Outmarket AI Raises $17M Series A to Modernize Insurance Workflows With AI

Insurance remains one of the world’s largest industries, but much of the operational infrastructure behind brokerages still relies on fragmented systems, spreadsheets, manual document review, and institutional knowledge passed between employees. That inefficiency is creating a growing opportunity for AI platforms focused specifically on insurance operations.

Outmarket AI announced it has raised $17 million in Series A funding led by Permanent Capital Ventures, with participation from SignalFire, Fika Ventures, TTV Capital, and Dash Fund. The latest raise brings the company’s total funding to $21.7 million.

Building an AI Operating Layer for Insurance Brokerages

Founded in San Francisco, Outmarket is developing an AI platform designed specifically for insurance agencies and brokerages. Rather than functioning as a standalone chatbot or narrow automation tool, the company is positioning its technology as an intelligence layer that connects directly into the systems brokers already use every day.

The platform integrates with major agency management systems including Applied Epic, AMS360, HawkSoft, and Nexsure, allowing brokerages to unify structured and unstructured insurance data across their operations.

That matters because insurance brokerages often operate across multiple disconnected systems containing policies, quotes, applications, carrier communications, and claims information. Many workflows still require employees to manually compare policies, review loss runs, verify coverage gaps, and check contracts line by line.

Outmarket’s platform aims to automate and accelerate many of those tasks using AI-driven workflows. According to the company, its system supports quote comparison, policy review, contract checking, coverage analysis, and claims-related workflows that traditionally consume hours of manual labor.

Why Insurance Has Become a Major AI Opportunity

Insurance has increasingly emerged as one of the more active sectors for enterprise AI deployment because of the sheer volume of documents, forms, and highly specialized workflows involved in underwriting and brokerage operations.

Unlike consumer-facing AI products, insurance platforms must often work with dense regulatory language, carrier-specific terminology, legacy databases, and highly customized operational processes. That complexity has historically slowed software modernization across the industry.

Agency management systems such as Applied Epic and AMS360 have long served as the operational backbone for insurance brokerages, but many agencies still struggle with fragmented data environments and workflow inefficiencies.

Outmarket appears to be targeting this gap by layering AI capabilities on top of existing infrastructure rather than asking brokerages to replace their core systems outright.

The company says its workflows can help reduce errors and omissions through AI-assisted policy comparison and gap detection. Customers have reportedly seen reductions in manual processing time as well as improvements in identifying cross-sell opportunities hidden within brokerage data.

Rapid Adoption Across Brokerages

Outmarket launched publicly in March 2025 and says it has already expanded to more than 250 insurance brokerages. The company reports that annual recurring revenue has grown fivefold year-over-year.

Its platform now processes millions of insurance documents including quotes, policies, applications, and loss runs. According to the company website, brokerages using the system can save between 12 and 15 hours per employee each week through workflow automation.

The company also recently expanded its executive team with the addition of former Salesforce and DocuSign executive Alpesh Patel as Chief Revenue Officer.

A Growing Race to Build AI-Native Insurance Infrastructure

Outmarket enters an increasingly competitive insurance AI market, where startups are racing to modernize underwriting, claims processing, brokerage operations, and compliance workflows.

Across the broader insurtech sector, investors have shown growing interest in platforms applying AI to operational bottlenecks inside insurance organizations. Recent funding activity across the industry has included AI-driven claims automation, underwriting intelligence, and brokerage workflow platforms.

What differentiates many newer entrants is the focus on deeply integrated workflow systems rather than generalized AI assistants. Insurance environments require systems capable of understanding policy structures, carrier appetite rules, coverage relationships, and regulatory requirements with a high degree of accuracy.

Outmarket AI’s approach reflects a broader trend emerging across enterprise AI: organizations increasingly want systems embedded directly into existing operational infrastructure rather than standalone AI tools operating in isolation.