AI consultancy in Rotterdam

An AI agency or company builds applications that use data to support decisions. In the region, Rijkswaterstaat’s Southwest Netherlands Traffic Control Centre in Rhoon manages traffic on all national roads and remotely monitors and operates tunnels and bridges. A model can help with decisions like these when time is short.

We build these models as part of our AI applications. If you first want advice on where AI fits into your operations, read about our AI consultant in Rotterdam.

Through an integration with the system the traffic controllers already use, not a separate dashboard alongside it. At RET, traffic control falls under the Central Traffic Control department. At Rijkswaterstaat, road traffic controllers inform road users through channels including the dynamic route information signs above the road.

The recommendation shows what it is based on. We also record what the operator chose. That lets you measure whether the model helps once it goes live.

Its input may start to differ from the data it was trained on. A new road, such as the A24, which opened between Vlaardingen and Rozenburg on 7 December 2024, changes where traffic flows. A model that fails to detect this will quietly produce poorer recommendations.

That is why we monitor inputs and predictions. For Rijkswaterstaat, we developed a generic monitoring package for drift and outlier detection. Read about retraining and versioning under MLOps.

Some of it, and access is becoming easier. According to Hogeschool Rotterdam, the municipality’s Open Urban Platform went live on 15 January 2025. It brings together data about Rotterdam that residents, businesses and organisations can use and add to. One application is a digital twin of the city, used for purposes including mobility and public space.

You need to check each source to see whether it contains the data you need and under what conditions you can use it. You can combine it with your own data on a data and AI platform.

Yes, if faults and maintenance have been recorded and can be linked to measurement series. RET says its asset management and infrastructure departments carry out repairs and preventive maintenance on vehicles and infrastructure. That creates precisely the history a model needs.

Read how it works under predictive maintenance and, for roads, bridges and pipelines, under AI for infrastructure management.

It may. Annex III of the AI Act lists AI systems used as safety components in the management or operation of critical digital infrastructure, road traffic, or the supply of water, gas, heating or electricity. Following the AI Omnibus, the obligations for these high-risk systems apply from 2 December 2027.

Your legal or compliance team must assess whether your application falls within its scope. We help you take stock, prepare the risk classification and establish governance. Read more about the AI Act.

No. We only manage solutions we have developed ourselves, so we can take responsibility for their quality. If we build the model, you can entrust its management to us through AI Managed Services.

If your own team wants to manage it, we agree in advance who owns it, who receives alerts and who approves a new version for release. See also management and continuous improvement.

If a fixed rule in the operations manual or operating plan already leads to the right decision, or if the operator mainly lacks an overview. In that case, a dashboard using the data you have will help more than a model.

There is also no point building a model if the measurement data is held by another organisation that will not share it. Start by agreeing how the data can be used. If you first want to explore what the data shows, read about our data science agency in Rotterdam.