“Almost every business on earth is affected by weather,” says Alexander Levy, an investor serial entrepreneur whose latest company is the new weather prediction startup Atmo.
The company, which graduated from Y Combinator earlier this year, has recently raised $2 million from Signia Ventures and Sound Ventures for its predictive software, because sometimes businesses do need a weatherman to know which way the wind blows.
Atmo was founded by Johan Mathe, a former Google X employee who worked on Project Loon, the business unit focused on providing internet connectivity via floating balloons that would create a network of wireless coverage in emerging markets.
“I spent a lot of time working on weather,” said Mathe. It was his job to find ways for the balloons to navigate different areas and much of that navigation was complicated by weather patterns, he said.
“As I needed to build that there was so much complexity from the sheer amount of data with the weather,” Mathe said. “I thought I have to build something to make the intersection of weather and AI much more available for everyone.”
That was the beginning of a four year journey, which culminated in Atmo (formerly known as Froglabs.ai), the Berkeley, Calif.-based startup that’s providing predictive weather analysis for businesses ranging from renewable energy to ice cream shops.
Levy, who had co-founded the drug discovery company Atomwise, knew Mathe socially and initially invested in his company when it was just an idea. But as he saw the value in weather data and made the jump from investor and advisor to co-founder.
Now Mathe, Levy, and chief technology officer Jeremy Lequeux all work from Levy’s Berkeley house as they develop their software and take their company to the next level.
And recent events make the need for the company’s services abundantly transparent. Since 2019, climate-related events have cost the US roughly $89 billion, according to data compiled by the National Oceanic and Atmospheric Administration.
“Every business is on this weather spectrum,” said Levy. “Let’s say you just are an ice cream location. Degree to which it’s hot or cold will affect your sales 10%. We’ve worked towards creating a general purpose predictive system and takes weather data on one hand and all the historical weather collected around the world. It compares the two and analyzes how are all of your key business metrics affected by the weather.”
The company already has a half dozen customers including two billion-dollar businesses in the renewable energy and eCommerce and logistics industries, Levy said.
“One of the areas that we work on is risk and extreme weather, like how do you predict these fluke events that you have very little intervention around,” said Levy. “We make that kind of prediction separate and apart from how you can best optimize when things are in a relatively normal state.”
Demand is only going to increase as these extreme events become more common, because governments and businesses will be looking at ways to improve their ability to withstand or adapt to these catastrophic conditions. “There’s a need because everybody is talking about resilience these days,” said Levy. “I see Atmo as the company that’s going to provide these insights for the big companies that are concerned about this problem now.”
