Martin Venver knows a lot about the weather. Fengler obtained a doctorate in mathematics, focused on the numerical prediction of the weather, before working at Meteomedia Ag, a network of weather stations in Switzerland and Germany. But while he knew a lot about predicting weather on the side, he realized the gaps that remained on the side of consumption when he started working towards his pilot license in 2011.
“I have learned a lot about the prediction of the weather from the user perspective,” Fengler told Techcrunch. “Of course, it differs greatly from the aspiration of weather forecast as a mathematics scientist and reduce error measures. But sitting in an air landing and you cannot fly due to fog or bad expectations, that was completely open.”
Fengler decided to launch its own ritual company, and the meteorology began in 2012. St. Gallen, Switzerland, weather data from more than 110 sources in addition to collecting data from drones from self -weather. This mixture of data sources allows to update weather forecasts every hour and prepare accurate predictions for areas that do not exceed one kilometer.
Meteorology It places all this information in one place for its customers and building an application programming interface above it so that its customers can use the data they see suitable, including the operation of their AI algorithms. Fengler, CEO, added that the fact that Meteomatics translates weather data into a single uniform structure that looks simple but its own achievement.
“She was dealing with complex big files and data format very specific to these industries, there is no significant standard about it,” said Fajler. “It was brought in the applications of applications for this industry, such as bringing light to the blind.”
Fengler said that this focus on building a ritual company aims at institutions, or the commercial sector in general, distinguishes it from most weather companies because many of them focus on one region and one audience.
“Most weather companies focus on the media industry and I didn’t like it,” said Vinler. “It is a lot about television and radio, but there is a great demand for industry, and I was always fascinated by the topics that customers deal with.”
Meteomatic now works with more than 600 customers, including large companies like Tesla, CVS Health and Swiss Re, among others. Fengler added that although some cases of institutions to treat meteorology are more clear, such as the renewable energy company that uses weather data to predict the results from wind or solar farms, others are less than that, and Fengler said he learns the issue of using a new weathering institution Data almost every week.
Institutions are likely to search for this type of data as well as climate change effects continue to become more intense. Climate disasters cost $ 150 billion a year, In the United States aloneWith companies that bring a percentage of these costs.
Meteomatics just raised a $ 22 million chain chain led by Armira Growth with the participation of the Alantra Transition Fund, Klima and Fortone Group, among other things. Fengler said that the company has intentionally re -invested the business during its 12 -year -old business, which allowed the start of operation to avoid collecting a ton of capital.
Fengler added that they usually raise a new round when they look to put money towards a specific project or initiative. This chain C tour does not differ, as the company plans to use the capital to work to expand in the United States by employing a sales and marketing team that focuses on the region.
Some of the money will also be placed towards the construction of the company’s technology. Fengler’s great vision is to bring precise weather, known to reach a square kilometer, to the entire globe. This level of privacy is currently available throughout Europe and must be available in the United States by the end of the first quarter.
“This is still the northern star of Meteomatics,” said Fengler. “It makes me wake up in the morning. I think a firm belief that we will be able to present one world model one kilometer one day.”
