There’s a reason that some of the world’s highest performing super computers are used for weather forecasting. It is a really hard engineering problem to solve.
And yet, using our unique insights into meteorology, physics and machine learning, we have found a way to make weather forecasts work. We could not just marginally improve what others had done, in 3 years of research we had to completely re-invent weather forecasting from the ground up.
We use data that nobody else can and our models predict phenomena that had not been known to physicists before. Our platform uses more data points for one city than all of the global meteorological services use for the entire world.
In summary, we use very large amounts of data and the latest technology to finally make weather forecasts work.
Industries like parametric insurance, renewable energies and autonomous delivery fleets will not reach their full potential unless they get accurate weather forecasts and environmental data. Weather forecasting services is a $7BN market, while weather services more broadly is a $30bn market. In other words: Many people care and they are willing to pay serious money for what we do.
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