Insurance organizations increasingly rely on AI systems for claims automation, underwriting, risk assessment, and more. Using AI for these processes can increase accuracy and cut costs, but building performant models requires a robust training data creation pipeline. Labelbox provides a Training Data Platform that gets your insurance AI models to production faster than ever.
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Example production use cases

  • Claims automation
    Claims automation
  • Catastrophe modeling
    Catastrophe modeling
  • Risk assessment
    Risk assessment
  • Customer experience
    Customer experience
  • Fraud detection
    Fraud detection
  • New product development
    New product development
insurance case study 1

Customize your workflow with an API-first approach

Cape Analytics is a leading provider of AI-powered geospatial property data. The company uses deep learning and geospatial imagery to provide instant property intelligence for buildings across the US.

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Automate insurance claims faster with AI

Learn how AmFam switched from homegrown internal tools to a training data platform. By doing so, teams were able to more quickly get to production AI and create training data faster.

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automate insurance claims
John-Isaac Clark

John-Isaac Clark
CEO, Arturo AI

Labelbox has become the foundation of our training data infrastructure. Our data science teams create high quality labeled training data with our internal domain experts as well as external labeling services, all inside Labelbox. And, the support is exceptional!