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Descartes Labs

Descartes Labs, founded in 2014 and headquartered in San Francisco, California (originally Los Alamos, New Mexico), is a geospatial AI analytics company that built a global satellite data processing infrastructure to analyze Earth observation imagery at planetary scale using deep learning — originally focused on agricultural yield forecasting and supply chain intelligence before broadening to defense, environmental, and financial applications.

Santa Fe, United States Est. 2014 Commercial
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Quick Facts
Country
United States
Founded
2014
Type
commercial
Status
operational

About Descartes Labs

Descartes Labs, founded in 2014 and headquartered in San Francisco, California (originally Los Alamos, New Mexico), is a geospatial AI analytics company that built a global satellite data processing infrastructure to analyze Earth observation imagery at planetary scale using deep learning — originally focused on agricultural yield forecasting and supply chain intelligence before broadening to defense, environmental, and financial applications.

Descartes Labs' technical foundation is its satellite imagery ingestion and processing pipeline: the company aggregated daily imagery from Landsat, Sentinel-2, MODIS, and commercial satellite sources into a cloud-based data platform with automated cloud masking, atmospheric correction, and spatial indexing — making time-series analysis over global extents computationally tractable. The company's agricultural yield models — which predict corn, soy, and wheat harvests across the US Midwest and globally using daily satellite NDVI time series — attracted early attention from commodity trading firms seeking independent crop condition intelligence before USDA WASDE report releases.

Descartes' geospatial machine learning platform (GeoVisual Search) enables anomaly detection at scale: identifying subtle changes in port activity, manufacturing plant operation, or agricultural land use across millions of square kilometers of imagery that no human analyst workforce could manually review. These capabilities serve defense and intelligence customers tracking industrial activity, commercial customers monitoring competitive supply chains, and environmental organizations detecting deforestation or pollution.

The company was a pioneer in geospatial AI, attracting significant VC investment from investors including Google Ventures and Bain Capital Ventures, with total funding exceeding $100 million. Descartes Labs faced challenges scaling its business model — transitioning from government research contracts to repeatable commercial SaaS revenue proved difficult — and underwent restructuring. The company's core technology and customer relationships positioned it within the growing geospatial intelligence market.

Descartes competes with Orbital Insight, SpaceKnow, Maxar Intelligence, and Planet Labs analytics in the satellite-derived AI analytics market.

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Frequently asked about Descartes Labs

Quick answers to the questions readers most often search for.

When was Descartes Labs founded?
Descartes Labs was founded in 2014 in United States.
Where is Descartes Labs headquartered?
Descartes Labs is headquartered in Santa Fe, United States.
What does Descartes Labs do?
Descartes Labs, founded in 2014 and headquartered in San Francisco, California (originally Los Alamos, New Mexico), is a geospatial AI analytics company that built a global satellite data processing infrastructure to analyze Earth observation imagery at planetary scale using deep learning — originally focused on agricu…
Is Descartes Labs a public or private company?
Descartes Labs is currently a private commercial (status: operational).
What sector does Descartes Labs operate in?
Descartes Labs operates in analytics.

Data Accuracy Notice: Information about Descartes Labs is compiled from publicly available sources including company websites, press releases, regulatory filings, and industry reports. Data is reviewed periodically but may not reflect the most recent developments.

Last updated: June 30, 2026
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