ClimateAI provides an AI-powered climate resilience platform that utilizes patented machine learning models to analyze hyper-local climate and weather data, enabling businesses in the food and agriculture sectors to make informed operational decisions. The platform helps companies mitigate physical climate risks by delivering actionable insights and customizable dashboards, enhancing supply reliability and productivity.
Funding
$22M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
FRFounders
Product
Problem
Businesses in the food and agriculture sectors face increasing challenges due to climate volatility, including unreliable supply chains, reduced productivity, and difficulty in making informed operational decisions. Existing weather models often lack the hyper-local precision needed to effectively mitigate physical climate risks.
Solution
ClimateAI offers ClimateLens, an AI-powered climate resilience platform that delivers hyper-local climate and weather insights to businesses across the food and agriculture value chain. The platform applies patented machine learning models to analyze climate and weather data from multiple sources, generating actionable insights at a 1km spatial resolution. ClimateLens enables users to quickly onboard using pre-built templates, receive key alerts, and build custom, shareable dashboards. This allows companies to inform in-season actions, adapt operations, source smarter, and invest confidently, even without in-house data science expertise.
Target Audience
The primary customers are businesses in the agribusiness, food and beverage, and finance sectors who need to build climate resilience into their operations and supply chains.
Features
- AI-powered climate risk modeling for short and long-term insights
- Patented machine learning models that dynamically select the right forecast for each location based on historical performance
- Hyper-local climate and weather insights at a 1km spatial resolution
- Customizable dashboards for visualizing key alerts and insights
- Integration of multiple data sources for comprehensive climate risk assessment
- Generative Adversarial Networks (GANs) to correct biases in global weather models and downscale them to a high resolution