Data Platforms and AI Applications
We build solutions with data and AI: from concept to prototype and to production-ready application. We can be the partner that gets your organization ready to run solutions at enterprise scale with ease!
A SOLID INFRASTRUCTURE FOR DATA AND AI APPLICATIONS
Design and Build Data Platforms
We build secure data platforms to process your data and use as a central data hub for your organisation. This platform can be used by your data scientists to develop AI-driven applications, or for your data analysts to create business insights and visualisations. Also, this data platform is the ideal starting point for your specialized, cloud-based data warehouses.
A good data governance is a strong requirement for all modern, data-driven organizations. And although this is not an easy task, we want to help you implement this on top of your data platform in a way that comes almost natural and does not put unnecessary constraints and requirements on your development.
Our experienced data engineers are certified on all three major cloud providers: AWS, Azure, and GCP.
THE RIGHT THING, THE RIGHT WAY
Develop and Run AI Applications
We build reliable AI applications that are engineered for scale. We embrace DevOps as the way to build with robustness and security in mind from the start, and not as an afterthought. Performance and cost monitoring, centralized logging, continuous integration, feedback and delivery are all part of our standard practice.
Our experience in building AI applications covers many applications of machine learning and AI: from recommenders to pricing optimization and from demand forecasting to predictive maintenance.
Data Science in Production Magazine
Download this magazine chockful content on how to take AI into production and realize value.
Technologies we use
Technology at the core
Since 2009 we’ve been closely monitoring AI’s renaissance and applied many of its tools and methods to challenges in enterprise-level organizations: from basic machine learning to deep learning and reinforcement learning
Our insight and experience allow us to select the most effective technology stack for your business problem. And we strongly believe in a cloud-first approach to delivering those solutions.
We also love open-source technology to avoid vendor lock-in for our clients and to stay on top of the latest developments.
SOME OF OUR TECHNOLOGY CONTRIBUTIONS
Moonshots initiative
Apache Airflow
Divolte Collector
OUR TECHNOLOGY STACK
Case studies
Meet our people
We sat down with a few of our team members to talk about their work. Topics discussed include work-life balance, writing intellectually challenging code, and giving back to the community.
GoDataDriven has helped me develop cutting edge data analysis courses for
the students at Claremont McKenna College.

Fresh Insights
From the GDD Logbook
- Data Engineering
- Hadoop
- data
- Data Science and AI
- data
- Data Science and AI
- data
- Data Science and AI
- data
- Data Science and AI
- Apache Airflow
- Data Engineering
Have any questions?
Contact Niels Zeilemaker (our CTO) in case you want to know more about infrastructure, platforms, data and AI-driven applications or discuss specific technical challenges you are facing. We might very well be able to help you!