You are currently viewing [Funding alert] Weather startup Skymet raises Rs 12 Cr in debt round

[Funding alert] Weather startup Skymet raises Rs 12 Cr in debt round


Skymet, a Noida-based weather forecasting and agriculture risk solutions company, has raised Rs 12 crore in debt funding from Northern Arc and Caspian Impact Investments, to bolster its ground observation systems and accurate prediction of floods and cyclones in East India.

 

According to Allied Market Research, the need for more accurate prediction has unleashed a wider domain for the global weather forecasting and services market to grow from $1.2 billion in 2016 to $2.7 billion by 2023. The recent investment by these two firms in Skymet boosts investors’ confidence in the weather and agricultural sector during these troubled times of the pandemic.

Yogesh Patil, CEO, Skymet Weather, said, 

“We are continuously scaling our network and improving our capabilities to help streamline ground observation networks in these trying times and continuously providing our services to various organisations.”

“The amount raised will help a lot in setting up more ground observation units in eastern India, which is very much prone to natural calamities like floods, cyclones etc which in turn would help our country to mitigate the risks and provide accurate data to farmers in those areas,” Yogesh added.

Skymet provides weather data services to numerous media houses and also works extensively in the farmers network by offering tech-enabled weather solutions to decrease their risk and in turn increasing their productivity. The company is increasing its focus on using the weather forecasting data for farming and is collaborating with different organisations to supply their needs for weather data so that it can be used for precision farming. 

Skymet has about 6,500 observation centres that provide real-time data on rainfall, thunder, lightning, and heat. The company aims to increase the size of the network and bring BFSI under insurance, lending as well as weather forecast and management.



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