures such as evidence collection, financial reconciliation, audit documentation, and disclosure verification. By reducing manual work and improving traceability, DataSnipper lets professionals focus on analysis and judgment rather than administrative tasks.

Today, the platform is used by more than 600,000 professionals across 2,000 organizations in 175 countries, including global accounting networks and enterprises across banking, manufacturing, and financial services.

How AI agents keep the professional in control

As audit and finance teams enter the AI era, the question is no longer whether AI belongs in the workflow. It is how to use it without losing control of the work.

DataSnipper's answer is human in the loop by design. AI agents take on high-volume tasks like evidence collection, document analysis, reconciliation, and disclosure verification. But the professional stays in the driver's seat, and every output traces back to the source evidence behind it. In a world where AI can produce answers faster than anyone can check them, that traceability is what makes the work trustworthy.

This is the infrastructure CNBC's Enterprise Tech category points to, the systems that keep financial work safe, controlled, and compliant as AI reshapes it.

Driving measurable impact

The shift toward agentic automation in audit and finance is already producing real results.

In 2025 alone, DataSnipper delivered an estimated $1.4 billion in productivity savings for customers worldwide. As organizations face growing regulatory complexity and larger volumes of financial data, tools that improve accuracy, efficiency, and traceability are becoming essential infrastructure for the industry.

Recognized in strong company

DataSnipper's inclusion places it alongside fintech leaders such as Stripe, PayPal, Visa, Mastercard, Adyen, Klarna, Deel, and Revolut.

For the audit and finance professionals who rely on DataSnipper every day, and for the team building it, back-to-back recognition on this list reflects a broader truth. As AI agents take on more of the work, the infrastructure that keeps people in control is becoming central to how financial work gets done.