Intelligent SOV Data Extraction for Commercial Property

Stop Manually Re-Keying Property Data

When underwriters are forced to manually extract and format COPE data (Construction, Occupancy, Protection, and Exposure), operational drag is severe. A 500-location SOV can hold roughly 30,000 individual field-level values.

Manual SOV data extraction degrades underwriting capacity, delays quote turnaround times, and forces MGAs and carriers into a linear headcount scaling trap.

Automated SOV Processing That Adapts

Cazimir replaces manual data entry with adaptive intelligence.

Cross-Document Validation: Cazimir automatically detects conflicting information across the submission package, flagging discrepancies between the SOV, the loss run, and the supplemental application.

Format Agnostic: Upload SOVs in any format from any broker. Cazimir identifies the document and routes it through the appropriate extraction pipeline.

Intelligent Normalization: The platform maps wildly inconsistent broker column headers (e.g., “Yr Blt”, “Const. Type”, “Bldg Val”) into your organization’s standardized data schema.

The Compounding Value of Human-in-the-Loop AI

Unlike static extraction tools that break when a broker adds a new column, Cazimir learns.

Your team reviews the extracted SOV data in a clean interface with confidence indicators on every field. When a user corrects a flagged inconsistency or adjusts a mapping, that correction acts as a training signal. The platform learns your specific broker patterns and formatting preferences, ensuring that the next SOV from that broker processes with significantly higher accuracy.