All Case Studies

    Natural Language Processing

    Data Extraction for Better Risk Insights

    NLP and document automation solution developed for Zurich, a leading insurance company, to enhance efficiency and improve risk management.

    Client

    Zurich

    Industry

    Insurance

    Date

    31.08.2023

    87%

    Success on PT documents

    73%

    Success on EN documents

    99%

    Table extraction accuracy

    The Challenge

    Critical risk information was locked inside unstructured reports in several languages, including complex tables. Analysts had to read documents end to end before they could assess a risk.

    Our Solution

    We developed an NLP pipeline that identifies document structure, extracts key entities and reconstructs tables into machine-readable data, delivering structured risk indicators straight into the analysts' workflow.

    Results

    Multilingual extraction across Portuguese and English documents

    Reliable reconstruction of complex tables

    Structured risk data available in minutes instead of hours

    Better, faster underwriting decisions

    InsuranceRisk ManagementDocument Automation

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