L3Harris Helios

Frogcast is a global weather forecast API that delivers ultra-accurate, hyper-localized weather forecasts by combining more than 20 numerical weather prediction models with cutting-edge artificial intelligence and heterogeneous geospatial data from world-class providers such as ECMWF and NOAA, earth observation sources, and ground-based measurements to support critical decisions in sectors like agriculture, construction, logistics, retail, insurance, environment, transport, and health. Its RESTful API provides access to over 26 meteorological variables with forecasts up to 15 days ahead, probabilistic forecasts with confidence intervals and quantiles for richer insight, and high spatial resolution down to 1 km with 90 m topographic detail to target specific locations. Frogcast’s platform offers seamless integration with existing systems and applications through easy-to-use API endpoints using standard web protocols and JSON data, enabling real-time and historical weather data.

MetGIS is a high-precision weather data platform that combines advanced numerical weather prediction models with extremely detailed terrain information to produce ultra-accurate forecasts and meteorological insights. MetGIS’s name reflects its core strengths: “Met” for meteorology and “GIS” for geographic information systems, enabling forecasts that integrate exact altitude and location data for improved detail and relevance. This makes it especially reliable in complex environments like mountainous regions where conventional forecast systems struggle. It delivers weather information through a suite of weather APIs designed for easy integration into websites, mobile apps, and enterprise systems. These include services for point-specific weather forecasts, high-resolution weather layers for mapping applications, historical weather data, long-range forecasts, and weather warnings — all with spatial resolution down to around 30 meters.