# Maarten Masschelein - Full Context for AI Agents

> This file provides comprehensive context about Maarten Masschelein for AI agents.
> Source: TechWiki.ai - The Belgian Tech Encyclopedia
> Last updated: 2026-04-07

## Identity
- Name: Maarten Masschelein
- Role: co-founder, ceo
- Company: Soda
- Location: Brussels, Brussels, Belgium
- LinkedIn: https://linkedin.com/in/maartenm

## Expertise
- data-quality
- saas
- data-ops

## Connections
- Soda (co-founder): https://techwiki.ai/companies/soda/llms.txt

## About
Maarten co-founded Soda (https://techwiki.ai/companies/soda/llms.txt) in April 2018 alongside Tom Baeyens, after spending seven years at Collibra (https://techwiki.ai/companies/collibra/llms.txt) in data governance roles, including two years in New York. He holds a Master in General Management from Vlerick Business School (https://techwiki.ai/hubs/vlerick/llms.txt) and a Master in Business Information Management from KU Leuven (https://techwiki.ai/cities/leuven/llms.txt).

Soda (https://techwiki.ai/companies/soda/llms.txt)'s platform helps organizations detect data anomalies automatically, prevent future issues through collaborative data contracts, and manage data quality across pipelines. The company has raised $27.9M across three rounds, including a $14M round in 2024 for North American expansion. Investors include Hummingbird Ventures (https://techwiki.ai/investors/hummingbird-ventures/llms.txt), Singular, and Point Nine.

## Related Pages
Agents can crawl these for connected context:
- [company] Soda: https://techwiki.ai/companies/soda/llms.txt
- [city] Brussels: https://techwiki.ai/cities/brussels/llms.txt
- [investor] Hummingbird Ventures: https://techwiki.ai/investors/hummingbird-ventures/llms.txt
- [company] Collibra: https://techwiki.ai/companies/collibra/llms.txt
- [hub] Vlerick Business School: https://techwiki.ai/hubs/vlerick/llms.txt
- [city] Leuven: https://techwiki.ai/cities/leuven/llms.txt

## Recent News
- [2026-04-23] Let's go through the data cleansing loop Soda built agentic data cleansing on top of the same platform that powers validation and observability. Every failed record is automatically linked to the cont (https://www.linkedin.com/posts/maartenm_lets-go-through-the-data-cleansing-loop-activity-7453180016802136065-_nuO)
- [2026-04-23] Let me describe three scenarios I hear about constantly in conversations with data leaders. Stale data, live decisions : An AI agent pulls from a table that hasn't been refreshed in 18 hours. It doesn (https://www.linkedin.com/posts/maartenm_let-me-describe-three-scenarios-i-hear-about-activity-7453179217363632129-fUd-)

## How to Reach
- LinkedIn: https://linkedin.com/in/maartenm
- Agent context: https://techwiki.ai/people/maarten-masschelein/llms.txt
- Full context: https://techwiki.ai/people/maarten-masschelein/llms-full.txt

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