smart lighting as a service

Digital technology is changing the way we live. And the way we use light.

Our team helps you gain better insights, create new value propositions and take advantage of innovative business models using the Internet of Things. Our inclusive approach has made us a popular partner for leading technology companies. The result? Ground-breaking prototype projects in connected buildings, connected commerce and connected cities.

Remote Monitoring

Our luminaires report back on how they’re performing.

You get an alert before anything fails, so you can make sure that everything stays up and running and decide on the most efficient way of maintaining your lighting system.

This also means no more opening up walls to hunt down the source of a problem. With remote monitoring, you find out instantly.


Our systems detect when rooms are being used and what they’re being used for. This data gives you key information about how to plan your space more effectively and more efficiently. See case studies.

Or you might discover that different areas are being used more or being used less than you expect. You can then adjust your cleaning schedule to match - and potentially save even more money.

Your rights are protected.

Our systems meet the highest standards of data security. And we protect your individual rights.

This is because all our ZGS systems are put through regular assessments and operate strictly according to law. Together with IoT partners, we make sure that our systems satisfy the highest possible technical requirements. And the ability to update our systems means that we do this over the entire product lifecycle.

This gives you peace of mind that your rights and data security are protected in the best way possible.

The future - together

Where there are people, there are luminaries with a power supply. So your lighting infrastructure is actually the perfect backbone for a smart building that harnesses the vast potential of the Internet of Things.

So let’s learn together. Bring us a business problem and we’ll see if we can find a way to solve it using data collected by your lighting solution.