According to a recent LinkedIn post from Earthmover, the company is promoting a webinar featuring Tom Gowan, Director of Weather Prediction and AI at Spire, focused on an AI-driven sub-seasonal-to-seasonal forecast model. The post indicates that this 46-day forecasting dataset, built on data from a large commercial satellite constellation, is available via the Earthmover Data Marketplace.
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The LinkedIn post outlines that the session will cover the science behind the AI-S2S model, the structure of the dataset, and practical use cases for energy, insurance, and climate risk teams. It also notes that the webinar will address how to access extended-range forecasts at scale, potentially positioning Earthmover as a distribution channel for advanced climate and weather analytics.
For investors, the content suggests that Earthmover is deepening its role in the climate and weather data ecosystem by partnering with specialized providers such as Spire. This may enhance the platform’s value proposition to data buyers in risk-sensitive sectors, potentially supporting subscription growth and higher engagement on its marketplace.
The emphasis on applied use cases in energy, insurance, and climate risk hints at targeted verticals where demand for extended-range forecasts is growing. If Earthmover can convert webinar interest into paid subscriptions, this type of activity could translate into recurring revenue opportunities and reinforce its positioning within the broader AI and climate-intelligence market.