We use financial engineering and AI technology to sort through over 1,500,000 existing data sets on the current US life insurance market to identify the most optimized solutions, with speed and accuracy impossible for traditional agents to attain.
Cloud Computing and Data Analysis
PWS constantly updates our cloud database, which currently contains millions of life insurance policy data points, to ensure our data analytic systems can optimize results from a large and complete picture of the market in real time.
Optimized Return Simulations
PWS financial experts use Monte Carlo simulations and Stochastic Modeling to simulate the risks that may arise under different economic conditions to maximize chances in achieving absolute return. This stress test methodology optimizes risk-adjusted return for protection during down-markets, rather than pretty numbers on paper.