Vellum

Vellum

Data and analytics platform for insurance, leveraging AI to enhance decision-making and portfolio management.

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investor

€0.0

round
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$7.0m

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Total Funding000k
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Vellum Insurance is a cutting-edge data and analytics platform designed specifically for the insurance and reinsurance industries. The company leverages advanced technologies like machine learning and artificial intelligence to help its clients—primarily insurance companies and reinsurance firms—optimize their operations and decision-making processes.

Vellum's platform enables clients to continuously monitor the performance of their portfolios, whether by aggregate, line of business, or specific programs and treaties. This real-time monitoring allows for better decision-making and a deeper understanding of the portfolio, which can lead to increased growth and profitability. By integrating new and innovative data fields into reporting, Vellum helps clients move beyond outdated templates, providing a more flexible and comprehensive view of their data.

The platform also focuses on enhancing relationships with risk partners by offering best-in-class transparency and reporting. This transparency is crucial for building trust and ensuring that all parties have a clear understanding of the risks and opportunities involved. Additionally, Vellum's customizable monitoring tools allow clients to enter new verticals with confidence, further expanding their business opportunities.

Vellum makes money through a subscription-based business model, where clients pay for access to the platform and its various features. This model ensures a steady stream of revenue while providing clients with ongoing support and updates.

In summary, Vellum Insurance transforms the way insurance and reinsurance companies manage their data, turning operational headaches into competitive advantages. The platform's focus on real-time data analysis, transparency, and innovative reporting tools makes it a valuable asset for any company looking to optimize its portfolio management and decision-making processes.

Keywords: insurance, reinsurance, data analytics, machine learning, AI, portfolio management, real-time monitoring, transparency, reporting, automation.

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