# DataSnipper

**Source:** https://www.startuphub.ai/startups/datasnipper
**Profile type:** Startup

> DataSnipper automates audit and finance procedures by extracting, validating, and documenting data directly in Excel.

## About

DataSnipper is an intelligent automation platform that empowers finance professionals and auditors to extract, validate, and document financial data directly within Microsoft Excel. It uses AI to automate repetitive tasks like matching, tying, and recalculating, significantly improving efficiency, accuracy, and compliance in audit and financial processes for enterprises.

## Key facts

- **Slug:** datasnipper
- **Website:** https://www.datasnipper.com
- **Location:** Amsterdam, Netherlands
- **Operating status:** Active
- **Total funding:** $230M
- **Sectors / tags:** Audit Automation, Financial Automation, Data Extraction, Document Processing, Robotic Process Automation, Enterprise Software, Fintech, Accounting Software, Workflow Automation, AI Tool, Generative AI, Computer Vision, Optical Character Recognition
- **Social:**
  - LinkedIn: https://www.linkedin.com/company/datasnipper
  - Twitter: https://x.com/DataSnipper

## Frequently asked

### What does DataSnipper do?

DataSnipper is an intelligent automation platform that empowers finance professionals and auditors to extract, validate, and document financial data directly within Microsoft Excel. It uses AI to automate repetitive tasks like matching, tying, and recalculating, significantly improving efficiency, accuracy, and compliance in audit and financial processes for enterprises.

### What is DataSnipper's valuation?

StartupHub estimates DataSnipper's effective valuation at $725 (range $507 to $942, 31% confidence), based on comparable companies in the sector.

### How much funding has DataSnipper raised?

DataSnipper has raised a total of $230M in funding.

### Where is DataSnipper headquartered?

DataSnipper is headquartered in Amsterdam, Netherlands.

### What industry does DataSnipper operate in?

DataSnipper operates in Audit Automation, Financial Automation, Data Extraction, Document Processing, Robotic Process Automation, Enterprise Software.

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