Gradient AI Launches Workers’ Comp Benchmarking Tool

February 19, 2026

By Anthony R. O’Donnell

The AI-powered ClaimVector solution provides brokers with claims-based performance benchmarks grounded in real data.

Gradient AI (Boston) has launched ClaimVector for Workers’ Compensation, an artificial intelligence-powered benchmarking solution designed to help brokers analyze claims performance using real data.

Gradient AI says the platform transforms limited claims information into metrics that enable brokers to compare portfolio performance, identify risk drivers and support advisory discussions with clients and prospects. The company describes the tool as an alternative to market-average benchmarking, using claims-level data to generate explainable comparisons.

According to Gradient AI, ClaimVector is built to integrate into broker workflows, supporting repeatable benchmarking processes rather than one-time or manual competitor analyses. The company says the system provides transparent metrics intended to strengthen claims oversight and renewal strategies.

“By mining and dashboarding real data, the ClaimVector benchmarking solution helps Workers’ Comp brokers substantially improve key portfolio differentiators, as well as build and enhance credibility, consistency, and defensibility,” says Brook Rosenbaum, General Manager, Property & Casualty, Gradient AI. “The insights this solution provides translate directly to strengthened claims stewardship and renewal strategies.”

Gradient AI says the benchmarking tool refines its comparisons over time as it processes additional data from a broker’s book of business. The company provides artificial intelligence solutions for property/casualty insurers and other risk-bearing organizations.