Traditional insurance systems have long been constrained by outdated monolithic cores that are costly to maintain and slow to modernize. Neutrinos’ new approach replaces these limitations with an event-driven, composable architecture built on a data fabric layer. This creates what the company describes as a “hollowed-out” legacy environment, allowing modern capabilities to operate virtually on top of existing systems without the need for risky overhauls.

The AI-Native System of Execution is designed to help insurers break down organizational and technical silos, unify fragmented data, and enrich semantic metadata models. The platform provides a consistent source of truth across underwriting, claims, case management and analytics, supported by a semantic graph-style ontology and shared data models.

Key features include a governed data fabric layer that enables real-time access and interoperability, an event-driven architecture of modular services linked by APIs, agentic orchestration with embedded observability, and enterprise-grade governance supporting compliance, security and audit requirements.

Suresh Chandrashekaran, Co-founder and CTO of Neutrinos, said the platform is intended to deliver transformation at enterprise scale while preserving the value of existing systems. “We drive business agility while avoiding painful, expensive and risky legacy overhauls,” he said. “This AI-Native System of Execution enables true enterprise-scale transformation while extending the value of existing systems.”

Neutrinos is currently working with insurers across North America, the Middle East, Africa and Asia-Pacific to implement the technology.

Founded as a specialist in AI-powered automation, Neutrinos has built its platform around agentic AI designed to automate complex end-to-end processes in insurance. Its solutions span underwriting, claims and distribution, enabling faster innovation, operational efficiency and streamlined customer experiences.