Nekomodel X: Advanced risk assessment platform

Nekomodel X: Advanced risk assessment platform

Nekomodel X: Advanced risk assessment platform 1400 700 Yvonne Torres

Praedicat’s Nekomodel is our cutting-edge modeling technology that revolutionizes the way companies assess their exposure to emerging risks, and Nekomodel X is the next generation of our advanced risk assessment platform. It leverages the power of machine learning and natural language processing to analyze vast amounts of unstructured data from a wide range of sources, including scientific literature, regulatory filings, news articles, and social media.  

The platform provides users with real-time insights into emerging risks across multiple industries, including food and beverage, pharmaceuticals, and consumer products. It also facilitates exposure-based pricing and reserving – capabilities that have never been available in a scalable way to casualty insurers. By using Nekomodel X, companies can proactively identify potential risks to their products, supply chains and operations, allowing them to take portfolio-wide preemptive measures to mitigate these risks. 

One of the key benefits of the Nekomodel X is its ability to identify potential risks that are not yet fully understood or recognized by regulatory agencies. This can help companies stay ahead of the curve when it comes to emerging risks, allowing them to take a proactive approach to risk management and minimize potential losses. 

Overall, the Nekomodel X is a powerful tool for companies looking to stay ahead of emerging risks and protect their business from potential losses. Its advanced analytics and data science capabilities make it an essential tool for risk management professionals across a wide range of industries. 

Want to hear some of our folks talking about the Nekomodel X? Click below to watch the full-length video (~16 minutes) or short-form videos.  

Nekomodel press release (2022) 

Learn how Nekomodel X can help drive profitable sustainable growth for you by contacting us.   

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