Pricing physical climate risk

Bringing together climate science data, advanced agroeconomic modeling, and adaptation solutions, finres provides data to farmers and the agricultural sector, to understand and mitigate physical climate risk in farming

Science-based solutions

Advanced agronomic models use advanced machine learning and artificial intelligence to integrate and localize meteorological observations and climate projections, agronomic parameters, and yield observations

Building agricultural resilience

Our tools and solutions support investors in the cycle of resilience: understanding (r/aware) and evaluating (r/rating) climate risks to prioritize investment decisions (r/invest) - taking into account current and future climates

Resilience in action

Raising capital for resilience with public agricultural banks

Support to an international public bank and agricultural banks in raising capital for the resilience of agriculture in the Sahel
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Weathering the Storms: Mapping France’s Agricultural Future with Machine Learning

Finres produced the first ever high-resolution, geo-specific crop risk and adaptation prioritization analysis for the French agricultural sector.
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Supporting the ARCAFIM Project Transforming African Agriculture

Finres conducted detailed adaptation analyses across nine countries, utilizing advanced modeling techniques to augment existing datasets through machine learning algorithms.
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Proven Expertise, Global Reach

With its international team headquartered in Paris, finres has worked with partners to provide analysis and solutions across 32 countries, informing $1.4 billion of investment in resilient agriculture. By making climate risk and the opportunities of adaptation widely accessible, finres is transforming the ability of the agricultural sector to prepare and protect itself from climate change.
+32
countries worked in
$1.4 bn
investments influenced
+ 25
banks worked with
4 mn
farmers supported