According to a recent LinkedIn post from Earthmover, the company is promoting a webinar featuring new climate and weather datasets now available on its Earthmover Data Marketplace. The event is set for Thursday, April 23, and will include participation from Planette AI CEO Hansi Singh, Ph.D., Columbia Climate School researcher Kevin Schwarzwald, Ph.D., and Earthmover CEO Ryan Abernathey.
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The post highlights two offerings: Planette’s hybrid physics/AI seasonal forecast model and a bias-corrected, downscaled climate projection ensemble from Columbia University’s Climate Uncertainty Lab. Both datasets are described as analysis-ready and cloud-native, suggesting Earthmover is positioning its marketplace as a streamlined platform for climate and risk analytics.
For investors, the emphasis on seasonal forecasting and high-resolution climate risk data points to a focus on sectors where climate exposure is financially material, including agriculture, energy, insurance, and infrastructure. If adoption grows, these datasets could enhance the value proposition of Earthmover’s marketplace and support recurring revenue from data access and analytics workflows.
The collaboration with academic and AI-focused partners may also strengthen Earthmover’s credibility in the climate data ecosystem, potentially differentiating it from more generic data platforms. However, the post does not provide details on pricing, customer traction, or contractual arrangements, so the direct near-term financial impact remains uncertain and would depend on conversion from webinar interest to paying usage.