Debra Werner — Descartes Labs, a startup that specializes in applying machine learning to geospatial data, announced Aug. 24 that it closed a $30 million Series B funding round led by March Capital, a Los Angeles-based venture firm. With the financing, Descartes Labs plans to enhance its "data refinery," the cloud-based supercomputing platform it uses to draw useful information and insight from disparate datasets. A May article in The Economist publicized the idea of data replacing oil as the world's most precious resource and pointed out that like oil data becomes more profitable when it is refined. "In addition to enhancing our data refinery, we plan on using most of the financing to grow our company," Mark Johnson, Descartes Labs chief executive, told SpaceNews by email. "We're currently at 40 full-time employees and plan to double the team within one to two years." SEE FULL STORY |
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