Provides an AI-driven climate risk assessment platform that integrates historical, real-time, and projected climate data with socio-economic and asset-level exposure information. This enables governments, businesses, and communities to quantify and manage risks from extreme weather events, supporting proactive adaptation and resilience planning through localized insights and real-time dashboards.
Funding
$160K 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 risks from extreme weather events and long-term climate change, but lack localized, actionable intelligence to quantify and manage these threats effectively. Existing climate data often lacks the granularity and integration with socio-economic factors needed for proactive adaptation and resilience planning.
Solution
ClimaSens provides an AI-powered climate risk assessment platform that integrates historical, real-time, and projected climate data with socio-economic and asset-level exposure information. The platform utilizes advanced machine learning and data fusion techniques to analyze and visualize climate hazards, offering insights tailored to specific geographies. ClimaSens quantifies the impact of climate and weather extremes, including heatwaves, floods, fires, and extreme winds, across multiple time frames. This enables governments, businesses, and communities to understand and mitigate the physical risks of climate change, optimize decision-making, improve resilience planning, and ensure compliance with climate risk regulations.
Target Audience
ClimaSens serves governments, businesses, and communities seeking to understand and mitigate the physical risks of climate change.
Features
- Multi-hazard climate risk assessment at the asset level, utilizing multi-temporal analytics incorporating historical and long-term projections.
- Detailed flood severity maps showing potential inundation levels based on rainfall patterns, river measurements, and topographical information.
- Heat risk mapping analyzing days over 35°C, population density, and community coping capacity, with future heat pattern predictions based on IPCC climate models.
- Social Vulnerability Index incorporating thirteen key demographic indicators from national census data to deliver a nuanced understanding of community risks.
- Enterprise-grade Climate Data Visualization Platform and API for accessing data and insights.
- Real-time alerts for potential flood events.
- Integration of national-level socioeconomic and asset-level exposure data with regional and local insights.