The Intersection of Science, Product, and Business.
 
 

WHY CANOPY

We’re passionate about understanding, at a fundamental level, how the abstract physics of weather and climate intersect with and influence day-to-day business operations. As any chef worth their salt will tell you: ingredients matter. Our solutions are made from scratch to answer the questions that matter to you most.


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Expecting even the best weather dataset to work across all business applications is a pipe dream. Weather data has an inherent fuzziness to it that must be accounted for at the very beginning of the design process. We identify the business application FIRST, then design our science and datasets from the ground up to match that application. This approach enables us to deliver real-world results that are unachievable any other way.”

DON GIULIANO | CO-FOUNDER, DATASET DESIGN

 
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“Even today, current industry standards rely on approximating  weather conditions in a given geographical area, not the actual impact of the storm. For instance, we surveyed property damage caused by dozens of hail storms across several states and learned that max hail size is only part of the story. Intuitively, of course, everyone knows this. What we’re doing is using this information to begin quantifying direct, real-world impacts. We look forward to helping key industry leaders use weather data in ways more directly applicable to their business needs.”

MATT VAN EVERY | CO-FOUNDER, BUSINESS APPLICATIONS


 
 
 
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If you use weather-related data products in your business, you may already know that the industry is in need of a reset. But you probably don’t know why. That’s because most companies who provide these products have a dirty little secret.

You see, to get a clear answer to your specific problem, you first have to ask the right questions. That’s no secret. What is hidden from view is that nearly all weather companies build their products on core technology designed by the National Weather Service to answer questions unrelated to your needs.

How can this be?

In short: it’s expensive and time consuming to solve your specific problem. 

In length: Asking the right questions is essential to getting the right answer. And to ask the right questions, we have to start from scratch. We must build our own technology, based on original science, starting with the most basic ingredients. That’s difficult, costly, time consuming, and risky. 

It’s much easier to take existing data sets (generated to answer a different set of questions about someone else’s problem), repackage them and say “close enough.” And that’s worked for many weather companies because, in most cases, “close enough” was better than nothing. There was no alternative. 

Until now.


Canopy Weather is here. We’re creating application-first answers that work in the real world. And you’re invited.