BlackRock has patented a decision-making tool for real estate properties that predicts capital crowding in specific zip codes using a neural network model. The tool analyzes transaction and construction data to inform investment decisions. GlobalData’s report on BlackRock gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on BlackRock, Insurance pricing automation was a key innovation area identified from patents. BlackRock's grant share as of February 2024 was 65%. Grant share is based on the ratio of number of grants to total number of patents.

Real estate capital crowding prediction tool

Source: United States Patent and Trademark Office (USPTO). Credit: BlackRock Inc

A recently granted patent (Publication Number: US11887136B1) outlines a method for generating on-demand messages to user devices to predict capital crowding of transaction events in a specific geographical area covered by multiple zip codes. The method involves receiving event records from remote databases, transforming them into training datasets, and using a neural network-based prediction model to generate predicted event scores. These scores indicate the likelihood of capital crowding occurring in a particular area within a fixed period. The system includes a communication interface, processors, and memory to store and process the data, ultimately transmitting capital crowding prediction messages to user devices for display on a user interface.

The patent details various aspects of the method, including the generation of transaction and construction feature inputs based on growth trends, the use of binary input vectors to classify events, and the balancing of event records by applying weights based on data frequency. Additionally, the system is designed to handle new event records not included in the initial dataset, allowing for continuous prediction updates. The neural network-based prediction model functions as a binary classifier, indicating the occurrence of capital crowding events in the subsequent period. Overall, the method and system described in the patent aim to provide accurate and timely predictions of capital crowding in specific geographical areas, offering valuable insights for decision-making in real estate and construction industries.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.