CI Metrics provides image processing and machine learning analytics for satellite and drone data, enabling precise measurement and monitoring of climate risks. The company develops customized risk indices by fusing satellite imagery with terrestrial datasets, delivering actionable insights for sectors such as agriculture and defense.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations across sectors lack precise, timely methods for measuring and monitoring climate-related risks, hindering effective adaptation and mitigation strategies. Traditional risk assessments often rely on incomplete terrestrial data and lack the comprehensive, up-to-date perspective offered by remote sensing. This limits the ability to quantify and predict the impact of climate change on specific assets and operations.
Solution
CI Metrics provides image processing and machine learning analytics that leverage satellite and drone data to deliver precise measurement and monitoring of climate risks. The company fuses satellite imagery with terrestrial datasets to develop customized risk indices tailored to specific sectors, such as agriculture, defense, and carbon management. By applying advanced deep learning algorithms to raw and Analysis Ready Data (ARD) imagery, CI Metrics extracts key attributes and generates predictive insights on risk. This enables organizations to gain a comprehensive understanding of climate-related vulnerabilities and make informed decisions to protect their assets and operations.
Target Audience
The primary target audience includes organizations in agriculture, defense, carbon management, and other sectors exposed to climate-related risks, as well as research and development teams seeking to outsource core development while retaining intellectual property.
Features
- Data fusion of satellite, drone, and terrestrial datasets for comprehensive risk assessment
- Development of custom climate and parametric indices tailored to specific user needs
- Application of deep learning algorithms for raw and ARD imagery processing
- Predictive insights on risk through AI-driven forecasting models
- Monitoring capabilities using optical, hyperspectral (HS), and Synthetic Aperture Radar (SAR) satellite data, as well as drone imagery
- Generation of custom reports based on 20 years of historical data
- Rapid proof-of-concept development (15 days)