Insurtech Gradient AI, a U.S.-based software company that builds artificial intelligence solutions specifically for the insurance industry, has introduced ClaimVector for Workers’ Compensation, an AI-powered benchmarking tool designed for brokers seeking deeper visibility into claims performance.
The platform converts limited claims inputs into structured, comparative metrics grounded in real WC data rather than abstract market averages.
Brokers can assess portfolio performance, isolate risk drivers, and support advisory discussions with quantifiable benchmarks.
ClaimVector embeds directly into broker workflows. It replaces manual competitor comparisons and fragmented portfolio reviews with standardized, repeatable analysis. The system produces explainable outputs intended to withstand scrutiny from clients and carrier partners.
According to Beinsure analysts, workers’ compensation remains one of the lines most responsive to predictive modeling due to structured loss data and long-term claims development patterns. Tools that merge benchmarking with operational dashboards increasingly shape renewal negotiations and stewardship reporting.
Gradient AI said the platform becomes more refined as it absorbs portfolio-specific data. Over time, comparisons calibrate to a broker’s book of business, enabling both peer benchmarking and internal historical tracking.
Its SaaS products help carriers, MGAs, TPAs, PEOs, and other insurance organizations underwrite policies and manage claims more accurately and efficiently by leveraging large-scale industry data and machine learning.
Brook Rosenbaum, General Manager of Property & Casualty, said the solution strengthens claims oversight and supports defensible renewal strategies.
He framed the tool as a way to enhance advisory credibility through transparent, data-backed insights.
By mining and dashboarding real data, the ClaimVectorTM benchmarking solution helps Workers’ Comp brokers substantially improve key portfolio differentiators, as well as build and enhance credibility, consistency, and defensibility
Brook Rosenbaum, General Manager, Property & Casualty for Gradient AI
“Knowledge is power, and the insights that this groundbreaking solution provides translate directly to enhanced advisory value, strengthened claims stewardship, and elevated renewal strategies,” said Brook Rosenbaum.
Gradient AI’s SaaS platform draws on a data lake containing tens of millions of policies and claims, supplemented by economic, geographic, health, and demographic indicators.
The company positions ClaimVector as an extension of its underwriting and claims risk models, aimed at improving loss ratios while reducing claims expenses and quote cycle times.
In 2024, Gradient AI has raised $56 mn in a Series C funding led by Centana Growth Partners, with participation from existing investors MassMutual Ventures, Sandbox Insurtech Ventures and Forte Ventures.
The funds will be used to support product development to continue driving innovation and efficiency in the insurance industry and to further bolster customer success and sales functions.
Gradient AI’s solutions stand out for their advanced AI and machine learning models, leveraging a vast industry data lake. This lake includes millions of policies, claims, and economic, health, and geographic data.
