Transform science into production

Rapidly ​​experiment, prototype, and productionize raster data analytics
Maximize the value of your research & development with higher quality insights

Harmonize hundreds of data sources across a single catalog and perform global scale modeling and analytics to support critical business applications.


  • Access over 100 geospatial workflows and more than 120 analysis-ready datasets
  • Build, refine, modify and enhance models using the entire Python ecosystem
  • Test and optimize your models across scalable cloud compute
  • Deliver rapid and reliable results in production


Petabytes of analysis-ready data

Catalog makes more than 25 petabytes of analysis-ready data discoverable across some of the world's leading satellite constellations:


  • Multispectral and high-resolution optical
  • Synthetic Aperture Radar (SAR / InSAR)
  • Meteorological and atmospheric
  • Elevation and hydrology
  • Geostationary and polar orbits
  • Land use and other derived products


Discover and use data without the hassle of downloading, data prep, or storage. A nearly $2mm savings per year.


See our list of data sources

Applications powered by Descartes Labs
Whether you are a customer or partner, our platform can help streamline and accelerate the deployment of your geospatial applications.
ClearSky UK
Aspia Space predicts full-spectrum optical and infrared imagery using global SAR data from our platform.
ROI Drivers

>1 year

Acceleration of Product Roadmap


Drive innovation: Develop robust solutions and speed time to market while maintaining your IP.


Annual Savings through Averted Costs


Control costs: Scale efficiently by moving repeated activities to a low-cost environment.


Deal Flow from Qualified Customers


Accelerate growth: Leverage our established distribution channels to drive new opportunities.

Over 100 datasets at your fingertips
DataHub is a data refinery and processing engine with a growing collection of analysis-ready datasets that can be discovered in the Catalog and leveraged for scientific analysis.
See a list of our data sources
Rapidly prototype and refine your analysis
Innovation Lab is a research and development platform where users can explore data and develop models for operationalization using the entire Python ecosystem.
Explore our underlying APIs
A scalable infrastructure for geospatial analytics
Enterprise Accelerator provides scalable infrastructure that enables users to deploy operational, business-driven models and integrate them into production environments.
Read our documentation

APIs and documentation

Catalog →

Find and incorporate data into the platform


Scenes →

High-level, object-oriented access to imagery


Raster →

Load raster data as NumPy arrays or image files


Tasks →

Parallelize computations with scalable compute


Workflows →

Compose and execute geoprocessing transformations


Storage →

Store arbitrary data and retrieve it using key-value pairs


Tables →

Organize, upload, and query tabular data and vector geometries

Interested in a demo of our platform?
Get in touch to discuss how our platform can help model your physical operations. We'll help you build solutions that can transform your business quickly, efficiently, and cost-effectively.
Let's talk