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Bloomsky

Bloomsky is a precision weather service solution provider and the world's first weather image-based, real-time, local, IoT weather data collection network. The company uses its self-developed IoT weather data collection equipment + big data AI algorithm to solve the problem of precise weather services in the Tiantian Diner industry. The company's products provide precise weather services for the meteorological industry, new energy, smart cities, and smart agriculture. The company's main creative staff is composed of a team of experts from domestic and foreign big data, meteorology, image recognition, and hardware technologies. They have many years of professional technology development & production and industry experience. The company has dozens of related patented technologies. As of 2020, Kantian Technology's products have served 300,000 users around the world, with more than tens of thousands of real-time online devices, distributed in more than 4,000 cities on 6 continents, in more than 100 countries. At the same time, it has accumulated more than 2 billion sky images with weather information around the world, making it the world's largest weather image database. Kantian Technology has complete industry technical expert resources and meteorological data resources, and can customize and develop exclusive industry weather solutions for different industry users in combination with industry characteristics. Kantian Technology focuses on the field of industry solutions, and has established deep cooperative relationships with important customers such as the China Meteorological Administration, local governments, new energy leading companies, and smart transportation solutions leaders. Kantian Technology is committed to the HaaS service model, customizing the most suitable precise weather forecast and industry solutions for customers. Kantian Technology has applications in smart cities, disaster prevention and mitigation, road transportation, smart agriculture, tourism, campus science and other industries.

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