LexisNexis is seeking Oregon approval for a score insurers can use to price small-business insurance based on information about the business owner.

Its Attract Commercial Business Owner V2 (B510) model uses public records, aggregated insurance loss data, and other data assets to predict insurance losses. Higher scores indicate lower expected risk. Insurers would incorporate the score into their own pricing formulas.

LexisNexis describes it as a “Non-FCRA surrogate”—an alternative scoring approach using data it identifies as non-FCRA. The excerpt does not disclose the specific variables, so we cannot tell exactly which owner characteristics affect the score.

This is a vendor’s predictive model filing, with no participating insurer named. Submitted October 13, 2026, it was pending review in the supplied record.