According to a recent LinkedIn post from Earthmover, the company is promoting a webinar featuring Planette AI CEO Hansi Singh and Columbia Climate School scientist Kevin Schwarzwald to discuss two newly available climate datasets. The post indicates that these datasets focus on seasonal forecasting and high‑resolution climate risk projections and are already integrated into the Earthmover Data Marketplace.
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The post highlights Planette’s hybrid physics/AI seasonal forecast model as underpinning a flagship forecasting product, suggesting potential applicability for sectors exposed to weather and seasonal variability. It also points to Columbia’s Climate Uncertainty Lab ensemble as a tool for more granular climate risk analysis, which could be relevant for insurance, infrastructure planning, and asset management use cases.
By emphasizing that both datasets are “analysis‑ready” and “cloud‑native,” the LinkedIn post suggests Earthmover is positioning its marketplace as a streamlined platform for advanced climate and AI data. For investors, this may indicate efforts to deepen value for existing users, attract data‑intensive enterprise customers, and strengthen the company’s role in the growing climate‑risk analytics ecosystem.
The webinar, which features Earthmover’s CEO alongside the dataset creators, appears aimed at accelerating adoption and demonstrating concrete workflows. If it succeeds in driving developer and enterprise engagement, it could support higher data usage on the marketplace, potentially contributing to future revenue growth and reinforcing Earthmover’s competitive positioning in climate and geospatial data infrastructure.