Patents by Inventor Edward Dombrower

Edward Dombrower has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20260187699
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Application
    Filed: February 23, 2026
    Publication date: July 2, 2026
    Applicant: REALM IP, LLC
    Inventors: JULIE L. FAUPEL, HUNTER ALBRIGHT, EDWARD DOMBROWER
  • Patent number: 12579568
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Grant
    Filed: February 8, 2024
    Date of Patent: March 17, 2026
    Assignee: REALM IP, LLC
    Inventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
  • Publication number: 20240177205
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Application
    Filed: February 8, 2024
    Publication date: May 30, 2024
    Inventors: JULIE L. FAUPEL, HUNTER ALBRIGHT, EDWARD DOMBROWER
  • Patent number: 11935099
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Grant
    Filed: December 30, 2021
    Date of Patent: March 19, 2024
    Assignee: REALM IP, LLC
    Inventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
  • Publication number: 20220383386
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Application
    Filed: December 30, 2021
    Publication date: December 1, 2022
    Applicant: REALM IP, LLC
    Inventors: JULIE L. FAUPEL, HUNTER ALBRIGHT, EDWARD DOMBROWER
  • Publication number: 20220351271
    Abstract: A collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Application
    Filed: June 30, 2022
    Publication date: November 3, 2022
    Applicant: REALM IP, LLC
    Inventors: Julie L. Faupel, Edward Dombrower
  • Publication number: 20220148069
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Application
    Filed: December 30, 2021
    Publication date: May 12, 2022
    Applicant: REALM IP, LLC
    Inventors: JULIE L. FAUPEL, HUNTER ALBRIGHT, EDWARD DOMBROWER
  • Patent number: 11244374
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Grant
    Filed: December 3, 2019
    Date of Patent: February 8, 2022
    Assignee: REALM IP, LLC
    Inventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
  • Publication number: 20200151982
    Abstract: Systems and methods for securely delivering, transferring ownership, storing, accessing and receiving or returning an item from another are disclosed herein. In one embodiment, a system and method are provided to securely receive a variety of different sizes and types of packages at one or more locations, including but not limited to on or adjacent a recipient's property. In another embodiment, the system and method allow a user to receive, store and/or return an item without exposing the item to loss, damage, spoilage or other events that would impair the value of the items. Methods of utilizing the systems described herein are also disclosed.
    Type: Application
    Filed: November 8, 2019
    Publication date: May 14, 2020
    Inventors: Michael Ross Shell, Sameer Goswami, Brian Maurice Argrow, Bryant Richard Hadden, Daniel Eric Candee, Edward Dombrower, Hunter Thomas Albright, James William Pollock, Kyle Mathew Gustafson, Stephen Robert Silva, John Ruder
  • Patent number: 10621649
    Abstract: A collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Grant
    Filed: August 29, 2019
    Date of Patent: April 14, 2020
    Assignee: REALM IP
    Inventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
  • Publication number: 20200104300
    Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Application
    Filed: December 3, 2019
    Publication date: April 2, 2020
    Applicant: REALM IP, LLC
    Inventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
  • Publication number: 20200074525
    Abstract: A collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.
    Type: Application
    Filed: August 29, 2019
    Publication date: March 5, 2020
    Applicant: REALM IP, LLC
    Inventors: Julie L. Faupel, Hunter Albright, Edward Dombrower