Insurers face growing challenges consolidating loss data at scale, balancing multiple carrier formats, incomplete fields, and inconsistent report layouts. HTC’s InsurLossLens uses AI to normalize, validate, and extract claim data into one view, helping underwriters assess risk faster.

Processes PDF, Excel, CSV, and scans across carriers into one normalized, exportable view.
Reduces manual re-keying across carrier formats at every renewal term.
Normalizes multi-carrier, program-level losses into one policy-level data set.
Detects missing data and duplicate claims upfront, reducing downstream errors.
Surfaces loss patterns across cause, coverage, and carrier that manual review misses.
Connects recommendations directly to the loss data behind them, not generic guidance.