Weather volatility drives critical decisions across major industries, yet companies rely on outdated forecasting and manual planning. Traditional numerical weather prediction requires expensive computations and degrades in accuracy beyond 3-4 days. Despite recent AI breakthroughs achieving 1000x efficiency gains in forecasting, no tools exist to translate these predictions into optimal business actions. Industries continue to react to weather impacts rather than proactively optimize operations. This gap costs billions annually.
omenic bridges this gap. Founded by two ETH Zürich PhDs, we deliver a B2B SaaS platform that goes beyond forecasting, integrating AI weather models with optimization engines to deliver real-time automated decision-making for weather-sensitive industries. SOM: ¬2B.
