EarthCare.ai provides a climate intelligence platform that simplifies access to 30 years of historical and 75 years of predictive climate data through a user-friendly API. This technology enables businesses in the energy, insurance, and finance sectors to make informed decisions, reducing the $300 billion in annual damages caused by severe weather events.
Funding
Funding not disclosed

Founders
Product
Problem
Businesses face increasing financial risks due to severe weather events, resulting in billions of dollars in damages annually. The complexity and inaccessibility of climate data hinder informed decision-making, leaving many business decisions disconnected from climate considerations.
Solution
EarthCare.ai offers a climate intelligence platform that transforms complex climate data into actionable insights, enabling businesses to make climate-aware decisions. The platform provides access to historical and predictive climate data through an API, allowing users to analyze climate threats at any location. By integrating AI and physical forecasting models, EarthCare.ai delivers accurate, hyper-local weather forecasts and risk assessments. This technology empowers organizations to monitor assets in real-time, prepare compliance reports, and forecast energy output, ultimately mitigating climate-related risks and improving operational resilience.
Target Audience
EarthCare.ai primarily serves businesses in the energy, insurance, finance, consulting, real estate, development, and agriculture sectors seeking to integrate climate intelligence into their operations and decision-making processes.
Features
- API access to 30 years of historical climate data and 75 years of predictive climate data
- Hyper-local weather forecasts with increased accuracy using AI models trained on sensor data
- Climate risk reports compliant with CSRD, EUDR, and ESG standards
- Real-time monitoring of assets using live API data and alerts
- Integration of satellite, radar, and weather station data for comprehensive climate analysis
- Tools for assessing climate hazards and vulnerabilities for various locations
- Support for energy output forecasting and predictive maintenance