Reserv

High-Level Overview

Reserv is a tech-enabled third-party administrator (TPA) specializing in property & casualty (P&C) insurance claims processing, serving managing general agents (MGAs), carriers, and self-insureds across North America, the UK, and EU.[2][3][4][5] It builds an AI-native platform that automates mundane tasks, analyzes structured and unstructured data for insights, and delivers analytics, reporting, and APIs to empower claims adjusters, underwriters, and partners—solving inefficiencies in legacy systems like delays, poor data visibility, and suboptimal pricing.[1][2][4][5] With triple-digit year-over-year revenue growth, over 350 employees, 80+ MGA clients, and 20 carriers, Reserv has raised $55M from investors like Flourish Ventures, Bain Capital Ventures, and Altai Ventures, plus recent backing from Accenture to scale globally.[3][4]

Origin Story

Founded in 2022 by industry veterans CJ Przybyl (CEO and co-founder) and Martha Dreiling, Reserv emerged to address persistent gaps in insurance claims processing, leveraging modern tech to replace outdated legacy platforms.[1][4][6] Przybyl and Dreiling drew from deep P&C expertise to create a cloud-based, API-enabled system that digitizes claims from first notice of loss (FNOL) to settlement, including rapid data migration from legacy TPAs—cutting timelines from nine months to under two weeks.[3] Early traction included becoming a Delegated Claims Administrator (DCA) for Lloyd's of London, earning CB Insights' Top 50 Most Promising Insurtechs of 2024, and "Best Newcomer" at the British Insurance Awards, fueling rapid scaling to 320-350 employees across the US and UK.[3][4]

Core Differentiators

• AI-Driven Automation and Intelligence: Uses generative AI, machine learning, and multiple LLMs to process massive data volumes, automate background tasks, highlight portfolio risks, and enable real-time decisions—freeing adjusters for complex cases.[1][2][3][4][5]
• Modern, Scalable Tech Stack: Cloud-native platform with no legacy debt supports seamless integrations, automated data rollover, structured reconciliation of unstructured data (e.g., emails), and financial accuracy to the penny.[2][3][5][6]
• Full-Service TPA with Expertise: Combines high-performing in-house adjusters (broad talent pool, AI-led training) with white-glove service, customizable workflows, and global compliance for all P&C lines like commercial auto, liability, and malpractice.[2][3][4][5]
• Data Advantages: Captures every data point into a warehouse for dashboards, automated reporting, and APIs—delivering actionable insights to claims leaders and underwriters without tech hurdles.[2][5]

Role in the Broader Tech Landscape

Reserv rides the AI transformation in insurtech, targeting a claims ecosystem plagued by delays, confusion, and inefficiency amid rising data volumes from legacy systems.[1][3][4] Its timing aligns with surging demand for granular risk analytics and competitive pricing in P&C, amplified by post-pandemic claims surges and regulatory pressures like Lloyd's DCA status.[3][4] Market forces favoring Reserv include insurers' shift to MGAs/carriers seeking scalable TPAs, AI adoption for operational resilience, and partnerships like Accenture's for global legacy integrations—positioning it as a leader in next-gen TPAs influencing faster payouts, better customer experiences, and data-driven underwriting across the $100B+ P&C sector.[1][3][4]

Quick Take & Future Outlook

Reserv's momentum—triple-digit growth, strategic investments, and awards—signals dominance in AI-powered claims, with Accenture's Project Spotlight accelerating enterprise access and global expansion.[1][3][4] Next steps likely include deeper AI innovations (e.g., advanced LLMs for predictive modeling), EU scaling, and more carrier wins amid insurtech consolidation. Trends like generative AI proliferation and climate-driven claims volatility will propel it, evolving its influence from TPA disruptor to ecosystem enabler—ultimately redefining efficient, claimant-centric insurance at scale, much like its founding vision to unlock data advantages.[1][2][3][4]