Weather intelligence and vessel optimization for maritime and energy operations
StormGeo delivers weather-driven decision support to maritime and energy operators, built on a diverse cloud-native stack (AWS, Azure, GCP, Kubernetes, Python, Java) with active GenAI integration underway. The engineering-led hiring profile—coupled with projects spanning LLM features, unified data platforms, and geospatial standards—indicates a pivot toward AI-augmented forecasting and operational automation, while internal friction around scaling AI pilots to production and fragmented dataset tooling suggests the org is managing the transition from point solutions to integrated intelligence.
StormGeo is a technology provider for weather-sensitive industries, primarily maritime and energy sectors. The company helps operators optimize vessel routing, manage voyage performance, ensure regulatory compliance, and reduce operational risk through real-time weather and business continuity intelligence. Founded in 1998 and headquartered in Bergen, Norway, StormGeo operates as part of Alfa Laval with 501–1,000 employees. The platform spans ship routing, risk management, voyage optimization, and environmental compliance, serving a global customer base across North America, Europe, South America, and Asia-Pacific.
StormGeo runs on AWS, Azure, and GCP with Kubernetes orchestration. Core languages include Java, Python, TypeScript, and C# (.NET Core). Data tooling covers SQL, Power BI, and REST/gRPC APIs. Infrastructure spans Docker, Linux, Windows, and VMware platforms.
Current projects include GenAI model deployment, LLM feature development, a unified dataset platform, bunker procurement and routing workflows, geospatial data standards, and enterprise network architecture design.
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