SpaceSense is an AI platform designed to help data scientists and developers build geospatial solutions faster, easier and at scale
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Save months in development time for new products, giving you a competitive advantage through an early market access.
Create value from complex data sources without the need for application specific experts.
Increase your productivity significantly by enabling more higher value work with the same geospatial team.
Integrate SpaceSense in a few minutes, through a lightweight library that creates production-ready solutions.
Analysis ready data
Access numerous satellite data sources ready to be used, without any need for remote sensing knowledge. We also provide access to multiple public geospatial datasets.
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Data enrichment
Merge different sources of geospatial datasets (public or proprietary) into multidimensional data cubes with ease and within a few minutes.
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Data preparation for AI
Accelerate and simplify your machine learning preparation steps by using our dedicated features for data preparation for AI.
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Scale and accessibility
Do all your operations at scale, thanks to our cloud hosted solution enabling you to process terabytes of data in minutes, while getting access to the resulting dataset wherever you want.
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Build solution faster
SpaceSense enables you to create solutions from scratch 3 times faster than you would without it.
Keep the control
Design and customize each step of the process thanks to our wide range of settings enabling you full customization
Unlock new capabilities
Enable your team to expand their skills with new satellite imagery processing and advance ML capabilities with our packaged features
Automate painful tasks
Gain time by letting SpaceSense handle painful and repetitive tasks like satellite data pre-processing, fusion or quality inspection.
Start with ML for earth observation
Automate most of your data preparation tasks for your ML projects and get started with ready to use ML packages.
Scale your work
Process small areas or whole countries over any time period without any change on your side.
Access complex data
Use SAR or hyperspectral data without remote sensing expertise though our packaged features
Start with ML for earth observation
Automate most of your data preparation tasks for your ML projects and get started with ready to use ML packages
Increase your output
Work at a new scale by being able to batch process thousands of images in an automated fashion
Access ML-ready satellite data
Prepare earth observation data for your specific ML task
Capitalize on our geospatial catalogue
Access various geospatial datasets like land cover classes, biodiversity dataset & more to enrich your feature set for best ML model
Learn how to apply ML to satellite data
Pick-up the satellite best practices in no-time thanks to our extensive documentation and easy-to-use features
xFarm is Italy’s leading farm management solution. Their mobile app is used by more than 30 000 farmers over several million hectares. They provide several free features to their growers, with the possibility to upgrade to premium modules,
eAgronom built a custom crop detection model for Estonia based on satellite imagery with >84% accuracy in less than a month. They used SpaceSense's crop type solution template to build an AI model using Sentinel 2 to detect dozens of crops
Build custom variable rate applications and prescriptions maps using satellite imagery. SpaceSense’s clustering solution enables you to create zones on any field based on vegetation indices and custom files, to create fertiliser or seeding prescriptions maps
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