InsOps, an AI-powered, insurance-trained Small Language Model (SLM), announced that it has joined Guidewire’s Insurtech Vanguards program. The initiative is led by P&C software provider Guidewire (NYSE: GWRE). And it helps insurers identify emerging technologies that improve data operations, privacy, and workflow efficiency across the P&C insurance ecosystem.

As part of the program, Guidewire provides strategic guidance to and advocates for participating InsurTechs while connecting them with Guidewire’s P&C customers.

Insurance workflows remain highly manual, and almost every operational process involves sensitive data moving across systems and environments. InsOps was built to automate these workflows and anonymize sensitive data directly within the insurer’s environment. And we're excited that our products are being recognized for advancing how insurers automate and secure data operations.

NavaJeevan Rajaiah, CEO and Founder, InsOps

InsOps is an AI-powered, insurance-trained Small Language Model designed to automate how insurance data is processed and secured across policy, claims, billing, and partner workflows. By reducing manual intervention and removing the need for third-party data handling, InsOps enables insurers to operate faster while maintaining control, privacy, and data integrity.

Guidewire shares a similar view on the need to modernize insurance data operations and reduce risk across workflows, which is why InsOps was selected for the Insurtech Vanguards program.

We are pleased to welcome InsOps to our Insurtech Vanguards program. Their robust data ingestion capabilities deliver insights, and their accelerator for migrating data from any policy, claim, or billing system to Guidewire InsuranceSuites helps our customers with their DataOps. This innovation significantly contributes to improving the overall digital insurance ecosystem.

Laura Drabik, Chief Evangelist, Guidewire.

InsOps’ participation in the Insurtech Vanguards program reflects Guidewire’s focus on technologies that help insurers reduce operational risk, strengthen data privacy, and modernize how insurance workflows operate at scale.