News and Recognition

AI assistants can deliberate, collaborate, and make decisions in real time, signaling a significant shift in how companies leverage Generative AI.

Cognitive and agentic AI technology deployment will increase in 2025, offering swift, significant pathways to innovation and efficiency in underwriting and across core insurance operations.

A panel of industry experts selected the 2024 honorees based on noteworthy industry innovation. The program spotlights top organizations, professionals, practices, and products within the sector that contribute to modernizing and humanizing the business of insurance.

Role-based AI assistant CHRIS absorbs state regulations and learnings from submission documents, identifies missing data elements such as misclassified employees and unreported subcontractors, and efficiently conducts workers’ compensation audits.

With AI assistants GIA and ARKUS, insurer and program administrator/MGA underwriting teams can efficiently refine in-appetite risk selection, enrich exposure analysis, improve pricing and quoting accuracy, and enhance service to agents and policyholders.

NeuralMetrics was selected from among more than 400 company entries for FinTech Global’s DataTech50 list, recognizing 50 of the world’s most innovative tech companies offering data management solutions in insurance and financial services.

NeuralMetrics leverages the CDL program’s Risk Stream to advance the development of its persona-based autonomous AI agents and underwriting data workbench for deployment by commercial insurers.

NeuralMetrics is a winner in the Top AI and Data product category of the 2024 Product Awards, presented by Products That Count — the only awards program designed to celebrate solutions that help advance the work and contributions of product managers.

The NeuralMetrics A-Star (A*) platform introduces versatile AI agents/knowledge assistants with distinct, self-learning personas – to facilitate commercial underwriting workflows. Our role-based GenAI capabilities boost insights for real-time risk analysis, while improving risk-assessment precision.