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We are building The data layer for the privacy age

our story Driving privacy-safe applied AI

When we started Stream Machine, we had been building with data and applied machine learning at scale for some time. One thing struck us with every product, project and app we were involved in: how hard it is for data teams to balance privacy and innovation.

But if applied properly and respectfully to privacy, society can greatly benefit from data-driven and smart applications. That's why our mission is to drive privacy-safe applied AI.

More than just compliancy

Of course the legal perspective, like GDPR or CCPA, matters, but even more so we want to help teams to respect user privacy, easily.

Don't trade innovation for privacy

We want to help data teams go fast AND safe with deep event data instead of either prioritizing speed and behave risky, or choose to reduce risk but lower the pace (by a lot).

Teams deserve trust

We are here to help data teams deserve the trust from their customers and legal peers, so building cool data-driven and smart applications take 10x less meetings (approximately).

The Stream Team

Deep expertise in creating value from data, data at scale & applied ML. Proudly built remotely and in Utrecht 🇳🇱.

  • Bart Voorn


  • Pim Nauts


  • Bart van Deenen

    Lead Engineer

  • Robin Trietsch

    Senior Software Engineer

  • Jan-Kees van Andel

    Senior Software Engineer

Contact us

Stop by at Werkspoorkathedraal, Utrecht to meet the humans behind Stream Machine.

Office location

Tractieweg 41, Studio N

3534 AP Utrecht



Want to help building Stream Machine? View all job openings.

Do you want to build faster and cheaper without worrying about privacy?