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We help you effectively manage your risks by using intelligent technology and big data

Tensoren Agri-Insurance System

The smart, one-stop system which seamlessly connects business development, product structuring, actuary, claims and reinsurance etc.

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Cloud Actuary

Structuring and quoting sophisticated index products with multi-peril, multi-location and multi-periods.

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Provide consulting services on risk assessment and insurance product development.

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Cloud actuary

real time quote for weather index products

Tensoren Agri-Insurance System

One-stop Agriculture Insurance System

Tensoren Academy

Provide insurance, agriculture, weather and climate related knowledge sharing.

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Tensoren received recognition from Dalian Commodity Exchange 2024-01-24
Tensoren received recognition from Dalian Commodity Exchange
Historic Launch of China's First Weather Derivative Deal 2023-08-04
In a momentous stride towards innovative risk management, China achieved a remarkable milestone on July 31, 2023—the inaugural launch of a weather derivative deal. The significance of this event reverberated through a distinguished assembly, including rep
Cloud Actuary 2020-10-25
Tensoren Cloud Actuarial System is based on meteorological and disaster big data, and uses cutting-edge predictive risk assessment methods and intelligent technology to provide risk analysis, insurance product design and pricing.
Summary of 2020-2027 Global Crop Insurance Market Outlook 2020-10-29
In 2019, the global crop insurance market was worth 34.05 billion U.S. dollars and is expected to reach 53.02 billion U.S. dollars by 2027, with a compound annual growth rate of 6.1% from 2020 to 2027.
China Banking Regulatory Commission: Establish an off-site monitoring mechanism to strengthen actuarial supervision of life insurance 2020-10-23
Actuarial supervision of life insurance in my country started with the "Insurance Law" of 1995 and gradually expanded to include actuarial regulations, chief actuary system, actuarial reports, and embedded value reports.
Weather data + machine learning to improve hydropower efficiency 2020-11-03
Our client is a medium-sized hydropower station in the south, and its power generation mainly depends on the inflow of water from a certain local river basin. After analysis, the monthly rainfall of the hydropower station is basically consistent with the

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