Pace has raised $46 million in Series B funding, co-led by Thrive Capital and Sequoia Capital, with participation from Emergence Capital and Pruven Capital, as the AI operations company accelerates expansion across global insurance markets.
The funding will be used to help customers scale their “agentic workforce”, with Pace targeting tens of millions of insurance operational tasks in 2026 across the US, Europe and additional international markets.
Founded last year, Pace develops AI agents designed specifically for insurance workflows spanning submissions, renewals, policy servicing and claims operations. The company says its technology has already autonomously completed more than 250,000 insurance workflows.
Its client roster includes insurers and brokers such as Prudential, Palomar, Convex and WTW.
According to Pace, the platform is being used to automate thousands of hours of customer acquisition and policy servicing work at Prudential. At Palomar, the company claims its AI agents resolve 90% of policy servicing taskswithout corresponding increases in customer service headcount, while Convex uses the technology to accelerate data ingestion for new business and renewals.
Pace positions its agents as purpose-built for insurance environments, capable of working across complex forms, long email chains, phone interactions, legacy desktop applications and green-screen systems. The company says workflows are configured through natural language instructions known internally as “Agent Operating Procedures,” while agents continuously learn and improve from completed tasks.
Founder and CEO Jamie Cuffe framed the company’s mission around closing the insurance industry’s protection gap.
“Sixty percent of the world’s losses last year went uninsured,” Cuffe said. “A meaningful share is operational – the demand exists and the underwriting works, but servicing costs exceed policy value. Closing the $9 trillion protection gap starts with AI-native operations.”
The funding announcement underscores growing investor appetite for AI-native insurance infrastructure firms as carriers increasingly seek automation technologies capable of improving operational efficiency while working alongside existing systems rather than replacing them.
