Road logistics operators in the United States often face revenue loss due to the inability to operate in severe weather conditions, particularly in Northern states. Autonomous trucks, such as those developed by Embark Trucks, have the potential to transform the industry, but they face their own challenges. Autonomous vehicles (AVs) rely on sensing technologies like LiDAR, radar, and optical cameras to collect visual data from their surroundings, which is then combined with maps and algorithms to make decisions. However, even the most advanced sensing technology can struggle with accurate detection and interpretation of road conditions in adverse weather. Embark needed not only on-road testing but also accurate and complete historical weather datasets to fully understand the implications of such conditions on its self-driving solution.

KUBRA, a leading provider of cloud-based customer experience management solutions, faced a challenge with their Storm Center power outage map solution. The Storm Center, a mobile-friendly platform, allows users to visualize the impacts of severe weather on their local utility or telecom provider. However, as the popularity of the feature grew, KUBRA needed a weather data provider that could both enhance the outage mapping experience and handle the large volume of clients they were serving, which was over 61 million meters and growing. The provider needed to offer developer-friendly radar layer integration for improved visuals, expanded layer options such as lightning, tropical cyclones, forecast precipitation, storm tracking, and storm cells, and scalability to allow for great fluctuations in traffic/demand due to extreme weather events.