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Key people at Casey.
Casey was founded in 2025 by Nico Hänggi (Founder) and Maximilian Thoelen (Founder) and Pascal Küng (Founder).
Based in San Francisco, California, Casey develops artificial intelligence agents designed to automate commercial insurance brokerage workflows. The company provides a software-as-a-service platform that converts raw client and risk data into carrier-ready submission packages, eliminating the manual assembly of standardized documents such as ACORD forms, driver lists, and loss runs. Additionally, the system utilizes multi-agent technology to manage underwriting follow-ups by automatically comparing carrier inquiries against existing data to draft requests for missing client information. Operating within the commercial property and casualty sector, the startup targets a domestic market of approximately 39,000 independent agencies and brokers. Built initially within BetterFutureLabs and backed by Y Combinator under the guidance of partner David Lieb, the enterprise currently operates with a team of three employees. Casey was founded in 2025 by Nico Hänggi, Pascal Küng, and Maximilian Thoelen.
Casey was founded in 2025 by Nico Hänggi (Founder) and Maximilian Thoelen (Founder) and Pascal Küng (Founder).
Key people at Casey.
Casey is an AI software company focused on transforming the commercial insurance brokerage industry by automating administrative tasks such as submission preparation and data ingestion. Its product streamlines workflows for brokers handling complex, hard-to-place insurance risks by automatically ingesting client data from multiple sources and generating carrier-ready submission packages. This automation frees brokers from paperwork, allowing them to focus on client advising and business growth. Casey serves commercial insurance brokers and addresses the inefficiencies and time-consuming nature of insurance submissions, accelerating deal flow and improving operational efficiency[2][4].
Casey was built as an AI-native startup within BetterFutureLabs, leveraging multi-agent and multimodal AI technologies to radically accelerate insurance fraud detection and administrative processes. While specific founder details are not publicly highlighted, the company emerged from a need to automate and simplify complex insurance workflows, gaining early traction by delivering significant time savings and accuracy improvements for brokers. Its evolution reflects a broader trend of embedding AI deeply into insurance operations to enhance productivity[1][2].
Casey rides the wave of AI-driven automation in insurance, a sector traditionally burdened by manual, paper-heavy processes. The timing is critical as commercial insurance brokers face increasing complexity in risk submissions and heightened demand for operational efficiency. Market forces such as digital transformation, regulatory pressures, and the need for faster underwriting decisions favor AI solutions like Casey. By automating administrative workflows, Casey not only improves broker productivity but also influences the broader insurance ecosystem by setting new standards for data handling and submission accuracy[1][2].
Looking ahead, Casey is well-positioned to expand its AI capabilities to cover more aspects of insurance brokerage beyond submission preparation, potentially incorporating fraud detection and risk analytics. Trends such as increased AI adoption in insurance, demand for real-time data processing, and integration with carrier systems will shape its growth trajectory. Casey’s influence is likely to grow as brokers increasingly rely on AI to differentiate themselves in a competitive market, making it a key player in the digital transformation of commercial insurance distribution[1][2].