Weather Intelligence

Forecasts, turned into business decisions

We build tailored prediction models, trained on your own data, that tell energy traders, insurers, and operators what's coming — and what to do about it.

Trusted by industry leaders
Allianz ČEZ Toyota Deloitte SAP Schneider Electric Iberdrola
“Thanks to Forecasts.cloud and its timely hyperlocal severe-weather warnings, we can significantly reduce the extent of weather-related claims — achieving double-digit cost savings.”
R. Juhanak · Head of Claims, Allianz

Beyond the weather.
We forecast the impact on your business.

What we do

Turn weather into a competitive edge

Start with your industry to see what we do for it — or go straight to the products. And if nothing quite fits, we build custom models trained on your own data.

By industry

How it works

From your data to decisions you can act on

1

We understand your business

Tell us about your locations, assets and what drives your operations. If you have historical data, we'll put it to good use — but it's not a requirement.

2

We build & deliver your model

Our AI engineers train a tailored model on your data — delivered in whatever form suits you best:

DashboardAPIReportsConsulting
3

You decide earlier, with confidence

  • Save costs
  • Boost efficiency
  • Automate decisions
  • Cut risks & delays
Powered by our technology

The engine behind our forecasts

40+
weather models
10 min
forecast updates
90 meters
forecast resolution
30 days
forecast horizon
99.9%
service uptime
7/365
meteorologist oversight
Satellite data · radar · observations · machine-learning correction · probabilistic forecasts · real-time processing
How it works in depth
Why forecasts.cloud

Precision you can build decisions on

By the numbers
  • 20 years of expertise in meteorology & business
  • 20 years of historical weather data
  • Updated every 10 minutes
What sets us apart
  • Hyperlocal forecast — down to 90 m
  • In-house AI engineers
  • Models trained on your data

Let’s prove it on your use case.

Bring us something real — a region, a season, or a product line — and we’ll show you what our forecasts and models can do. In a demo, a pilot, or a back-test. Whatever suits you best.

Discuss my use case