Skybrudd AS develops calibrated risk models that analyze extensive damage data to provide precise insights for damage prevention in climate adaptation efforts. By equipping public and private entities with tailored statistical analyses, the company enables informed decision-making to enhance resilience against climate-related risks.
Funding
Funding not disclosed
Founders
Product
Problem
Climate change is increasing the frequency and intensity of extreme weather events, leading to greater damage from floods and other natural disasters. Public and private entities lack precise, data-driven risk models to effectively prioritize and implement climate adaptation measures. This absence of accurate risk assessment hinders informed decision-making and efficient resource allocation for damage prevention.
Solution
Skybrudd AS develops calibrated risk models that provide public and private sector organizations with precise insights for damage prevention and climate adaptation. The company combines expertise in urban planning, geomatics, programming, and statistics to offer innovative risk models calibrated against extensive damage data. These statistical analyses are tailored to core activities in municipal planning and can be customized for organizations needing a statistical basis for damage prevention. By providing decision-makers with better tools, Skybrudd aims to contribute to a more resilient society in the face of climate change.
Target Audience
The primary customers are public sector entities such as municipalities and government agencies involved in urban planning and climate adaptation, as well as private sector organizations needing to assess and mitigate climate-related risks.
Features
- Runoff pattern mapping to identify probable water flow paths in terrain, improving upon traditional drainage line models.
- Damage data analysis, leveraging historical event data to identify risk areas and prioritize preventative measures.
- Integrated risk analysis combining building, topography, infrastructure, and local climate data to model risk.
- Customized statistical analyses tailored to specific client needs and challenges in risk assessment and damage prevention.