OpenWeather
global services
Weather forecasts, nowcasts and history in fast and elegant way
OpenWeather
We make hyper-local weather data open for any business
For each point on the globe, we provide historical, current and forecasted weather data via light-speed APIs.
4,000,000
customers use our API
2,500
new users every day
2 billion
requests a dayFrom small companies to Top 100 Fortune
Customers from different industries benefit from our weather data
insurance
Employing historical weather data to verify claims at the time of insurance event. Management of existing risks via forecasts and current weather data.
retail analytics
Sales prediction models in weather-sensitive industries (food, beverage, entertainment). Complex analytics that measure impact of weather on a particular business/project.
energy
Accurate, data-driven prediction of energy supply and demand. Trading advice, based on insights from forecasted weather data.
agriculture
Fast and convenient monitoring of current weather and damaging weather conditions (frost, thunderstorm, etc.) at fields for farmers to minimize risks of loss and more efficient farming.
logistics
Short-range forecasts to set up severe weather alerts for efficient route planning and minimizing risks of loss (delay/cargo damage).
Why OpenWeather
OpenWeather is a team of IT experts and data scientists that has been practicing deep weather data science since 2014.
Headquarters in London, UK
why OpenWeather
OpenWeather is a team of IT experts and data scientists that has been practicing deep weather data science since 2014.
Headquarters in London, UK
Our highly efficient technological platform is based on ML, neural networks, and data science technologies.
The proprietary convolutional neural network collects and processes wide range of data sources to cover any location and consider the local nuances of climate.
We collect and process weather data from different sources such as global and local weather models, satellites, radars and vast network of weather stations.
Ideal set of tools and weather data for Machine Learning developers
immense database via light-speed APIs
- Any location on the globe
- Minute by minute forecast
- 40 years of weather history
- Vast range of meteorological parameters
Transportation, logistics, insurance, retail and all other geographically distributed industries.
