How turns geospatial data into valuable information

More data is being collected than ever before. When processed well, data can become valuable information and provide new insights. With we provide you with all the tools to build your own automated data enrichment processes.



Reliable and fast results through automated enrichment

Information is becoming one of the most important assets in the 21st century. But how do you turn the pile of geospatial data you are sitting on into such an asset and get value from this asset? can help you.

More data is being collected than ever before. Digital devices, LIDAR, drones, cameras, satellites and sensors acquire petabytes of unstructured, raw data every single day. The data is widely available, but the data itself does not directly provide value to your customers.

When processed well, data can become valuable information and provide new insights or can be used to inform decisions.


To turn your data into information enrichment needs to take place. Traditionally this was done manually, but this is time-consuming (in man hours and total execution time), expensive, error-prone and does not lead to reliable results on repetition.

Landscape Geospatial Data

This is where comes in: we automate information enrichment by using algorithms and many computers in parallel. This leads to predictable, reliable results and can be performed over and over again: Set up once, run many times.

Houses Geospatial Data


ENRICHING GEOSPATIAL DATA helps to mine the digital gold of the built environment

By harnessing the power of hundreds of computers at once, large amounts of geospatial data can be processed by our algorithms to meaningful information in a very short timeframe. This is all done in an automated and scalable way on our platform You only have to upload your data (photo’s, LIDAR) to one of our storage locations, or pull the data from one of our existing API’s, and start running the pipeline customised to your needs.


After processing you can simply access the enriched data through our data delivery capabilities.

We offer many different algorithms to detect, classify, recognise, measure and locate objects in your data.



Some examples of objects we can detect are:

  • Buildings: footprint classification and measurements, roof classification and measurements, openings, mailboxes, chimneys, windows, doors, walls

  • Infrastructure: traffic signs, street lighting

  • Environment: vegetation, crops

Would you like to know how we can enrich your data or are you looking for other objects? 

Data types geospatial data

Through helping you with your unique case

Are there other challenges you are facing? Are you looking for a specific type of information? We can help you with your geospatial related questions and challenges. can help you in a number of ways:

Through our platform:
You can use our platform to run your own pipelines. is a scalable platform which means that we can speed it up with the amount of work. Computer vision, machine learning, deep learning and distributed computing are techniques used to quickly process large-scale datasets.