Company breakdown · 2026-09-18

DataSnipper

DataSnipper provides an audit and finance automation platform centered on Excel. Its audit agents execute defined procedures, analyze documents, and return outputs with linked evidence for human review.

Emerging tierAudit AgentsPublic data only
2017
Founded
201 - 500
Employees
Amsterdam, Netherlands
Headquarters
Private, venture-backed
Ownership

What DataSnipper does

DataSnipper is a privately held Dutch software company that supplies an intelligent automation platform for audit and finance teams. Its core product is a locally installed Excel add-in, while optional services include OCR, DocuMine, Excel Agents, and other AI-enabled capabilities. DataSnipper documentation states that workbooks and client documents processed through the locally installed add-in remain on the user’s machine, subject to the configuration and use of optional services.

The company was founded in 2017 and is headquartered in Amsterdam. DataSnipper reported that its platform was used by more than 600,000 audit and finance professionals in 175 countries as of October 2025. It raised a $100 million Series B led by Index Ventures on February 1, 2024, at a reported $1 billion valuation; the company also disclosed an earlier investment from Insight Partners in September 2022. Source Source

The agentic products

Documented from public materials · these are the products the AMS scores

Excel Agents

Shipping since 2025

Excel Agents run directly in DataSnipper’s Excel add-in. DataSnipper says they can execute complete audit procedures, including extracting information from source documents and producing structured, review-ready results with linked evidence. Launch announcement Workflow documentation

Disclosure Agents

Shipping since 2025

Disclosure Agents support disclosure reviews by comparing checklists with financial statements. DataSnipper says the product supports IFRS, GAAP, and other standards, can use firm-specific checklists or imported templates, and links requirements to supporting evidence. Launch announcement

DocuMine

DocuMine

DocuMine is DataSnipper’s AI document-analysis product. Users ask questions across imported documents, receive suggested answers, and can review references to the relevant source text, numbers, or clauses. DataSnipper announced the product with its UpLink acquisition in October 2024. Announcement Product documentation

Recent moves

2024 - 2026 ·gold = a monetization move· grey = product or capital

Government contract2026-06-08

DataSnipper announced that it had been awarded a Texas Department of Information Resources contract through Carahsoft, making its technology available through the DIR Cooperative Contracts Program. Source

AI agent launch2025-10-01

DataSnipper launched Disclosure Agents and Excel Agents for audit and finance workflows, developed in connection with its Microsoft collaboration. Source

How DataSnipper charges today

Pricing not public. DataSnipper’s public terms state that fees, packages, payment schedules, and authorized usage levels are specified in the customer’s Order Form. The company does not publish standard list prices or public discount schedules in the reviewed materials. Terms and Conditions, January 1, 2026

The documented primary usage metric is licensed installations or users. For user-based management, each unique user account granted access is treated as an installation. DataSnipper assesses overages quarterly and invoices unresolved overages using the per-unit price in the Order Form. Additional features, add-ons, and additional installations may carry prorated fees. Terms and Conditions, January 1, 2026

Unless an Order Form provides otherwise, the documented subscription term is two years with automatic renewal for equal terms, annual invoicing in advance, and a 30-day payment term. The terms permit fee increases of up to 10% at a new or renewal term, subject to the stated notice provision. A separate AI-agent meter is not publicly documented. Terms and Conditions, January 1, 2026

Our monetization breakdown

Analyst layer · placement follows the documented capability above

Independence: M, provisional. DataSnipper’s agents can execute defined audit and reporting procedures, but the documented workflow retains a review and validation role for professionals. DocuMine returns suggested answers with source references, while Agent Builder materials describe teams reviewing agent output and applying judgment. DocuMine documentation Agent Builder overview

Job width: M, provisional. The documented Excel Agents capability extends beyond a single extraction or question: DataSnipper says agents can execute complete procedures from source-document extraction to a structured, review-ready result. These are end-to-end workflows within audit and finance functions rather than cross-functional business processes. Workflow documentation

Output versus cost: Linear, provisional. Public evidence supports meaningful task compression but not a 10x-or-greater, repeatably evidenced output multiplier across customer operations. One DataSnipper customer example reported certain procedures reduced from roughly four or six hours to 30 minutes, and the company reported up to 90% less time on audit procedures in that example. This assessment uses the documented evidence rather than generalized productivity claims. Customer example and product description

Documented monetization pattern. DataSnipper sells subscriptions through Order Forms with fees tied to packages, licensed installations, and optional add-ons or services. It also documents paid professional services, including onboarding, implementation, training, design, and consulting. The reviewed public materials do not identify a separate usage-based charge for agent runs, prompts, documents, or model consumption. Terms and Conditions, January 1, 2026

Score and metric history

EditionAMS scoreMetric on recordChange
Aug 2026M · M · LinProvisional AMS score: M · M · LinearBaseline, first edition

Future editions add a row whenever the score or the metric moves, with the evidence that moved it.

Sources

About this data

Everything on this page is a synthesis of public information: published reporting, vendor documentation, and procurement data that anyone can access. We link to those sources throughout. Nothing on this page draws on private or confidential information, and the positions are Monetizely's analysis of that public record, refreshed monthly.