Descartes Labs

Descartes Labs provides high performance access to calibrated satellite imagery and machine intelligence solutions for industry, academia, and government.

The Descartes Labs Platform is the missing link in making satellite imagery useful. We collect data daily from public and commercial imagery providers, clean it, calibrate it, and store it in an easy-to-access file system, ready for scientific analysis. Solving the most challenging forecasting problems in business today Descartes Labs develops and maintains advanced forecasting solutions, built on the Descartes Platform. While we began by providing packaged solutions for agriculture, the Descartes Platform is a general-purpose machine-learning platform well suited for a range of applications. Our regular, timely, and accurate forecasts create competitive advantage, especially for organizations involved in trading, logistics, risk management, and security. Solutions for agriculture Descartes Labs Crop Forecast is a high-cadence product with global coverage at national, state/province, and more granular resolutions. Our national forecasts support commodity trading and hedging, while our local forecasts support activities across agriculture. We also make weekly forecasts available to the public. Proprietary forecasting models In addition to using our agriculture products, organizations can apply the Descartes Labs Platform to a range of opportunities and domains. We help organizations unlock the hidden value of their own data, augmenting it with our data and processing it with our machine-learning algorithms. Customers engage us in a variety of ways. Some have their own development teams who build their own solutions using our platform on a do-it-yourself basis. For others, we provide full-service development, including spinning-up secure instances of our platform, on which special purpose applications can be built. Our team includes internationally recognized experts in machine learning and large-data computation, with decades of experience working in highly rigorous and secure US national labs. We apply the same scientific rigor and security procedures when building your proprietary forecasting solutions. Our methodology The heart of our forecasting solutions is a series of models of real-world processes. The models are fed by relevant inputs (e.g., satellite imagery, weather data, etc.); they simulate the dynamics of the underlying process to forecast probable outcomes (e.g., crop yields). We don’t design models directly; we train them using specialized algorithms to correlate historical inputs with historical outputs.

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