One Concern is a resilience analytics company that leverages artificial intelligence, machine learning, and digital twin technology to help governments, enterprises, and critical infrastructure providers better understand and manage disaster and climate-related risks.
Founded in the aftermath of the 2014 earthquake in Nepal, One Concern focuses on quantifying the fragility and interdependencies of infrastructure networks. By simulating the impact of hazards such as floods, earthquakes, and climate change, the platform enables data-driven resilience planning and investment.
Headquartered in California with operations globally, One Concern offers a dynamic resilience-as-a-service platform that supports both real-time emergency response and long-term climate adaptation.
Features
One Concern provides a comprehensive platform built around digital twin technology, AI, and high-resolution hazard modeling.
At the core is the Resilience Analytics Platform, which simulates how natural hazards and climate-related events impact infrastructure systems and communities.
Key features include:
Digital twins of infrastructure networks, including roads, utilities, and buildings
Hazard modeling for floods, earthquakes, and other physical climate risks
Interdependency modeling to understand cascading failures across systems
Predictive analytics for real-time impact forecasting and scenario analysis
Resilience scoring to quantify the vulnerability and adaptive capacity of assets
Geospatial visualization dashboards that enable stakeholders to identify and prioritize risk
The platform supports decision-making before, during, and after disasters, helping organizations understand which assets are at risk, how systems will respond, and where to invest in resilience.
One Concern’s system uses a combination of public and proprietary datasets, remote sensing, and AI to deliver granular and dynamic insights tailored to specific locations.
How It Works
One Concern builds high-resolution digital twins—virtual replicas of real-world infrastructure systems—and then runs simulations of hazards to analyze their effect on these systems.
First, the platform collects geospatial and infrastructure data, such as asset location, construction type, material, usage patterns, and system connectivity.
It then layers in hazard models, which simulate how physical events like floods or earthquakes will interact with the infrastructure network.
Using AI and machine learning, the platform models interdependencies, identifying how failures in one part of a system (e.g., a power substation) will impact others (e.g., water supply or transportation).
Users receive impact forecasts, resilience scores, and risk rankings, which can be visualized on a map-based interface or exported for deeper analysis.
This allows stakeholders to perform scenario planning, estimate downtime and loss, prioritize capital investment, and coordinate emergency response more effectively.
The platform can also simulate climate change scenarios, helping cities and companies plan for future disruptions under different emissions pathways.
Use Cases
One Concern’s resilience analytics serve a broad range of stakeholders across public and private sectors.
City and municipal governments use the platform for disaster preparedness, infrastructure investment planning, and resilience reporting.
Critical infrastructure operators, such as utilities and transportation agencies, use One Concern to understand risk across networks and build operational continuity plans.
Real estate developers and asset managers use resilience scoring to assess location-based risk and make informed development decisions.
Insurers and reinsurers use the platform to improve underwriting models, identify exposure hotspots, and offer clients more precise risk evaluations.
Emergency management agencies rely on One Concern during natural disasters to simulate impact in real-time and prioritize rescue or repair operations.
Climate adaptation teams in both government and industry apply the platform to understand how changing hazard patterns affect long-term infrastructure resilience.
Pricing
One Concern does not publish standard pricing publicly. The cost of using the platform depends on the following variables:
Geographic scope and number of assets
Types of hazard models and scenarios included
Level of customization and data integration
User access (dashboard vs. API integration)
Support, training, and consulting services required
One Concern works with clients to deliver custom enterprise solutions and resilience partnerships.
Interested organizations can request a demo or consultation through the official website to explore use cases, platform capabilities, and pricing structures tailored to their needs.
Strengths
One Concern offers a unique combination of digital twin modeling, AI, and disaster science, delivering predictive insights that go far beyond traditional risk assessments.
Its ability to simulate infrastructure interdependencies allows users to prepare for cascading failures, a critical concern in disaster management.
The platform delivers quantitative resilience metrics, enabling organizations to track progress and justify investments in adaptation.
By focusing on physical climate risk and real-time hazard simulation, One Concern addresses a growing gap in both ESG reporting and disaster response planning.
The tool is designed for both planning and operations, making it valuable across the full lifecycle of resilience strategy—from design to emergency.
Global use cases and cross-sector partnerships demonstrate its adaptability to urban, rural, and industrial contexts.
Drawbacks
The platform’s depth and complexity may require onboarding support and technical expertise, which can increase implementation time.
No free trial or open-access version is currently available, which may limit accessibility for small municipalities or nonprofit users.
While powerful, the system is primarily built for enterprise-scale clients, and may be cost-prohibitive for smaller organizations.
Customization requires access to detailed infrastructure and asset-level data, which may not be readily available in some regions or sectors.
Comparison with Other Tools
Compared to climate risk tools like Jupiter Intelligence or Terrafuse AI, One Concern offers a more infrastructure-focused and operational resilience approach, not just hazard exposure mapping.
Unlike generic GIS tools like Esri ArcGIS, One Concern is built specifically for resilience simulation, with embedded AI and physical hazard models.
Where ESG platforms like S&P Global Sustainable1 focus on portfolio-level climate risk ratings, One Concern delivers asset-level predictive analytics with interactive simulations.
Its real-time operational focus sets it apart from static climate models and makes it highly suitable for emergency response and disaster management.
Customer Reviews and Testimonials
One Concern has worked with major city governments, infrastructure operators, and resilience leaders globally.
Clients have praised the platform for its ability to reveal hidden vulnerabilities, improve cross-department collaboration, and support data-backed infrastructure investment.
Government partners have used the system to prioritize critical lifelines, such as hospitals, roads, and power lines, and enhance disaster recovery planning.
One Concern has been featured in The Economist, Bloomberg, TechCrunch, and World Economic Forum for its innovation in resilience and AI for public safety.
Conclusion
One Concern is a transformative platform for organizations seeking to quantify, understand, and act on physical climate and disaster risks. With its AI-powered resilience analytics, the company empowers users to shift from reactive recovery to proactive adaptation.
By modeling how infrastructure systems respond to hazards—and how those risks evolve with climate change—One Concern provides an indispensable tool for safeguarding communities, assets, and operations in a volatile future.
