Massachusetts Mutual Life Insurance‘s patent involves a method and system using artificial intelligence to value a fund with shares of private entities. The server identifies comparable public entities, calculates private entity values in real time, and displays the fund value anonymously. GlobalData’s report on Massachusetts Mutual Life Insurance gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Massachusetts Mutual Life Insurance, Predictive modeling techniques was a key innovation area identified from patents. Massachusetts Mutual Life Insurance's grant share as of May 2024 was 76%. Grant share is based on the ratio of number of grants to total number of patents.

Valuing a fund comprising shares of multiple private entities

Source: United States Patent and Trademark Office (USPTO). Credit: Massachusetts Mutual Life Insurance Company

A recently granted patent (Publication Number: US12002096B1) outlines a method and system for utilizing artificial intelligence models to identify comparable public entities for private entities. The method involves executing a set of AI models, including a distance k-nearest algorithm and linear regression algorithm, to determine values for private entities based on identified comparable public entities. The system displays an indicator of a fund's value on a graphical user interface, with anonymized private entity values. Additionally, the AI models can be updated in real-time based on financial data modifications of public entities, and the system can crawl databases to identify web documents associated with private entities.

Furthermore, the system includes a server with a processor that executes the AI models to identify comparable public entities for private entities based on known attributes and valuations. The system can display fund values on a graphical user interface, with customizable time periods for analysis. The AI models may also include a boosting tree regression algorithm for enhanced identification of comparable public entities. Overall, the patent describes a comprehensive method and system for valuation and comparison of private entities using AI models, providing real-time updates and a user-friendly interface for effective decision-making in financial contexts.

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