StitchStudio Raises $8M to Expand Insurance AI Products and Support

StitchStudio announced an $8 million financing round on November 11, 2026, led by Voyager Capital, to expand its insurance AI products, customer success team, and self-service tools for carriers and brokers.

Lookout Ventures and Grit Capital Partners participated, with continued investment from ManchesterStory and BrokerTech Fund and additional backing from insurance veterans. Voyager partner Austin Guyette said every customer his firm interviewed was already planning another StitchStudio workflow, making customer expansion central to the investor’s rationale.

The product expansion covers employee benefits, life and annuity, and commercial property and casualty insurance.

How StitchStudio Fits Insurance Operations

StitchStudio is addressing a practical deployment problem: insurance organizations run systems of different vintages, follow changing product and state rules, and use procedures that vary by organization. Those conditions can leave staff re-keying data across disconnected systems and make rigid automation or generic AI tools difficult to introduce.

The company builds agents on a model centered on insurance products, rules, and documents, then configures them to each customer’s procedures and data. The agents connect through application programming interfaces and file exchange, allowing carriers and brokers to retain their core systems. StitchStudio says customers can trace and audit each action an agent takes, providing a control for compliance review alongside automation.

M3 Insurance, Heffernan Insurance Brokers, Fidelity Life, InstaBrain, and Frank Winston Crum Insurance use the platform for work including quote comparison, producer onboarding, eligibility, billing reconciliation, and benefits quoting.

CEO Karan Mishra described production deployment as the work of fitting a customer’s existing systems and rules and obtaining compliance sign-off. “Our customers got their first workflows live and came back to expand across the enterprise. This round helps us get them there faster.”

Reported Results and Customer Expansion

StitchStudio reports that proposal turnaround fell from 90 minutes to 15 minutes with more than 5,000 hours saved, while RFP intake dropped from 27 manual steps to six with more than 75% of processing automated. The RFP work later expanded into employee census and insurability documentation, showing how an initial deployment can add adjacent processes.

A July 20, 2026 Heffernan case study documents another expansion. Heffernan extended its deployment from commercial insurance into employee benefits after using AI to consolidate carrier information. For benefits proposals, the platform sends consistent requests to selected carriers, captures and normalizes responses, and produces client-ready outputs in Heffernan’s existing formats.

Employees remain responsible for selecting carriers, framing recommendations, and advising clients. The software handles data assembly and comparison preparation while the brokerage retains market judgment and client decisions, a division that allows Heffernan to apply the deployment model to another line of business.

An October 2026 InstaBrain case study provides another deployment example. Its NIGO-remediation agent entered implementation on July 7, 2026, contacting producers directly to resolve missing documentation and replacing a multi-party manual chase. StitchStudio reports that 95% of completed NIGO cases closed in under four days and the median completed case closed in less than half a day.

Those deployments provide the context for the financing: StitchStudio’s stated goal is to reproduce production workflows across more teams and insurance lines. The central challenge is to make that expansion repeatable across organizations with different systems and rules while retaining the auditability and human control described in the deployments.