Martin Fengler knows a lot about the weather. Fengler obtained a doctorate. In mathematics, he focused on numerical weather forecasts, before working for Meteomedia AG, network of weather stations in Switzerland and Germany. But although he knew a lot about the weather forecast on the part of the forecast, he realized that the gaps remained on the side of consumption when he began working on the pilot license in 2011.
“I learned a lot about forecasting the weather from the user’s perspective,” said Fengler Techcrunch. “Of course, this is significantly different from looking at the weather forecast as mathematics and minimizing error measures. But sitting at the start and you can’t fly because of the fog or bad forecast, it was quite opening the eye. “
Fengler decided to launch his own weather company and began meteomatics in 2012. A company from St. Gallen, a Swiss company, pulls out weather data from over 110 sources in addition to collecting data from its own autonomous weather drones. This combination of data sources allows meteomatics to update weather forecasts every hour and make precise forecasts for areas dependent on one square kilometer.
Meteomaty He introduces all this information in one place for his clients and has built an API interface on it so that his clients can use data as they consider appropriate, including the launch of their very own artificial intelligence algorithms. Fengler, CEO, added that the undeniable fact that meteomatics translates weather data into one uniform structure seems easy, but is its own feat.
“This was aimed at complicated large files, data formats that are very specific to these industries, there are few standard around it,” said Fengler. “Moving the API interfaces to this industry was like bringing light to the blind.”
Fengler said that he focuses on building a weather company directed to enterprises or in general, distinguishes it from most weather corporations, because many of them focus on one area and one audience.
“Most weather companies focus on the media industry and I didn’t like it,” said Fengler. “It’s about television and radio, but there is a huge demand on the part of industry and I have always been intrigued by the topics with which they deal with which they are dealing.”
Meteomatics now cooperates with over 600 clients, including large enterprises, similar to Tesla, CVS Health and Swiss Re. Fengler added that although some cases of using a enterprise for meteomatics are more obvious, similar to a renewable energy company, using weather data to predict the results of wind or solar farms, others are less, and Fengler said that he learns about the recent use of the company for the recent item for Weather weather weather almost every week.
Enterprises will probably look for this kind of data more and more, because the impact of climate change is becoming more and more intense. Climate disasters cost $ 150 billion a 12 months, Only in the USAwith corporations raising from the percentage of these costs.
Meteomatics has just raised a round of $ 22 million series of Series, raised by Amir, growing with participation, among others, the energy fund ALANTRA, KLIMA and Fortyone Group. Fengler said that the company intentionally invested the money he earned for operations due to its 12-year history, which allowed the startup to avoid collecting a lot of capital.
Fengler added that they sometimes raise a recent round when they wish to put money on a specific project or initiative. This C round is no different, because the company plans to make use of capital to work on expanding in the USA by employing a sales and marketing team focused on the region.
Some money from the round will even be directed to the construction of the company’s technology. The great vision of Fengler is the introduction of precise weather, defined as the whole globe to the whole globe. This level of specificity is currently available throughout Europe and ought to be available in the US until the end of Q1.
“It remains the northern meteomatics star,” said Fengler. “It makes me get up in the morning. I strongly believe that one day we will be able to provide a global model of one kilometer. “