HYPERR: AI weather modeling for the modern age
WeatherOptics proprietary Hyperlocal Enhanced Rapid Refresh model improves weather forecast accuracy by up to 50%
Sophisticated machine learning algorithms are meticulously trained using ASOS ground-truth observations alongside a blend of high performance mesoscale modeling
HYPERR employs optical flow and computer vision algorithms that analyze recent radar observations, ASOS data, and satellite images to predict the movement of precipitation
Every 15 minutes HYPERR updates using real-time, high resolution observations and predictive modeling that power the first 6 hours of the 180 hour WeatherOptics forecast engine
The result is a hyperlocal model with robust data that delivers forecasts down to a 3km granularity, and produces a 50% reduction in RMSE compared to standard NWP models
Built for high precision and accuracy
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Validated predictions that ensure the highest level of accuracy
Forecast accuracy is a top priority at WeatherOptics, and that includes constantly validating and monitoring our forecasts.
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The proprietary WeatherOptics forecast engine, which includes HYPERR, consistently outperforms other weather platforms who rely strictly on government model data.
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Our weather and impact modeling is continuously updated and vetted by third-party sources, and trusted by some of the largest brands and companies in the world.
Hyperlocal & timely data across the globe
Updated every 15 minutes
All forecasts are updated every 15 min so that you'll know about new delays as soon as we do.
Hyperlocal
Our data is captured on a 3km grid meaning we're able to pinpoint slowdowns by road segment.
Global coverage
Available in North America and Europe (Global data coming in 2022).
180 hour forecasts
All our datasets are forecasted hourly out to 7 days (14 days available upon request).
Don't spend resources interpreting weather data. We do that for you.
With WeatherOptics impact insights, you'll receive actionable recommendations such as "Tuesday morning shipments through Illinois will be delayed by 2 hours due to heavy snow."
We translate weather data into impact insights
Proprietary weather modeling
Business Impact & Geospatial data
Machine learning & real-time analysis
Impact Risk Scores built for business
Road Conditions Index
Weather-based driving risk and danger calculated from traffic flow and road capacity under various conditions.
Flood Index
Risk and danger of flooding based on rainfall and local hydrological factors.
Power Outage Index
Power outage risk based on weather, customer density, and other landscape factors on a 0-5 scale.
RightRoute
Route-based weather forecasts for shipment delay times and optimization
Built to scale
Our powerful APIs are designed for high-volume applications and can be called millions of times per month.
