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!


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.


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.

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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.


Moonshots initiative

Our Moonshots initiative accelerates innovation by applying the latest AI technology. It focuses on high-impact problems, cutting edge technology, and uncharted data sets.

Apache Airflow

Did you know that our very own Julian de Ruiter wrote a book about Apache Airflow and that we regularly organize Apache Airflow code breakfasts and meetups? You can join the Apache Airflow Meetup group here. Over the years, we trained hundreds of professionals how to use Apache Airflow.

Divolte Collector

Divolte Collector is a high-performance, scalable server for collecting clickstream data in HDFS and for Kafka topics. It uses a JavaScript tag on the client side to gather user interaction data, similar to many other web tracking solutions. Divolte Collector can be used as the foundation to build anything from basic web analytics dashboards to real-time recommender engines and banner optimization systems. Divolte has been developed and open-sourced by GoDataDriven.


  • GoDataDriven stack: Amazon Web Services
  • GoDataDriven stack: Databricks
  • GoDataDriven stack: Google Cloud Platform
  • GoDataDriven stack: Jupyter
  • GoDataDriven stack: Azure
  • GoDataDriven stack: Python
  • GoDataDriven stack: RStudio
  • Divolte Clickstream Collector
Our work

Case studies

“GoDataDriven helped us move from analysis and models to data products worthy of production. Now we can really derive value from our machine learning initiatives”

Remco Wilting Head of Data and Science

“Image recognition will make it even easier for sellers to place ads.”

Rutger Mooy Senior Data Pioneer

“By working with GoDataDriven to build the platform and data-driven applications from the ground up, we have been able to experience the entire learning curve and learn to understand how everything works.”

Marcel Collette Manager of Information Systems

“GoDataDriven’s team is very experienced in developing scalable, robust, and tested data products in the cloud that can be taken into production easily”

Stephen Galsworthy Head of Data Science

“The immediate and outstanding results of GoDataDriven’s sales planning model showcased the tremendous value that exists within our data. This has led to an increased awareness of the value of data within our management and the rest of our organization.”

Hein Boersma ICT Manager Bakker Goedhart

The objective of developing machine learning algorithms is mainly to improve the customer relation, so that customer retention improves. That by itself will lead to more revenues, which is a great bonus, but not the primary target.

Manager Marketing Technology

“ING wants to become a data-driven organization with Analytics as a business model. GoDataDriven is our partner in accomplishing this ambition. They have the expertise to deliver a wide range of trainings, for our business people, our executive and the experienced Data Scientists.”

Mieke Nan Analytics Academy Lead at ING

“Our data team is excited about the opportunities of Divolte. The flexibility of this open source clickstream collector is unrivaled.”

Charles Verstegen Senior Revenue Manager

“By developing solutions based on the data in the Data Lake, we can inform our customers proactively and help them to optimize their energy consumption.”

Rens Weijers Manager Data and Strategy

“GoDataDriven helped us to accelerate our learning curve in the field of Big Data. By working closely together with GoDataDriven we also created a recommendation and search suggestion engine”

Niels Basjes IT Architect Big Data
the team

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.

Mike Izbicki Assistant professor at Claremont McKenna College

Fresh Insights

From the GDD Logbook

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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!