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Agvesto

Agvesto

Agvesto is an AI based company that provides financial management in the agricultural sector.

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agvesto.com
Is a
Company
Company
Organization
Organization

Company attributes

Industry
Machine learning
Machine learning
Technology
Technology
Agriculture
Agriculture
Insurance
Insurance
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Location
United Kingdom
United Kingdom
London
London
B2X
B2B
B2B
Founder
Srini Sundaram
Srini Sundaram
AngelList URL
angel.co/agvesto
Number of Employees (Ranges)
1 – 100
Founded Date
2013
0
Wellfound ID
agvesto

Other attributes

Company Operating Status
Active

Agvesto is an AI based company that provides financial management in the agricultural sector. The company is based in London and was founded in 2013.

Agvesto's technology is powered by data from real time earth observation satellites, climate science and financial models on a high performance computing infrastructure. To make forecasts and risk analysis, the platform studies climate data along with Gigabytes of satellites data. Agvesto's computing engine has processed over 200 million acres of crop land

worldwide to deliver on demand risk insights via API.

Agvesto uses infrared sensing technology for optical imagery on demand, and gives temporal coverage (global coverage every 3-4 days) and spatial coverage (meter to kilometer resolution). Its climate, weather & ground data includes climate indices, northern and southern hemisphere oscillations (AO, NAO, El Niño), records of daily weather data, and information regarding Heating Degree days (HDD) and Cooling Degree days (CDD). Agvesto uses Insurance portfolio loss ratio data by crop types and regions in selected countries.

Agvesto's risk engine is built to understand and model the risks in climate science and the financial products in order to evaluate their impact. The engine deploys stochastic modelling frameworks, dynamic models and empirical models to derive risk measures. Agvesto works with their clients to have real time visibility of systematic and exogenous risk exposure to help them sustain portfolio performance under emerging climate risk landscape.

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