For a super-speedy AI-powered weather forecasting tool, Atmo is worth a look. It uses deep learning models to process data from satellites, ground stations and other sources around the globe and produce forecasts at a hyperlocal level with unprecedented speed and accuracy. Atmo can produce forecasts up to 40,000 times faster than traditional models and offers detailed information, making it a good option for high-stakes decisions.
Another top contender is Tomorrow.io, a weather resilience platform that includes real-time weather data, 14-day forecasts and a generative AI system for personalization. Tomorrow.io's features are geared to optimize operations and to help you manage weather-related risks, so it's a good option for supply chain management and disaster recovery.
If you need hyperlocal weather forecasts with minute-by-minute resolution, Rainbow offers an API that's good for businesses that need precise weather data. Rainbow supports aviation and agriculture, among other industries, and offers pricing plans that scale up or down depending on your business needs.
If you want a single source of weather data, Weather Machine combines data from multiple APIs like The Weather Company and AccuWeather. It presents a unified interface so it's easy to plug into your apps, making it a good option for developers and businesses.