Descartes Labs Unveils Self-Service Platform for Geospatial Data Analysis
Descartes Labs launches a new platform that gives data scientists direct access to geospatial data and machine learning tools, reducing the need for costly consulting engagements.
Descartes Labs introduces a new platform that combines geospatial data with the necessary tools for data scientists to analyze images and build machine learning models. This launch aims to empower business and analysis teams to work independently with satellite and Earth observation data.
Historically, the startup relies heavily on consulting to help clients in agriculture, energy, and government sectors understand geospatial data. Now, as more companies hire dedicated geospatial data scientists, Descartes Labs shifts its strategy to provide a self-service environment where these experts can tackle their own projects.
The platform removes significant technical barriers by handling the complex task of wrangling petabyte-scale datasets. By utilizing familiar industry standards like hosted Jupyter notebooks, Python support, and dedicated APIs, the system allows users to easily transform and clean incoming data from third-party partners.