ClimateAi

A large multinational corporation with 11 divisions, including agricultural solutions, was grappling with the increasing climate volatility, particularly extreme weather events and persistent drought conditions. These were raising new concerns and creating challenges for strategic planning. The company was seeking better tools for a more uncertain world and a partnership that would jointly inform strategic decision-making. The first challenge was to increase the resilience of the supply of seeds and crops for buyers while improving the efficiency of producing new crop varieties at scale. The second challenge was to evaluate how the climate is expected to change over the next 10-20 years for two chosen crop locations, the India tomato seed and the Italy leek seed — and identifying alternative expansion sites. The third challenge was to identify “tipping points” for the company’s portfolio.

A leading global investment manager, with $9.7 billion of assets under management and 3 million acres across 600 properties in 10 countries, faced the challenge of assessing climate and water risk across its land-focused portfolio. The portfolio primarily consisted of permanent crops like pistachios, almonds, and wine grapes, which have long life cycles and require extensive planning. The team needed a reliable platform that could provide detailed insights into properties and potential threats to crops, as well as conduct a portfolio-wide analysis. The company also sought to understand how climate change would shape risks and emerging opportunities across over 2 million acres of land holdings globally and beyond, to new potential investments.

A leading producer of roofing materials was facing a challenge in understanding the forthcoming demand during the hurricane season. The company's demand was largely weather-based, with a surge in need for roofing materials following major storms as people, companies, and governments sought to rebuild homes and livelihoods. The company needed more detailed information to inform its manufacturing decisions, including the quantity and type of roofing material to produce. The challenge was to accurately predict the impact of the 2022 hurricane season on the demand for building materials, to enable better supply planning based on anticipated demand.