Martin Fengler knows a lot of time. Fengler has obtained his research doctorate. In mathematics, focused on numerical meteorological forecast, before working for Meteomedia AG, a network of weather stations in Switzerland and Germany. But while he knew a lot about the weather forecast on the forecast side, he made the gaps that remained on the side of consumption when he started working for the piloting license in 2011.
“I learned a lot about the weather forecast from the user’s point of view,” Fengler said to Techcrunch. “It is, of course, very different from looking at the weather forecast as a mathematician and to minimize error measures. But sitting at a landing track and you cannot fly due to the fog or a bad forecast, which has been open enough. “
Fengler has decided to launch his meteorological company and started the weather in 2012. The company based in Switzerland of St. Gallen, based in Switzerland, extracts meteorological data from over 110 sources as well as collecting data from its autonomous meteorological drones . This combination of data sources allows the weather to update its weather forecast every hour and make precise forecasts for areas for a minimum of a square kilometer.
Meteomics puts all this information in a single place for its customers and has built an API so that its customers can use data on how they believe it appropriate, including the management of their artificial intelligence algorithms. Fengler, CEO, added that the fact that the weather translates the meteorological data into a uniform structure seems simple but it is a proper business.
“It was dealing with complicated large files, formats of very specific data for these sectors, there is little standard about that,” said Fengler. “Bring bees to this sector was like bringing blind light.”
Fengler has said that this attention to the construction of a meteorological company aimed at companies or the commercial sector in general, distinguishes it from most weather companies because many are focused on an area and an audience.
“Most of the weather companies focus on the media sector and I didn’t like it,” said Fengler. “It concerns a lot of TV and radio, but there is a huge request from industry and I have always been intrigued by the topics with which customers have to do.”
Meteomics now work with over 600 customers, including large companies such as Tesla, CVS Health and Swiss Re, among others. Fengler added that while some corporate use cases for weather are more evident, such as a renewable energy company that uses weather data to predict the results of their wind or sunscreen, others are less, and Fengler said which discovers a new case of company use for time given almost every week.
Companies will probably also seek this type of data as well as the impacts of climate change continue to become more intense. Climate catastrophies cost $ 150 billion a year, only in the United States, with companies that have made a percentage of these costs.
Meteomics have just collected a $ 22 million Serie C round guided by the growth of Armira with the participation of the Energy Transition Fund of Alantra, Klima and Quartyone Group, among others. Fengler said that the company intentionally reinved the money he made again in the company for his 12 -year history, which allowed the startup to avoid collecting a ton of capital.
Fengler added that they usually collect a new round when they are trying to put money for a specific project or initiative. This Serie C round is no different, since the company plans to use capital to work on its United States expansion by taking on a sales and marketing team focused on the region.
Some of the rounds of the round will also be placed to build the company’s technology. Fengler’s great vision is to bring a precision climate, defined up to a range of kilometers at one level, to the whole world. This level of specificity is currently available in Europe and should be available in the United States by the end of the first quarter.
“This remains the north star for the weather,” said Fengler. “It makes me raise in the morning. I firmly believe that one day we will be able to provide a global model of a kilometer. “
