Pace Secures $46M to Deploy AI Workforce in Insurance Industry

NEW YORK, NY – May 27, 2026 – Pace, an artificial intelligence firm positioning itself as an operations partner for the insurance sector, has announced a $46 million Series B funding round. The investment, co-led by prominent venture capital firms Thrive Capital and Sequoia Capital, signals a significant vote of confidence in the company's mission to overhaul the industry's traditionally manual back-office operations.

With participation from Emergence Capital and Pruven Capital, the new capital infusion is earmarked to scale Pace's 'agentic workforce' on a global scale. Since its launch last year, the company's AI agents have already autonomously completed over a quarter of a million workflows for major partners, including Prudential, Newfront, and WTW. This funding aims to accelerate that number into the tens of millions of tasks across the US, Europe, and other global markets this year.

“At Pace, we are on a mission to insure more of the world’s risk,” said Jamie Cuffe, founder and CEO of Pace. “Closing the $9 trillion protection gap starts with AI-native operations and Pace agents are purpose built for that work.”

The Rise of the Agentic Workforce

Pace's core offering is not just another automation tool; it's what the company describes as an 'agentic workforce.' This represents a leap beyond traditional Robotic Process Automation (RPA), which typically automates repetitive, rules-based tasks. Pace's AI agents are designed to function with a higher degree of autonomy, mimicking the cognitive processes of a human knowledge worker.

These AI agents can navigate complex internal applications, interpret and reason across disparate documents, and even make phone calls to complete tasks. This ability to interact with the insurance industry's often-fragmented and legacy-heavy IT infrastructure—including portals, PDFs, and even faxes—is a critical differentiator. Where modern APIs are absent, Pace's agents are built to operate, effectively providing a virtual, elastic workforce that can be scaled on demand.

The real-world impact of this technology is already being measured by its partners. At Prudential, Pace is automating thousands of hours of manual work related to policy servicing and issuance. In a partnership with Ryze Claim Solutions, the AI agents have accelerated claim cycle times by 30%, a feat that proved crucial during a major storm in Florida where thousands of claims were processed with over 99% accuracy, eliminating backlogs. Meanwhile, at Convex US, the agents are speeding up the critical-but-tedious process of data ingestion for new business and renewals.

Targeting a $9 Trillion Problem

Beyond corporate efficiency, Pace frames its mission in much broader, societal terms: tackling the global insurance 'protection gap.' This gap, estimated at a staggering $9 trillion, represents the difference between the insurance coverage that is economically necessary and the amount that is actually purchased. It is a chasm driven by high costs, product complexity, and operational inefficiencies that make insurance inaccessible or unaffordable for many.

The consequences of this gap are severe, hampering economic recovery after disasters, deepening poverty, and stifling investment. AI-driven solutions are increasingly viewed as a key lever to address this systemic issue. By automating vast swathes of back-office work, companies like Pace can help insurers dramatically reduce operational costs. These savings, in theory, can be passed on to consumers through more competitive premiums, making essential coverage more attainable.

Furthermore, by creating more efficient workflows, AI can enable insurers to develop and offer more personalized and granular products, better matching risk with price and expanding the market to previously underserved populations. The faster claims processing and improved accuracy demonstrated by Pace's technology also work to build consumer trust, a vital component in encouraging greater insurance adoption.

A Major Vote of Confidence from Top VCs

The co-leadership of the funding round by Thrive Capital and Sequoia Capital is more than just a financial transaction; it is a powerful market validation. Thrive Capital, a major investor in AI pioneers like OpenAI, explicitly seeks companies with 'ideas whose time has come.'

“We are in this really special moment where the most important high value parts of the knowledge economy are being augmented and automated to a significant degree by these models,” said Philip Clark, a partner at Thrive Capital, highlighting the firm's belief in both the technological shift and Pace's leadership. “Jamie is one of those people where you go in biased to saying yes.”

Sequoia Capital, with its storied history of backing transformative technology companies from Apple to Google, brings a similar weight of conviction. Their involvement underscores a belief that AI is poised to fundamentally restructure the enterprise software landscape, with the insurance industry being a prime candidate for disruption. The participation of Emergence Capital, a firm focused on the future of work, and Pruven Capital, which is backed by a consortium of global insurance leaders, further cements Pace's strategic position within the industry it aims to serve.

Navigating Global Expansion and Industry Hurdles

Armed with fresh capital and strong investor backing, Pace is embarking on an aggressive expansion. The goal to handle 'tens of millions of operations tasks' this year across the US and Europe is ambitious, reflecting confidence in the technology's scalability. This expansion is supported by partnerships with global giants like WTW, whose Head of Strategy and Operators, Terry Garrett, noted the collaboration would 'make a meaningful difference to our business model over the long term.'

However, this path is not without its challenges. Deploying an 'agentic workforce' at scale raises complex questions about job displacement, requiring a proactive approach to reskilling human employees for higher-value, strategic roles. Furthermore, operating in highly regulated markets like the US and Europe demands meticulous attention to data privacy laws like GDPR, as well as ensuring the AI's decision-making processes are transparent and free from bias.

Building trust within a traditionally conservative industry will be an ongoing process. Insurers and regulators will need assurance that these autonomous agents can operate securely, compliantly, and ethically. Pace's success will depend not only on the power of its technology but also on its ability to navigate these intricate operational, regulatory, and ethical landscapes as it works to build the next century of insurance.