Customer Success Stories
Our case studies show how teams move from ambition to production, with senior engineers building production-ready data and AI systems alongside clients across industries.

Rituals
Turning a Complex Legacy Modernization Portfolio Into One Clear Roadmap
Rituals had hundreds of projects running across several programs at once, and no single place to see where all the work was going. We built that view in a day, from data the company already had. Underneath it, one check on usage settled what to do with 99% of a half-million-table warehouse.

ANWB
Finding the AI Visibility Gap in Insurance
Search is shifting from ten blue links to AI-generated answers, and ANWB had no read on where its insurance content stood. We benchmarked it against the competition and left the team a scoring method they can run on every page themselves.

Rituals
Launching Mind Oasis on Reliable Cloud Foundations
Rituals had an ambitious launch date for a new wellness app and no platform to build it on. We architected the cloud foundation from scratch, shipped on schedule, and left the team able to run and extend it without us.

Rituals
Reinventing Retail Forecasting at Scale
Rituals was replacing the forecasting system behind every store it runs, on a deadline that kept moving closer. We built the data engine underneath it — and cut the platform's cloud bill by roughly 90% on the way.

Brenntag
Turning Complex Data into an Accessible Marketplace
A new CRM was only worth having if the data from dozens of local ERPs reached it. We built the real-time layer that feeds it, operated it in production, then left a blueprint the team used to take it global.

Milence
Building a Future-Proof Data Platform
Early geospatial prototypes were costing more than €10k a month before the real platform existed. We built that platform on cloud foundations, cut the bill by over 90%, and helped hire the leaders who now run it.

CarNext
Creating a Modern Data Mesh for Scalable Growth
CarNext's data had to keep pace with a marketplace expanding across Europe. We designed a data mesh that puts ownership with the teams who generate the data, so the platform scales with the business rather than against it.

FrieslandCampina
Building a Data Platform for Better Decision-Making
SourceOne was being asked to serve far more queries than it was built for. We integrated the S3 data lakes and tuned the Redshift clusters, doubling daily query capacity past 100,000 without any change in service.

PostNL
Developing Real-Time Data Products and Platforms
PostNL wanted data products, but each one took over three months to ship. We built the event-sourcing foundation and the programming model around it, bringing that down to two weeks — and new-developer onboarding from weeks to hours.

Syngenta
Speeding Up Environmental Analytics with MLOps
An environmental analytics project had been stuck in proof-of-concept since 2017, slow and able to handle only one query at a time. We moved it to AWS and redesigned how its key calculations worked, delivering ahead of schedule.

Vodafone Ziggo
Predicting Churn Before Customers Leave
Vodafone Ziggo knew bad connections cost them customers, but not which customers were about to leave. We built models that flag unhappy households and the lines due for maintenance, so support reaches them first.