About
One Concern is a planetary-scale resilience software platform designed to make disasters less disastrous for global organizations. By fusing advanced hazard science with cutting-edge AI and machine learning, One Concern builds a digital twin of the physical world that reveals the intricate web of outside-the-fence risks—such as power outages, supply chain disruptions, and infrastructure failures—that can cause significant business interruption losses. The platform delivers a consistent, comparable metric for physical risk measured in time, enabling customers in capital markets, insurance, and real estate to evaluate and benchmark properties, companies, and sectors with unprecedented precision. Unlike outdated broad-brush climate risk approaches, One Concern's technology differentiates properties and businesses based on their real-world vulnerabilities tied to the infrastructure they depend on. Key use cases include quantifying uninsured business interruption exposure, pricing climate risk into financial products, stress-testing portfolios against disaster scenarios, and identifying strategic opportunities amid climate uncertainty. The platform has established strategic partnerships with leading global reinsurers such as Swiss Re, underscoring its credibility in the enterprise risk space. One Concern is purpose-built for enterprise clients in financial services, insurance, and real estate who need rigorous, data-driven intelligence to navigate the growing frequency and severity of natural disasters driven by climate change.
Key Features
- Physical Risk Quantification: Delivers a consistent, comparable metric for physical risk measured in time, enabling benchmarking of properties, companies, and entire sectors.
- Digital Twin of the Physical World: Builds a high-fidelity digital replica of infrastructure and supply chains to reveal hidden outside-the-fence risks that traditional models miss.
- Business Interruption Risk Analysis: Identifies and quantifies exposure to uninsured business losses stemming from power outages, supply chain disruptions, and other infrastructure failures.
- AI & Hazard Science Integration: Combines deep catastrophe modeling, data science, and machine learning to produce precision risk assessments far beyond broad-brush industry approaches.
- Climate Risk to Financial Risk Mapping: Bridges physical climate events to actionable financial insights for capital markets, insurers, and real estate investors navigating climate uncertainty.
Use Cases
- Insurers pricing business interruption coverage by quantifying infrastructure-dependent exposure for individual properties and sectors.
- Real estate investors benchmarking climate-driven physical risk across portfolios to identify underpriced or overexposed assets.
- Capital markets firms stress-testing investment portfolios against disaster and climate scenarios to reveal hidden financial liabilities.
- Reinsurers and risk managers uncovering uninsured business interruption losses driven by power grid failures and supply chain disruptions.
- Corporate risk officers identifying operational blindspots in their infrastructure dependencies ahead of extreme weather events.
Pros
- Precision Over Broad-Brush Estimates: Differentiates individual properties and businesses based on actual infrastructure dependencies, providing far more granular risk intelligence than legacy approaches.
- Enterprise-Grade Partnerships: Validated by top-tier partners like Swiss Re, lending strong credibility for regulated financial and insurance sectors.
- Consistent Cross-Asset Benchmarking: Offers a standardized risk metric in units of time, making it easy to compare and rank risk across diverse portfolios and geographies.
Cons
- Enterprise-Only Pricing: No self-serve or SMB tier is publicly available, making it inaccessible to smaller organizations or individual researchers.
- Limited Transparency on Methodology: The proprietary nature of the AI models and catastrophe modeling approach may make independent validation difficult for prospective customers.
Frequently Asked Questions
What types of risks does One Concern analyze?
One Concern analyzes physical climate and disaster risks including power outages, supply chain disruptions, natural disasters, and other infrastructure failures that can cause business interruption and financial loss.
Who is One Concern designed for?
The platform is designed for enterprises in financial services, capital markets, insurance, and real estate that need rigorous, data-driven physical risk intelligence for investment, underwriting, and strategic decisions.
How does One Concern measure risk differently from traditional approaches?
One Concern uses a consistent metric measured in units of time to quantify risk, and builds digital twins of physical infrastructure to reveal outside-the-fence vulnerabilities that standard broad-brush climate risk models overlook.
What is a digital twin in the context of One Concern?
A digital twin is a high-fidelity computational replica of physical-world infrastructure and supply chains that allows One Concern to simulate disaster scenarios and measure their cascading impact on businesses and properties.
Does One Concern integrate with other financial risk systems?
One Concern provides a data platform designed to feed into financial risk workflows, and has established partnerships with major reinsurers such as Swiss Re for integration into insurance and capital markets use cases.
