DataSnipper – Excel-Native Agentic Platform for Audit & Finance | Quasa.io

#Quasa #QUA #DataSnipper

DataSnipper is an Excel-native agentic platform for audit and finance. It lets teams snip evidence from PDFs and scans straight into workpaper cells, match documents at scale, and run multi-step procedures with AI agents while every result stays linked to the source. Founded in Amsterdam in 2017, it is used by all Big Four firms, Fortune 500 finance teams, and hundreds of thousands of professionals. Core tools cover Text, Validation, Exception, Sum, and Table Snips, Document Matching, DocuMine, AI Extractions, Excel Agents, Disclosure Agents, and Alwin for end-to-end procedures. Humans review and sign off; the trail is built for inspection, not a black-box chatbot.

𝐂𝗢𝗥𝗘 𝗦𝗧𝗥𝗘𝗡𝗚𝗧𝗛𝗦
• Stays inside Excel, so teams do not leave the workpaper
• Clickable Snips create a source-linked audit trail
• Document Matching and version checks cut manual cross-referencing
• Agents and DocuMine handle extraction and multi-step procedures
• Human review and sign-off stay in the loop
• SOC 2-style controls and no-training-on-customer-data posture  

𝗜𝗗𝗘𝗔𝗟 𝗙𝗢𝗥
External audit, internal audit, and finance teams that already live in Excel and want to shorten tests of detail, revenue testing, disclosure checks, and evidence collection before busy season.

𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦
• Trusted by Big Four firms and large corporate finance teams
• Snips, matching, and Financial Statement Suite for tickmark-style work
• DocuMine and AI Extractions for document sets across languages
• Excel Agents and Alwin for complete procedures with review workflows
• UpLink-style client evidence collection on supported plans
• Reported large productivity savings across audit and finance workflows  

𝗣𝗢𝗧𝗘𝗡𝗧𝗜𝗔𝗟 𝗖𝗢𝗡𝗦𝗜𝗗𝗘𝗥𝗔𝗧𝗜𝗢𝗡𝗦
• Enterprise licensing is real budget, not a casual seat
• Agents accelerate evidence work; they do not replace professional judgment
• Output quality still depends on source documents and firm methodology
• Not a substitute for client inquiry, site visits, or edge-case testing
• Fluent reports can still miss context that only a human reviewer catches  

𝗢𝗩𝗘𝗥𝗔𝗟𝗟 𝗩𝗘𝗥𝗗𝗜𝗖𝗧
4.4/5 stars. Use DataSnipper as the evidence co-pilot inside the workpaper. Let Snips and agents clear the mechanical load, then spend reviewer time on exceptions, estimates, and conclusions that still need a signature. Do not treat an automated workpaper as a finished audit. Earn 1 QUA reward by reviewing on Quasa.io too!

𝗚𝗘𝗧 𝗦𝗧𝗔𝗥𝗧𝗘𝗗: https://quasa.io/projects/datasnipper