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Intelligent Loss Run Data Extraction

Analyzing historical claims data is critical for accurate risk pricing, but extracting that data from carrier loss runs is a slow, manual process. Every carrier formats their loss runs differently, forcing underwriters to spend hours manually re-keying data, normalizing columns, and calculating totals.

Cazimir’s loss run extraction software uses AI to automatically ingest, normalize, and structure claims data from any carrier format, turning chaotic PDFs into actionable underwriting intelligence.

Stop Re-Keying Claims Data

Traditional automation tools fail on loss runs because there is no standardized format. A loss run from Carrier A looks entirely different from Carrier B.

Cazimir eliminates the need for manual data entry and rigid templates. Our platform:

Extracts Critical Metrics: Captures total incurred losses, paid claims, outstanding reserves, claim status (open/closed), and detailed incident descriptions.

Ingests Any Format: Upload loss runs as PDFs, Excel files, or scanned documents.

Normalizes Carrier Data: Automatically maps disparate column headers (e.g., “Date of Loss”, “DOL”, “Incident Date”) into your organization’s standardized schema.

Synthesize Frequency and Severity Trends

Cazimir goes beyond basic extraction to provide immediate underwriting value. Once the data is normalized, the platform automatically synthesizes the claims history, calculating frequency and severity trends across the requested policy periods.

When an underwriter opens the file, the heavy lifting of loss run interpretation is already complete, allowing them to focus immediately on complex risk analysis.

100% Traceable Claims Data

Accuracy is paramount when evaluating loss history. Cazimir operates on an “Evidence First” principle. Every extracted claim amount, reserve figure, and incident date links directly back to its location on the original carrier loss run.

If a total seems anomalous, your team can click the extracted value to view the exact source page, ensuring complete confidence in the data before quoting.

Frequently Asked Questions About Loss Run Extraction

Yes. Our platform is designed to handle the messy reality of commercial submissions. It accurately extracts data from poor-quality scans, skewed PDFs, and multi-page documents where tables span across page breaks.

Cazimir uses adaptive AI that understands data contextually. It automatically recognizes and normalizes the unique formatting, terminology, and column structures used by hundreds of different insurance carriers without requiring custom templates.

Yes. If an underwriter corrects a flagged inconsistency or adjusts a data mapping during the review process, Cazimir stores that correction as a training signal. The system continuously learns your specific formatting preferences.

Price Risk Faster and More Accurately

Don’t let manual loss run analysis slow down your quote turnaround times. Bring your most difficult, multi-carrier loss runs to a working session and see Cazimir structure the data in minutes.