Accelerate time to market
Save months in development time for new products, giving you a competitive advantage through an early market access.

Save significant costs
Between the salary and the cloud processing, you save on average 45% of your costs.
Make dataset generation fast and pain-free while saving weeks and thousands of dollars
Our service helps you generate advanced geospatial datasets without the hassle of having to build them each time, and having to manage the ingestion architecture. Thanks to our automation tools, we can build your datasets in a matter of days, helping you accelerate your product development while enabling your data scientists to focus on more valuable tasks.
The process is very simple:
1. Share your specifications: Let us know how you want the dataset to be generated, what format and what processing steps
2. Provide your data: Any type of geospatial data that you'd want combined with satellite imagery
3. We build your datacube: We follow your specifications and the dataset is build in a nearly automated way
4. Get your datacube ready to be processed: We deliver the result in the environment you want so that you can start working on it directly. We immediately delete any data that you shared with us afterwards
Save months in development time for new products, giving you a competitive advantage through an early market access.
Between the salary and the cloud processing, you save on average 45% of your costs.
With this painful work out of the way, your can focus your team's energy on more valuable tasks.
Thanks to our infrastructure we can process more than you could before, allowing you to build larger solutions
Title use case 01
They used our data fusion module to create a dataset of hundreds of fields composed of Sentinel 1 & 2 data, crop type and significant event dates (like harvest and tilling).
Title use case 01
They used our data fusion module to create a dataset of hundreds of fields composed of Sentinel 1 & 2 data, crop type and significant event dates (like harvest and tilling).