Quick Overview
- 1#1: Climate X - AI-powered platform delivering granular physical climate risk analytics for assets, sites, and portfolios worldwide.
- 2#2: Cervest - Hyper-local climate intelligence platform forecasting risks like floods, droughts, and heatwaves for decision-making.
- 3#3: RMS - Advanced catastrophe modeling software incorporating long-term climate risks for insurance and reinsurance.
- 4#4: Everstorm - AI-driven climate risk analytics platform assessing physical risks to infrastructure and supply chains.
- 5#5: One Concern - Resilience platform modeling interconnected climate hazards and cascading risks for urban planning.
- 6#6: Verisk - Climate risk analytics through AIR models for extreme weather perils and long-term projections.
- 7#7: Tomorrow.io - Weather and climate intelligence platform providing risk forecasting for operations and assets.
- 8#8: Fathom - Global flood risk modeling software for financial institutions and governments.
- 9#9: Zesty.ai - AI platform for property-level climate and wildfire risk assessment in insurance underwriting.
- 10#10: ClimateCheck - Consumer-facing tool providing climate risk reports for homes and properties in the US.
Tools were evaluated and ranked based on features like model accuracy, cross-hazard coverage, user-friendliness, and value, with a focus on balancing technical depth and practical utility to deliver a comprehensive guide for informed selection.
Comparison Table
This comparison table examines key features, capabilities, and use cases of leading climate risk software tools, such as Climate X, Cervest, RMS, Everstorm, One Concern, and others. Readers will discover how these solutions differ in areas like impact modeling, scenario analysis, and integration, enabling informed decisions to enhance climate risk management. By breaking down functionality, the table simplifies selecting the right tool to address diverse climate-related challenges effectively.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | Climate X AI-powered platform delivering granular physical climate risk analytics for assets, sites, and portfolios worldwide. | enterprise | 9.7/10 | 9.9/10 | 9.2/10 | 9.4/10 |
| 2 | Cervest Hyper-local climate intelligence platform forecasting risks like floods, droughts, and heatwaves for decision-making. | specialized | 9.2/10 | 9.6/10 | 8.4/10 | 8.9/10 |
| 3 | RMS Advanced catastrophe modeling software incorporating long-term climate risks for insurance and reinsurance. | enterprise | 8.7/10 | 9.5/10 | 7.0/10 | 8.2/10 |
| 4 | Everstorm AI-driven climate risk analytics platform assessing physical risks to infrastructure and supply chains. | specialized | 8.7/10 | 9.2/10 | 8.0/10 | 8.3/10 |
| 5 | One Concern Resilience platform modeling interconnected climate hazards and cascading risks for urban planning. | enterprise | 8.7/10 | 9.2/10 | 8.1/10 | 8.0/10 |
| 6 | Verisk Climate risk analytics through AIR models for extreme weather perils and long-term projections. | enterprise | 8.8/10 | 9.5/10 | 7.6/10 | 8.2/10 |
| 7 | Tomorrow.io Weather and climate intelligence platform providing risk forecasting for operations and assets. | enterprise | 8.2/10 | 8.7/10 | 7.8/10 | 7.6/10 |
| 8 | Fathom Global flood risk modeling software for financial institutions and governments. | specialized | 8.1/10 | 8.7/10 | 7.5/10 | 7.6/10 |
| 9 | Zesty.ai AI platform for property-level climate and wildfire risk assessment in insurance underwriting. | specialized | 8.4/10 | 9.1/10 | 7.8/10 | 7.6/10 |
| 10 | ClimateCheck Consumer-facing tool providing climate risk reports for homes and properties in the US. | specialized | 7.8/10 | 8.1/10 | 8.0/10 | 7.4/10 |
AI-powered platform delivering granular physical climate risk analytics for assets, sites, and portfolios worldwide.
Hyper-local climate intelligence platform forecasting risks like floods, droughts, and heatwaves for decision-making.
Advanced catastrophe modeling software incorporating long-term climate risks for insurance and reinsurance.
AI-driven climate risk analytics platform assessing physical risks to infrastructure and supply chains.
Resilience platform modeling interconnected climate hazards and cascading risks for urban planning.
Climate risk analytics through AIR models for extreme weather perils and long-term projections.
Weather and climate intelligence platform providing risk forecasting for operations and assets.
Global flood risk modeling software for financial institutions and governments.
AI platform for property-level climate and wildfire risk assessment in insurance underwriting.
Consumer-facing tool providing climate risk reports for homes and properties in the US.
Climate X
enterpriseAI-powered platform delivering granular physical climate risk analytics for assets, sites, and portfolios worldwide.
AI-powered, hyper-local probabilistic hazard modeling at 10m x 10m resolution covering 90% of global economic assets
Climate X is a leading climate risk analytics platform that delivers high-resolution, property-level assessments of physical climate hazards such as flooding, wildfires, storms, heat, and coastal risks, alongside transition risks like policy and market shifts. It enables users to quantify current and future risks across global portfolios using probabilistic modeling under multiple IPCC scenarios. The platform integrates seamlessly with enterprise systems for insurance underwriting, lending decisions, and real estate management.
Pros
- Global coverage at meter-level resolution with 30+ perils modeled probabilistically
- Advanced scenario analysis for 20-100+ year horizons using latest climate science
- Robust API integrations and portfolio-level analytics for enterprise-scale use
Cons
- Enterprise pricing lacks transparency and may be prohibitive for SMEs
- Steeper learning curve for non-experts despite intuitive dashboards
- Limited free tier or trial options for initial testing
Best For
Large insurers, banks, and real estate firms managing multi-asset climate risk portfolios at scale.
Pricing
Custom enterprise subscriptions starting at $10K+/year based on portfolio size; contact sales for quotes.
Cervest
specializedHyper-local climate intelligence platform forecasting risks like floods, droughts, and heatwaves for decision-making.
Hyper-local 10m x 10m resolution climate risk data with AI-driven probabilistic forecasts spanning decades
Cervest (cervest.earth) is an AI-powered climate intelligence platform specializing in hyper-local physical climate risk analytics. It provides probabilistic forecasts, scenarios, and insights for hazards like floods, droughts, heatwaves, fire, and wind at resolutions down to 10m x 10m, enabling precise risk assessment for assets, portfolios, and supply chains. The Earth Scan OS integrates vast datasets and machine learning to deliver actionable intelligence for strategic decision-making in a changing climate.
Pros
- Exceptional hyper-local resolution (10m x 10m) for granular risk analysis
- Comprehensive coverage of 48+ climate hazards with probabilistic forecasts
- Robust API and integrations for enterprise-scale applications
Cons
- Enterprise-focused pricing lacks transparency for smaller users
- Steep learning curve for non-technical users without API experience
- Primarily emphasizes physical risks over transition or liability risks
Best For
Large enterprises, financial institutions, and insurers requiring precise, location-specific climate risk data for asset management and supply chain resilience.
Pricing
Custom enterprise licensing; typically starts at $50,000+/year based on data volume, users, and customizations.
RMS
enterpriseAdvanced catastrophe modeling software incorporating long-term climate risks for insurance and reinsurance.
Stochastic event sets simulating millions of climate-adjusted catastrophe scenarios for probabilistic risk forecasting
RMS (Risk Management Solutions) is a leading provider of probabilistic risk modeling software focused on natural catastrophes, including climate risks like hurricanes, floods, wildfires, and earthquakes. The platform enables insurers, reinsurers, and financial institutions to assess portfolio-level exposures under current and future climate scenarios. It integrates high-resolution hazard models with vulnerability and financial impact analytics for precise risk quantification and decision-making.
Pros
- Highly accurate, science-backed climate peril models with vast stochastic event catalogs
- Scalable for enterprise portfolios with robust API integrations
- Advanced scenario analysis for physical and transition climate risks
Cons
- Steep learning curve requiring specialized expertise
- Premium pricing limits accessibility for smaller organizations
- Primarily insurance-focused, less flexible for general corporate ESG reporting
Best For
Large insurers and reinsurers seeking enterprise-grade catastrophe modeling for climate risk management.
Pricing
Custom enterprise licensing, typically $250,000+ annually based on modules, users, and portfolio size.
Everstorm
specializedAI-driven climate risk analytics platform assessing physical risks to infrastructure and supply chains.
Hyper-local 30m resolution climate risk scores for 100+ hazards with AI-enhanced future projections
Everstorm is a climate risk analytics platform specializing in high-resolution, property-level assessments of physical climate hazards such as floods, wildfires, hurricanes, heatwaves, and over 100 others. It provides current risk data alongside future projections to 2100 under multiple IPCC scenarios, enabling users to visualize risks via interactive maps, generate reports, and integrate via API. Targeted at real estate, insurance, lending, and investment sectors, it supports underwriting, portfolio screening, and resilience planning.
Pros
- Comprehensive coverage of 100+ physical climate hazards with 30m resolution data
- Robust future risk projections under multiple scenarios up to 2100
- Seamless API integration and customizable dashboards for enterprise workflows
Cons
- Higher pricing tiers may be cost-prohibitive for small businesses or individuals
- Primarily focused on physical risks, with limited coverage of transition or regulatory risks
- Steeper learning curve for advanced modeling and scenario customization
Best For
Real estate investors, insurers, and financial institutions requiring detailed, property-level physical climate risk analytics for portfolio management and underwriting.
Pricing
Self-serve plans start at ~$99/month for limited queries; enterprise custom pricing from $500+/month with unlimited API access and dedicated support.
One Concern
enterpriseResilience platform modeling interconnected climate hazards and cascading risks for urban planning.
AI-enhanced physics-based simulations for hyper-local, probabilistic risk forecasts at individual asset levels
One Concern is an AI-powered climate risk intelligence platform that delivers granular assessments of physical risks including floods, wildfires, earthquakes, sea-level rise, and extreme heat using physics-based simulations and machine learning. It enables users to evaluate risks at the asset, portfolio, or community level through interactive dashboards, APIs, and scenario modeling for resilience planning. Primarily targeted at enterprises in insurance, real estate, infrastructure, and government, it provides forward-looking risk forecasts up to 2100 under various climate scenarios.
Pros
- Hyper-local risk modeling at building or asset footprint level with high-resolution data
- Comprehensive coverage of multiple hazards backed by validated physics simulations
- Robust API integrations and scenario analysis for enterprise workflows
Cons
- Enterprise-only pricing lacks transparency and may be prohibitive for SMEs
- Stronger focus on North America with less granular data in other regions
- Requires technical expertise for advanced custom modeling and API use
Best For
Large insurers, real estate investors, and infrastructure managers needing precise physical climate risk analytics for US-centric portfolios.
Pricing
Custom enterprise pricing upon request; typically annual subscriptions starting at $50K+ based on assets modeled and features required.
Verisk
enterpriseClimate risk analytics through AIR models for extreme weather perils and long-term projections.
Probabilistic stochastic event modeling that seamlessly blends historical data with future climate projections
Verisk, through its RMS platform, delivers industry-leading climate risk modeling software that assesses physical risks from extreme weather events like hurricanes, floods, wildfires, and droughts, incorporating long-term climate change projections. The tool uses vast proprietary datasets, AI, and stochastic simulations to provide probabilistic loss estimates for properties, portfolios, and supply chains. It supports insurers, reinsurers, and financial institutions in underwriting, pricing, reserving, and regulatory reporting such as TCFD and IFRS 17.
Pros
- Highly accurate, validated catastrophe models with climate scenarios
- Extensive global datasets and high-resolution hazard layers
- Robust API integrations for enterprise workflows
Cons
- Steep learning curve requiring specialized expertise
- Premium pricing with opaque, custom quotes
- Primarily optimized for insurance, less intuitive for non-financial users
Best For
Large insurers, reinsurers, and financial firms needing precise physical climate risk modeling for catastrophe exposure management.
Pricing
Enterprise licensing with custom quotes; typically starts at $50,000+ annually depending on modules and usage scale.
Tomorrow.io
enterpriseWeather and climate intelligence platform providing risk forecasting for operations and assets.
AI-powered nowcasting with minute-level, meter-scale predictions fusing radar, satellite, and ML models
Tomorrow.io is an AI-driven weather intelligence platform delivering hyper-local, minute-by-minute forecasts and nowcasts via proprietary radar and satellite data fusion. As a climate risk solution, it provides physical climate risk analytics, modeling hazards like floods, storms, heatwaves, and precipitation across global assets, supply chains, and properties under various IPCC scenarios. Users can integrate this data into enterprise risk management workflows for proactive decision-making.
Pros
- Unmatched hyper-local forecast accuracy and real-time nowcasting
- Comprehensive climate risk library with scenario modeling
- Seamless API integrations for enterprise workflows
Cons
- Climate risk tools are newer and less mature than core weather features
- Enterprise-focused pricing lacks affordable tiers for SMBs
- Advanced customization requires technical expertise
Best For
Mid-to-large enterprises in insurance, energy, logistics, and real estate seeking precise weather-integrated climate risk assessments.
Pricing
Custom enterprise pricing starting at ~$10,000/year based on data volume, users, and features; free trial available.
Fathom
specializedGlobal flood risk modeling software for financial institutions and governments.
Ultra-granular physical hazard modeling using proprietary datasets at asset-level resolution
Fathom (fathom.global) is a climate risk analytics platform specializing in scenario-based modeling of physical risks (e.g., floods, wildfires, hurricanes) and transition risks (e.g., policy, technology shifts) for assets and portfolios. It leverages high-resolution climate data and hazard models aligned with IPCC, NGFS, and regulatory frameworks like TCFD and ECB stress tests. Primarily targeted at financial institutions, it enables granular risk assessment, portfolio screening, and compliance reporting.
Pros
- High-resolution, location-specific modeling down to building or postcode level
- Comprehensive coverage of both physical and transition risks with standardized scenarios
- Strong regulatory alignment for TCFD, PRA, and ECB climate stress testing
Cons
- Enterprise-focused with opaque, custom pricing and no public self-serve options
- Steeper learning curve for non-financial users due to specialized financial interfaces
- Limited emphasis on non-financial sectors like real estate or supply chain management
Best For
Financial institutions and asset managers requiring detailed, regulatory-compliant climate risk analytics for investment portfolios.
Pricing
Custom enterprise licensing only; pricing available via sales quote, typically starting in the high five to six figures annually based on portfolio size.
Zesty.ai
specializedAI platform for property-level climate and wildfire risk assessment in insurance underwriting.
AI-powered wildfire risk engine using high-resolution aerial imagery and computer vision for unparalleled property-specific predictions
Zesty.ai is an AI-powered climate risk analytics platform designed primarily for the property and casualty insurance industry, providing hyper-local risk scores for perils like wildfire, flood, wind, hail, and heat at the individual property level. It leverages machine learning models trained on satellite imagery, weather data, and historical claims to deliver precise underwriting, pricing, and portfolio management insights. The tool helps insurers quantify and mitigate climate-related exposures amid increasing frequency of extreme weather events.
Pros
- Exceptional accuracy in property-level risk modeling, especially for wildfire using AI-driven computer vision
- Comprehensive coverage of key climate perils with frequent model updates incorporating new data
- Seamless API integrations for insurance workflows and batch processing capabilities
Cons
- Primarily tailored to P&C insurers, limiting broader applicability for non-insurance climate risk users
- Opaque and enterprise-level pricing that can be costly for smaller organizations
- Geographic focus mainly on North America, with less mature coverage elsewhere
Best For
Property insurers and reinsurers seeking granular, AI-enhanced climate risk analytics for underwriting and portfolio optimization.
Pricing
Custom enterprise pricing, typically subscription-based or per-property queried, starting at tens of thousands annually for mid-sized users.
ClimateCheck
specializedConsumer-facing tool providing climate risk reports for homes and properties in the US.
AI-enhanced, address-specific risk percentiles benchmarked against millions of US properties
ClimateCheck is a climate risk analytics platform specializing in physical climate risks for properties and portfolios across the US. It assesses hazards like floods, wildfires, hurricanes, extreme heat, precipitation, wind, and sea level rise using high-resolution climate models and AI-driven projections. The tool provides property-level scores, interactive dashboards, API access, and reports tailored for real estate, insurance, lending, and investment decisions.
Pros
- High-resolution, property-level risk scoring for 15+ hazards
- User-friendly dashboards and robust API for integrations
- Forward-looking projections to 2100 under multiple scenarios
Cons
- Limited to North America with minimal international coverage
- Focuses mainly on physical risks, less on transition or regulatory risks
- Pricing scales quickly for high-volume or enterprise use
Best For
Real estate investors, insurers, and lenders assessing physical climate risks for US property portfolios.
Pricing
Pay-per-report from $99; subscription tiers for portfolios starting at ~$500/month, with custom enterprise pricing.
Conclusion
Climate risk software has become indispensable, and the top 10 tools deliver tailored solutions for diverse needs. Leading the pack, Climate X stands out with AI-powered granular analytics that span assets, sites, and global portfolios, offering unmatched detail for proactive decision-making. Cervest follows as a powerhouse in hyper-local forecasting, excelling in floods, droughts, and heatwaves, while RMS rounds out the top three with advanced catastrophe modeling for insurance and reinsurance needs, each excelling in their respective strengths. Together, these tools empower users to navigate climate challenges effectively.
Don’t miss out on Climate X—its robust, comprehensive approach makes it the ultimate choice for mastering climate risks, whether for assets, portfolios, or global resilience.
Tools Reviewed
All tools were independently evaluated for this comparison
