Available Climate Risk Management Features
Missing Climate Risk Management Features
Pricing
Starting Price
Options
Available Since
Deployment Options
Good Option For
Deep dive
Core Features
Multi-Hazard Risk Modelling: One Concern models multiple hazards, including floods, earthquakes, wildfires and storms, using probabilistic and scenario-based approaches.
Asset & Infrastructure-Level Risk Assessment: The platform assesses risk at the level of individual assets, infrastructure networks and urban systems.
AI-Driven Impact & Damage Estimation: Machine learning models estimate potential damage, downtime and service disruption under different hazard scenarios.
Geospatial Mapping & Visualisation: Interactive GIS-based maps enable spatial analysis of hazards, vulnerabilities and impacts.
Scenario & Resilience Planning: Supports evaluation of mitigation and adaptation measures to reduce risk and improve resilience outcomes.
Plans & Pricing
One Concern is offered as a subscription-based, enterprise-focused platform.
Pricing is not publicly disclosed and typically depends on:
Geographic coverage
Number and type of hazards modelled
Asset and infrastructure scope
Public-sector vs commercial deployment
Integrations
One Concern is designed to integrate with risk management and geospatial ecosystems.
Based on public information, integrations include:
GIS platforms (for spatial data exchange)
Asset management and infrastructure systems (data ingestion)
Risk and emergency management systems
Customers & Use Cases
One Concern is used by:
City governments and public agencies
Infrastructure operators and utilities
Insurance and reinsurance companies
Asset owners and facility managers
Use cases include disaster preparedness, infrastructure resilience planning, climate adaptation investment and emergency response planning.
Closing Insights
From a Net Zero Compare perspective, One Concern should be positioned as a Disaster & Physical Climate Risk Analytics platform, not as ESG software or climate disclosure tooling. Its strength lies in high-resolution, AI-driven modelling of hazard impacts and system resilience, particularly in urban and infrastructure contexts.