WHAT WE DO

Build

Data Platforms and AI Applications

You know that you cannot build your business on AI concepts and prototypes alone. But is your organization able 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 store, cleanse and enrich (ETL) your data, develop and run AI applications, and provide a consumption layer to the rest of the organisation.

Our experienced data engineers are certified to build data platforms on all three major cloud providers: AWS, Azure, GCP.

THE RIGHT THING, THE RIGHT WAY

Develop and Run AI Applications

We build reliable AI applications that are engineered for scalability. Our DevOps way of working makes sure that solutions run in production with ease. Performance monitoring, centralized logging, continuous testing, feedback and delivery are all standard practices that make our solutions scalable and maintainable.

Our experience covers all fields 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 following AI development, working with concepts like machine learning, deep learning and reinforcement learning for enterprise organizations.

Our insight and experience allow us to select the best technology stack to develop effective solutions for your business and apply cloud-native engineering principles to AI.

By using open-source technologies we make sure that we are on top of the latest developments and avoid vendor lock-in for our clients.

SOME OF OUR TECHNOLOGY CONTRIBUTIONS

Moonshots initiative

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

Apache Airflow

Did you know that our very own Fokko Driesprong is a PMC of Apache Airflow, while Bas Harenslak is a committer. We regularly organize Apache Airflow code breakfasts and meetups. You can join the Apache Airflow Meetup group here

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 dashboarding to real-time recommender engines and banner optimization systems. Divolte has been developed and open-sourced by GoDataDriven.

OUR TECHNOLOGY STACK

  • 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 Bakkersland

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.

OUR EXPERTS

Have any questions?

Contact Niels Zeilemaker, CTO, in case you want to know more about infrastructure, data applications or discuss specific technical challenges you are facing. We might very well be able to help you out!

EXLORE OUR SERVICES