People.ai has patented a method for generating new node profiles using electronic activities. The system identifies email addresses, links activities to existing profiles, and creates new profiles for unmatched recipients. This innovation enhances data organization and analysis for unique entities. GlobalData’s report on People.ai gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on People.ai, Quantum machine learning was a key innovation area identified from patents. People.ai's grant share as of May 2024 was 44%. Grant share is based on the ratio of number of grants to total number of patents.

Generating new node profiles from electronic activities

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

A recently granted patent (Publication Number: US12010190B2) discloses a method implemented by one or more processors to maintain node profiles for unique entities, update them with electronic activities, and generate new profiles when necessary. The method involves identifying email addresses, linking activities to profiles, and determining when new profiles need to be created. Additional values from activities are used to assign email addresses to profiles, and a value detection policy is applied to ensure accuracy. The method also includes merging profiles based on predefined policies and updating profiles with information from responses to electronic activities.

Furthermore, the patent also describes a system and a computer-readable storage medium with instructions for implementing the method. The system includes hardware processors configured to maintain node profiles, access electronic activities, and generate new profiles as needed. The processors are also capable of identifying email addresses, linking activities to profiles, and determining when new profiles should be created. The computer-readable storage medium contains instructions for maintaining node profiles, updating them with electronic activities, and generating new profiles based on the information gathered. Overall, the patent details a comprehensive method, system, and storage medium for managing node profiles and electronic activities efficiently and accurately.

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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.