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 January 2024 was 64%. 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 and system for generating on-demand messages to predict capital crowding of transaction events in a specific geographical area using a neural network-based prediction model. The method involves receiving event records from remote databases, transforming them into training datasets, and generating feature input vectors based on transaction and construction event counts in specific zip codes and property types over different time periods. These feature inputs are then combined and used to train a neural network model to predict the probability of capital crowding occurring in a target zip code and property type within a fixed period. The predicted event score is transmitted to a user device for display, providing insights into potential capital crowding scenarios.

The patent also details the generation of transaction and construction feature inputs, the process of balancing event records, and the creation of combined feature input vectors to enhance the accuracy of the prediction model. Additionally, the system described includes a communication interface, processors, and memory to store and execute the necessary instructions for transforming event records, training the neural network model, and transmitting the predicted event scores to user devices. By leveraging data on transaction and construction events in specific zip codes and property types, this method aims to provide valuable insights into potential capital crowding scenarios, enabling users to make informed decisions in real estate transactions within the defined geographical area.

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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.