Geoneon utilizes AI-driven geospatial data analysis to quantify climate physical risks, enabling stakeholders to make informed decisions and enhance reporting. Their technology provides precise vegetation mapping and wildfire severity predictions, addressing the complexities of climate risk management for organizations of all sizes.
Funding
$66.1K 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.
Founders
Product
Problem
Organizations face increasing complexity in understanding and managing climate-related physical risks due to the difficulty in interpreting complex geospatial data and a lack of specialized expertise. This can lead to inadequate risk assessment and insufficient preparation for potential climate-related events.
Solution
Geoneon provides AI-driven geospatial solutions that map climate physical risks and vegetation, delivering actionable insights for informed decision-making and enhanced reporting. The company's technology offers detailed vegetation mapping at varying resolutions, distinguishing between tree, non-tree, and no-vegetation areas, including vegetation height estimation. Geoneon also offers a Wildfire Severity Index that integrates vegetation, topography, and climate data to predict potential wildfire severity. These solutions enable stakeholders to make data-driven decisions with confidence and ease, leveraging consistent data analysis and AI-powered processing to reduce the time required for comprehensive climate risk mapping.
Target Audience
Geoneon serves businesses, government agencies, and non-profit organizations seeking to proactively monitor and manage climate physical risks and enhance their sustainability efforts.
Features
- High-resolution (0.3m) and standard-resolution (10m) vegetation mapping, differentiating between tree, non-tree, and no-vegetation areas.
- Vegetation height estimation for urban planning and environmental conservation.
- Wildfire Severity Index integrating vegetation, topography, and climate data at high-resolution (0.5m) and standard-resolution (10m).
- AI-powered data processing for consistent and reliable physical risk assessments.
- Scalable solutions using satellite data for global insights.
- Regular updates to keep users informed of changes in climate physical risk landscapes.