Property-Level Risk Assessment
Go ahead and say just a little more about what you do.
Challenge
An insurance carrier needed to assess property-level wildfire and flood exposure while accounting for construction type, building codes, and past claims. Manual review processes made it difficult to evaluate each property efficiently at scale.
Approach
Neural Earth integrated parcel-level data, hazard scores, and historical loss records into a unified model using the Risk platform. Our team trained ML models to detect underinsured properties and identify code vulnerabilities by cross-referencing attributes with local hazard zones and mitigation data.
Outcomes
Within 6 weeks, the client received a production-ready dashboard built in Studio for property-level visualization, plus custom analytics delivered as API endpoints for integration into their internal tools. The result cut review time by 60% and standardized property exposure scoring.
Platform
- Property-level hazard dashboard in Studio
Custom
- ML model for underinsurance and vulnerability detection
- API integration for automated risk scoring
Bring us your challenge. Get tailored intelligence.
Property-Level Risk Assessment
Go ahead and say just a little more about what you do.
Challenge
An insurance carrier needed to assess property-level wildfire and flood exposure while accounting for construction type, building codes, and past claims. Manual review processes made it difficult to evaluate each property efficiently at scale.
Approach
Neural Earth integrated parcel-level data, hazard scores, and historical loss records into a unified model using the Risk platform. Our team trained ML models to detect underinsured properties and identify code vulnerabilities by cross-referencing attributes with local hazard zones and mitigation data.
Outcomes
Within 6 weeks, the client received a production-ready dashboard built in Studio for property-level visualization, plus custom analytics delivered as API endpoints for integration into their internal tools. The result cut review time by 60% and standardized property exposure scoring.
Platform
- Property-level hazard dashboard in Studio
Custom
- ML model for underinsurance and vulnerability detection
- API integration for automated risk scoring
Bring us your challenge. Get tailored intelligence.
Understand exposure with precision at the address level.
Property-Level Risk Assessment
Challenge
An insurance carrier needed to evaluate property-level wildfire and flood exposure while factoring in construction year, building codes, and claims history. Manual reviews were too slow for high-volume underwriting.
Approach
Neural Earth combined Risk platform hazard scores and parcel data with the client’s claims history to build a unified assessment model. A custom ML workflow was developed to flag code vulnerabilities and detect underinsured properties using historical loss trends.
Outcomes
Timeline: 6 weeks (data onboarding, model training, deployment)
A production-ready dashboard built in Studio for property-level visualization, plus custom analytics delivered as API endpoints for integration into their internal tools. The result cut review time by 60% and standardized property exposure scoring.
Platform
- Property-level hazard dashboard in Studio
Custom
- ML model for underinsurance and vulnerability detection
- API integration for automated risk scoring
Bring us your challenge. Get tailored intelligence.
