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Geospatial analytics startup Descartes Labs raises $30M Series B led by March Capital; the company uses machine learning to derive data from satellite images

John Mannes / TechCrunch :

TechCrunch John Mannes

Context & Ripple Effects

Descartes Labs' $30M Series B lands four months after rival Orbital Insight raised its own $50M Series C led by Sequoia, making mid-2017 the moment investors decided machine-learning-on-satellite-imagery is a fundable category rather than a research project. Both startups sell the same promise: turning publicly available imagery into predictive data for customers who don't operate satellites themselves.

The raise also sets up what came next — a year later Descartes Labs moved from pilot work to general availability when it exited beta on models built from NASA and other public data sources, so this round is the capital behind that commercialization push.

First-order effects

  • March Capital now holds a lead position in one of the two best-funded US geospatial analytics startups, with Descartes Labs gaining the runway to scale its machine-learning models against Orbital Insight's larger, later-stage war chest.
  • Enterprise buyers of satellite-derived intelligence — agriculture, commodities, infrastructure — get a second credible vendor at Series B scale, ending Orbital Insight's run as the category's default funded option.

Second-order effects

  • Competition between two well-capitalized analytics firms pressures both to differentiate beyond raw imagery interpretation, pushing product investment toward proprietary predictive models built on NASA and other public feeds.
  • Downstream visualization and mapping tools like Carto — which had already raised growth money in 2015 and would go on to a $61M Series C in 2021 — gain from a growing ecosystem of analytics outputs that need map-based delivery.

Third-order effects

  • If the pattern holds, the geospatial value chain splits structurally: satellite operators become commodity imagery suppliers while equity value concentrates in the software layer that interprets the pixels — the same dynamic Carto's later-stage funding reflects on the visualization side.
  • Sustained venture funding across multiple rounds and years suggests geospatial analytics is hardening into a durable enterprise category, with public-agency data (NASA et al.) serving as the free input substrate private firms compete to monetize.

The trend: Venture capital is building a geospatial analytics industry on top of freely available government satellite imagery, with successive rounds to Descartes Labs, Orbital Insight, and Carto marking its shift from novelty to established enterprise software category.