NeuralMetrics Expands AI Capabilities for Commercial Underwriting and Premium Audit Efficiency. Read more
Reasoning AI. Precise Results. In Any Industry.
Adaptive, Agentic AI Collaborates with Our Clients
Governance Proficiency Defines Our DNA

Rule Ingestion and Mapping
codifies guidelines and compliance standards

Data Lineage Tracking
traces every input from origin to decision

Regulatory Horizon Scanning
surfaces upcoming policy changes

Human-Above-the-Loop Oversight
retains final authority for the enterprise

Verifiable Trust Signature
preserves data provenance and model actions
NeuralMetrics is Committed to Quality, Compliance, and Data Security
Intelligent Assistants
Every NeuralMetrics Intelligence Assistant is designed to elevate human capability. Our Agent2Agent digital co-workers collaborate just like functional teams — powered by standards like Model Context Protocol (MCP) for agent coordination and contextual trust.

ARKUS
Real-time exposure intelligence and business classification for precise risk evaluation

GIA

CHRIS
Performance. Interoperability. Trust. In Production Today
60%
85%
accuracy in up-to-the-minute risk-quality insights
100%
40%
reduction in compliance cost efficiency
99.8%
50-70%
reduction of integration efforts via agent-to-agent deployment
Why NeuralMetrics

Client Value

Global Team

Modern Solutions
News and Insights
NeuralMetrics Expands Role-Based Agentic AI Capabilities for Commercial Underwriting and Premium Audit Efficiency
Product Enhancements Solidify InsurTech100 Award Recognition
From Black Box to Glass Box: AI Transparency is a Business Imperative
When an AI system produces an answer, users no longer ask, “Is this correct?” but instead, “Is this correct and can I defend the way the system arrived here?” Marcus Daley, Technical Co-founder, Neural Metrics.
How insurers can deploy agentic AI with confidence
The human-above-the-loop paradigm doesn’t just keep AI in check. It makes AI teachable, trustworthy, and transformational — elevating insurance operations while putting expert judgment exactly where it belongs: in charge.
5 Agentic AI trends reshaping insurance operations
“We’re seeing organizations across insurance adopt role-based agentic AI to boost operational acuity, compliance, and certainty,” said Prakash Vasant, CEO of NeuralMetrics.
Five GenAI Trends Impacting Insurance in 2025
Insurers and MGAs are upping the ante on AI. For the last several years, the industry has focused on the best ways to leverage generative AI, and many insurance organizations have used AI to increase efficiency, including the ability to integrate and analyze various data sources — such as scanned documents and information from diverse providers, third parties, and public domains.
4 Ways Generative AI Will Change Commercial Submissions in 2025
Streamlined operations, more tailored insurance product offerings, improved fraud detection, and faster claims resolution are all hallmarks of how generative artificial intelligence (AI) has helped improve insurance industry workflows over the past few years.
What Insurance Organizations Should Know About Open-Source AI
AI’s role in insurance represents a paradigm shift in how insurers approach risk assessment and other key processes. Open-source AI solutions, in particular, has been transformative, offering a new level of transparency and collaboration for insurers. Open-source AI has been instrumental in democratizing access to advanced technological solutions.
CEO View: How to Bolster Commercial Underwriting With AI Assistants
Having entered the business and technological mainstream two years ago, Generative AI is now helping to boost operations and cost efficiency across the insurance landscape. mong GenAI’s cutting-edge developments is the introduction of cognitive AI assistants that can learn, adapt, and collaborate to execute knowledge-based insurance tasks and processes independently.
NeuralMetrics Introduces Autonomous AI Assistants to Support and Modernize Commercial Underwriting Processes
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 Launches A-Star (A*) Platform Incorporating Intelligent AI Agents to Enhance Insurance Underwriting
Autonomous AI agents assume task-oriented personas and learn, adapt, and self-correct instantly to set new standards in data-driven commercial underwriting.
Autonomous AI Assistants Expedite Commercial Underwriting
NeuralMetrics CTO Sathish Manimuthu lists four ways commercial insurance organizations can use role-based AI assistants in their underwriting processes to boost capacity and strengthen data-driven risk evaluation.
How Can AI Boost Commercial Insurance Underwriting
AI agents can support underwriters with nuanced logic to quickly accomplish a range of risk-assessment tasks. According to Sathish Manimuthu, NeuralMetrics CTO, AI assistants help to increase the precision and productivity of underwriting teams.
Self-Learning, Reasoning AI Agents Can Improve the Commercial Underwriting Process
Autonomous AI agents can cost-effectively support underwriting processes by acting as intelligent assistants that learn and adapt to make designated risk-assessment decisions and execute appropriate actions without direct involvement from underwriters.
NeuralMetrics Launches Platform Using AI Agents to Enhance Insurance Underwriting
The A-Star Platform’s ‘SAMA’ autonomous AI agents can learn, adapt, and self-correct instantaneously to set new standards in data-driven risk analysis for commercial underwriting.
NeuralMetrics Launches Generative AI Underwriting Data Workbench
The NeuralMetrics underwriting data workbench is powered by generative AI and Large Language Model support. With the workbench as an intelligent navigator, commercial underwriters can enrich risk-assessment workflows, boost book-of-business consistency, expand risk appetites, and improve loss ratios.
NeuralMetrics and Binghamton University to Enrich Machine Learning via Quantum Computing
NeuralMetrics and Binghamton University announce collaboration to develop efficient quantum algorithms for training advanced language models — to support complex risk assessment with accelerated access to data and analytics.