Planck Data is a tool for automating underwriting in commercial insurance. It uses generative AI models to analyze large volumes of data, classify businesses, identify risk factors, and provide underwriters with structured, evidence-based recommendations.
Key capabilities
- Classifies companies by industry and business activity
- Automatically detects key risk factors
- Produces structured reports with supporting evidence
- Can be tailored to a specific insurer’s underwriting requirements
Integrations and requirements
Planck Data can be integrated via API or connected to an insurer’s internal systems. It requires access to corporate data and the internet, and typically needs administrator permissions for deployment within existing infrastructure.
Use cases
- Risk assessment when issuing business insurance policies
- Improving underwriting accuracy using large-scale data
- Automating manual checks of customer and company information
Pros and cons
- Pros: high accuracy, scalable, customizable
- Cons: depends on high-quality input data; integration can be complex for legacy systems
