MLog Tianqijia

MLog Tianqijia

MLog Tianqijia is a weather service company using meteorological forecast technology and big data to offer meteorological services.

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Valuation: CNY2.1b

Series D
Total Funding000k

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USD2023
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EBITDA0000
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Source: Dealroom estimates

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MLog Tianqijia, officially known as Xiangji Technology, is a commercial meteorological service provider established in November 2014. The company was founded by CEO Qiu Heng, a graduate of Peking University's Department of Atmospheric Sciences, and co-founder Lin Zhong, who has a background from the Chinese Academy of Meteorological Sciences. Both founders previously worked as core meteorological analysts at Longyuan Power, Asia's largest wind power developer, where their experience in assessing wind resources for power plant locations highlighted the significant commercial value of precise weather data. This insight, coupled with the acquisition of The Climate Corporation by Monsanto, catalyzed their entrepreneurial journey.

The firm operates at the intersection of meteorology and big data, converting complex weather and climate data into actionable intelligence for enterprise clients. Its business model focuses on providing customized, high-resolution meteorological services that help companies mitigate risks, reduce production losses, and improve operational efficiency. MLog Tianqijia serves a diverse client base across sectors such as new energy (wind and solar power), agriculture, insurance, environmental protection, water conservancy, construction, and aviation. Revenue is generated by delivering these specialized data products and solutions. The company has secured significant funding over the years, closing a Series D round in July 2025, which followed C and C+ rounds in 2021.

MLog Tianqijia's core offerings are built upon three main technical pillars: the "Gavial" spatio-temporal big data platform, the "AI-Weather" intelligent forecasting core, and the "Quick Earth" visualization engine. The "Gavial" platform is a comprehensive suite for managing various spatio-temporal data needs across different industries. The "AI-Weather" core utilizes a dual-engine approach, combining machine learning with numerical models to deliver high-resolution forecasts for a wide range of meteorological elements. The "Quick Earth" engine provides two and three-dimensional visualization of weather-centric data. Through these technologies, the company offers tailored solutions like grid weather services for power companies, risk management tools for digital agriculture, and expert consulting services, enabling clients to make informed decisions based on precise weather intelligence.

Keywords: commercial weather services, meteorological data, climate intelligence, weather forecasting, big data analytics, risk management, energy sector, agriculture technology, insurance weather data, environmental monitoring, spatio-temporal data, AI forecasting, MLog Tianqijia, Xiangji Technology, Qiu Heng, weather risk mitigation, renewable energy forecasting, precision agriculture, climate data solutions, disaster prevention

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