Traditional reserve methods can miss the mark when it comes to fully capturing uncertainty. Our state-of-the-art probabilistic model, designed for your specific dataset, offers a more accurate and reliable approach, backed by rigorous testing. It’s built to provide enterprise-wide insights and help you manage reserves with greater confidence. See a demo of 57 carriers or read more technical details on the model.
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Trending data is often limited, noisy, and characterized by unique, nonlinear patterns. Our nonparametric approach leverages your data dependencies through a highly flexible model structure, enabling accurate forecasts across a wide range of potential metrics and patterns. Additionally, we provide reliable variance estimates to inform judgment, support sensitivity testing, and evaluate historical model performance against traditional methods. The Proxima methodology is adapted from our development model.
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The more segmentation in your pricing, the more tracking you need to perform. The faster you can assess segment performance, the faster you can react. Proxima modeling can achieve accurate performance projections at the granularity needed for business decisions.
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Optimizing insurer investment return relies on claim payout assumptions. Actuaries have a role in identifying these patterns for investment groups. Proxima payout simulations are well-suited for informing investment allocations, especially when combined with the Proxima probabilistic reserve model. See an example as part of our model guide.
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Making sound judgments in insurance is tough. Decision-making often occurs in silos, leading to inconsistent processes across teams. The methods used by any one process may not fully capture the complexity of risk. Further, at the enterprise level, understanding how risks interact is often limited, making it easy for well-intentioned decisions to miss the mark.
At Proxima, we partner with you to elevate decision-making to new heights. When we reimagine your process, we don't just work with data; we unlock its full potential for actionable insights. Our innovative methodology redefines how data is segmented and interpreted, giving you a more profound understanding of your business. Each tailored solution is crafted to align precisely with your business objectives, empowering you to make every decision with clarity and confidence. Together, we’ll forge a pathway of trust and transparency, making every choice a step toward a more resilient and informed future.
High-end machine learning models demand extensive data and compute resources, along with complex configurations and ongoing maintenance. We take the hassle out of managing these environments, providing a seamless setup that lets you focus on results.
Powered by AWS, our solutions handle everything from environment management to resource optimization, leveraging products like EC2, RDS, and SageMaker to ensure scalable, high-performance infrastructure tailored to your unique needs.
Devan Griffith brings over a decade of actuarial experience and a passion for innovative analytics to the insurance industry. Having worked with Fortune 500 insurers, national insurance bureaus, and startup insurers and agencies, he has gained valuable insights into the diverse barriers to success in insurance.
As a published author in actuarial journals, Devan is committed to providing solutions that represent the forefront of analytic advancements in the industry. Proxima Analytics was established to advance this commitment and enable practical applications.
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