According to a recent LinkedIn post from Earthmover, climate risk firm Kettle is using Earthmover’s data platform to manage more than 100 TB of satellite, weather, and geospatial data for wildfire underwriting. The post highlights that Kettle’s previous workflows for multidimensional raster data were described as complex and tedious, involving extensive pre-computation and custom versioning safeguards.
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The company’s LinkedIn post suggests that Earthmover’s array-native architecture, built on open-source technologies such as Zarr and Icechunk, is now central to Kettle’s data pipeline. According to the post, this setup supports automatic versioning of NASA vegetation index updates and enables on-demand spatial queries that feed three proprietary AI models for ignition, spread, and vulnerability.
For investors, the case study-style content points to Earthmover’s potential product-market fit in high-value climate and insurance analytics, where reliable large-scale data infrastructure is critical. If this implementation reflects broader adoption among similar clients, it could signal recurring, data-intensive workloads that support a durable revenue base and strengthen Earthmover’s positioning in climate risk data infrastructure.
The emphasis on open-source compatibility and developer experience may also indicate a strategy to embed Earthmover deeply into technical teams’ workflows, potentially raising switching costs over time. In the broader insurtech and climate analytics landscape, such capabilities could enhance Earthmover’s appeal as underlying infrastructure for AI-driven risk modeling, rather than a purely commoditized data tool.