DataSnipper Tech Stack

AI automation platform for audit and finance workflows in Excel

Software Development Amsterdam, North Holland 201–500 employees Founded 2017 Privately Held

DataSnipper builds AI agents that automate repetitive audit and finance tasks within Excel, targeting productivity gains for mid-market accounting teams. The tech stack reveals a company heavily invested in generative AI (Python, FastAPI, MLflow, Azure, plus integrations with OpenAI-class models via DALL-E and Midjourney) and document intelligence. Hiring is sales-heavy (11 roles open) relative to engineering (5), reflecting a go-to-market push; pain-point data shows internal focus on identifying upsell opportunities and reducing customer churn, suggesting the product-market fit phase is maturing but expansion revenue and retention need work.

Tech Stack 29 technologies

Core StackFigma Canva Snowflake Adobe Illustrator After Effects Adobe Photoshop Python FastAPI MongoDB React MLflow Grafana LinkedIn TikTok Instagram YouTube Adobe SQL Photoshop Midjourney DALL-E RunwayML Adobe Firefly D-ID Lottie Excel Pydantic Azure

AdoptingTerraform

What DataSnipper Is Building

◆Challenges

Manual audit processes
Identifying upsell opportunities
Improving cs processes
Expansion blockers
Customer churn risk
Audit workflow inefficiencies
Reducing content waste
Maximizing reuse across channels
Limited upsell opportunities
Process inefficiencies

▲Active Projects

Excel agent
Azure infrastructure
Proof-of-value pilots
Thought leadership programs
Brand campaigns
Content repurposing & scale
Ai-driven content operations
Webinar & campaign execution
Enterprise account planning
Customer advocacy program

Hiring Activity

Accelerating30 roles · 15 in 30d

Department

Sales

Engineering

Marketing

Support

Design

Ops

Data

Product

Seniority

Mid

Senior

Manager

Junior

Lead

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About DataSnipper

DataSnipper automates audit and finance workflows through an intelligent Excel-based platform powered by AI agents. Founded in 2017 and headquartered in Amsterdam, the company operates at 201–500 employees and serves audit and finance teams at mid-market enterprises. The product uses document extraction, matching, and analysis to replace manual processes that traditionally consume significant time in audit preparation and compliance work. Core technical infrastructure runs on Azure, Python, and MongoDB, with emerging focus on real-time model serving (MLflow, Grafana). Hiring is active across sales, engineering, marketing, and support, with geographic expansion into North America and South America.

HeadquartersAmsterdam, North Holland

Company Size201–500 employees

Founded2017

Hiring MarketsNetherlands, United States, Peru, Brazil, Canada

Frequently Asked Questions

What tech stack does DataSnipper use?

Python, FastAPI, MongoDB, Azure, Snowflake, SQL, and React for the core platform. ML operations rely on MLflow and Grafana. Generative AI components integrate with DALL-E, RunwayML, and D-ID for document and content generation tasks.

What is DataSnipper working on?

Current projects include an Excel agent, Azure infrastructure upgrades, proof-of-value pilot programs, thought leadership content, brand campaigns, AI-driven content operations, and enterprise account planning initiatives.