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DataSnipper

DataSnipper

AI audit automation platform for auditors

PrivateGrowthLLM / NLPEMEA
Founded2017
Headquarters🇳🇱 Amsterdam
Employees201-500
Total Raised$100M
Last FundedFeb 2024

About

DataSnipper builds AI-powered audit automation that plugs into Excel, used by 400K+ auditors across 125 countries including all Big Four firms. Reached unicorn status in early 2024 with a $100M Series B from Index Ventures at $1B valuation. Revenue grew 150% in 2023 and was named the fastest-growing company in the Netherlands two years running. Delivered $1.4B in productivity savings in 2025. Partnered with Microsoft to launch AI agents for audit and finance.

Key Facts

  1. [1]Founded: Founded in 2017 in Amsterdam, Netherlands.
  2. [2]Funding: Total funding: $100M. Last round: Feb 2024. Stage: Growth.
  3. [3]Customers: Key customers include KPMG, PwC, Deloitte.
  4. [4]Employees: Employee count: 201-500.
  5. [5]Website: Official website: datasnipper.com.
  6. [6]AI Technology: Core AI/ML technologies: LLM / NLP.
  7. [7]Region: Region: EMEA (Netherlands).

Founder

T

Tim Wilschut

Co-founder & CEO

Key Customers & Partners

KPMGPwCDeloitte

AI Technology

LLM / NLP

Large language models for NLP, chat, document understanding, and text generation

Classification

Details

Last FundingFeb 2024
Funding RoundSeries B
Age9 years
Country🇳🇱 Netherlands

Frequently Asked Questions

What is DataSnipper?

DataSnipper builds AI-powered audit automation that plugs into Excel, used by 400K+ auditors across 125 countries including all Big Four firms. Reached unicorn status in early 2024 with a $100M Series B from Index Ventures at $1B valuation. Revenue grew 150% in 2023 and was named the fastest-growing company in the Netherlands two years running. Delivered $1.4B in productivity savings in 2025. Partnered with Microsoft to launch AI agents for audit and finance. DataSnipper is classified in the Enterprise Finance segment at the Automation layer of the financial AI stack.

Who founded DataSnipper?

DataSnipper was founded by Tim Wilschut (Co-founder & CEO) in 2017 in Amsterdam, Netherlands.

How much funding has DataSnipper raised?

DataSnipper has raised $100M in total funding, placing the company at the Growth stage. The most recent round closed in Feb 2024. Among 79 funded Enterprise Finance companies, DataSnipper ranks #30 by total capital raised. (Source: AIFI Map directory.)

What AI technology does DataSnipper use?

DataSnipper primarily leverages LLM / NLP technology. Large language models for NLP, chat, document understanding, and text generation. Within the Enterprise Finance segment, 17 companies use this technology.

What market segment does DataSnipper operate in?

DataSnipper operates in the Enterprise Finance and Risk & Compliance and Insurance market segments. AI enterprise finance companies are automating and enhancing the financial operations of businesses — from accounting and treasury management to financial planning, analysis, and corporate finance. The company also has a footprint in risk & compliance and insurance, reflecting its cross-functional approach to financial AI.

Where is DataSnipper headquartered?

DataSnipper is headquartered in Amsterdam, Netherlands. The company operates in the EMEA region. The team consists of 201-500 employees. Netherlands is home to 8 financial AI companies tracked by AIFI Map.

Who are DataSnipper's competitors?

Companies similar to DataSnipper in the Enterprise Finance space include Greenlite ($20M raised), Trumid ($722M raised), Pibit.ai ($8M raised), Puzzle ($67M raised), Pilot ($222M raised). These companies operate in related areas of financial AI: Greenlite focuses on ai agents that accelerate aml reviews. Trumid focuses on ai-powered fixed income trading platform. Pibit.ai focuses on agentic underwriting platform for carriers. (Based on AIFI Map classification data.)

What products does DataSnipper offer?

DataSnipper builds automation-layer solutions for the financial services industry. The company's core offering: AI audit automation platform for auditors. The platform is powered by LLM / NLP technology. Notable users include KPMG, PwC, Deloitte.