""What makes a compelling use case for our platform? Data that change frequently," Abernathey, Earthmover's co-founder and CEO, told TechCrunch. "That's where there's a lot more urgency around solutions. That [data] goes to weather, goes to fire, goes to new observations that are being generated.""
""In geospatial they call it a raster. In AI, they call it a tensor. In old school Fortran, they just call it an array," Abernathey said."
Earthmover shifted focus from slow-changing climate outputs to rapidly changing weather and event-driven data to create more urgent use cases. The company offers a core data structure designed for large, complex geospatial datasets and additional tools for extracting insights. The platform supports rasters/tensors/arrays and runs on major cloud providers and on-premise systems. Earthmover builds on open-source projects like Xarray, Pangeo and Icechunk and leverages founders' expertise in those tools. The startup secured a $7.2 million seed round led by Lowercarbon Capital and has signed over ten paying customers.
Read at TechCrunch
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