Geospatial AI
made simple

SpaceSense is an AI toolbox designed to help data scientists and developers build geospatial solutions faster, easier and at scale

Trusted by
Xfarm logoLogo agriviLimagrain logoGreenback logoHutchinsons logo
Drone AG logo
Benefits

The benefits of
using SpaceSence

Accelerate time to market

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

Unlock new abilities

Create value from complex data sources without the need for application specific experts.

Do more with less

Increase your productivity significantly by enabling more higher value work with the same geospatial team.

Deploy efforlessly

Integrate SpaceSense in a few minutes, through a lightweight toolbox that creates production-ready solutions.

Modules

Modules

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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a window of code showing the usage of the toolbox

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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A representation on several geospatial data fusion

Data preparation for AI

Accelerate and simplify your machine learning preparation steps by by using our dedicated features for data preparation for AI.
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A representation of the different preparation steps

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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A globe with several datasets representing several thousands of gigabytes

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

Hear from

Users

our users

"We have been able to quickly and effectively integrate SpaceSense's solution into our platform. This has been the easiest and most straightforward integration process to date.”

Oliver Wood

Precision Technology Manager at Hutchinsons

“Thanks to SpaceSense we were able to quickly create new  cost-effective products that differentiate xFarm from their competitors.
We’ll keep building new satellite solutions with SpaceSense which will help our growers work in a simpler and more visual way.”

Matteo Vanotti

CEO at xFarm

The combinaison of our technology saved time, reduced chemical use and improve crop performance. With SpaceSense's toolbox, we built cost-effective and sustainable farming aide that can reduce soil damage and help farmers meet the increasing global demand for food.

Jack Wrangham

Founder of Drone Ag

"We have been able to quickly and effectively integrate the imagery into our platform. We have worked on a number of API connections in the past and this has been the easiest and most straightforward to date.”

Oliver Wood

Precision Technology Manager at Hutchinsons

“Thanks to SpaceSense we were able to quickly create new  cost-effective products that differentiate xFarm from their competitors.
We’ll keep building new satellite solutions with SpaceSense which will help our growers work in a simpler and more visual way.”

Matteo Vanotti

CEO at xFarm

The combinaison of our technology saved time, reduced chemical use and improve crop performance. It is a cost-effective and sustainable farming aide that can reduce soil damage and help farmers meet the increasing global demand for food.

Jack Wrangham

Founder of Drone Ag

CROP HEALTH MONITORING

How xFarm implemented cost-effective crop health monitoring solutions at scale

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,

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Field being irrigated

Use cases

Using satellite imagery to track the impact of climate change on housing insurance

Discover how a company built a new way to track house damages due to shrinkage-swelling of clay by building a machine learning based model with satellite imagery using SpaceSense tools

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Discover how a company built a new way to track house damages due to shrinkage-swelling of clay by building a machine learning based model with satellite imagery using SpaceSense tools

Use cases

Tracking damaged roofs after a hurricane via satellite imagery

Learn how SpaceSense helped build a damaged roof detection algorithm via satellite imagery

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Learn how SpaceSense helped build a damaged roof detection algorithm via satellite imagery

Use cases

xFarm case study: The best way to get started with satellite crop monitoring

Italy’s leading farm management solution

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Italy’s leading farm management solution
The origins of SpaceSense: Interview with Jyotsna Budideti

Company

The origins of SpaceSense: Interview with Jyotsna Budideti

An interview of SpaceSense’s co-founder and CEO Jyotsna Budideti on the origins and goals of SpaceSense.

CONTACT

Get in touch!

Contact us for anything you need.

62 rue Jean-Jacques Rousseau,
75001 Paris

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