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).
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Publication number: 20260187699Abstract: 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: ApplicationFiled: February 23, 2026Publication date: July 2, 2026Applicant: REALM IP, LLCInventors: JULIE L. FAUPEL, HUNTER ALBRIGHT, EDWARD DOMBROWER
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Patent number: 12579568Abstract: 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: GrantFiled: February 8, 2024Date of Patent: March 17, 2026Assignee: REALM IP, LLCInventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
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Publication number: 20240177205Abstract: 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: ApplicationFiled: February 8, 2024Publication date: May 30, 2024Inventors: JULIE L. FAUPEL, HUNTER ALBRIGHT, EDWARD DOMBROWER
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Patent number: 11935099Abstract: 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: GrantFiled: December 30, 2021Date of Patent: March 19, 2024Assignee: REALM IP, LLCInventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
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Publication number: 20220383386Abstract: 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: ApplicationFiled: December 30, 2021Publication date: December 1, 2022Applicant: REALM IP, LLCInventors: JULIE L. FAUPEL, HUNTER ALBRIGHT, EDWARD DOMBROWER
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Publication number: 20220351271Abstract: 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: ApplicationFiled: June 30, 2022Publication date: November 3, 2022Applicant: REALM IP, LLCInventors: Julie L. Faupel, Edward Dombrower
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Publication number: 20220148069Abstract: 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: ApplicationFiled: December 30, 2021Publication date: May 12, 2022Applicant: REALM IP, LLCInventors: JULIE L. FAUPEL, HUNTER ALBRIGHT, EDWARD DOMBROWER
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Patent number: 11244374Abstract: 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: GrantFiled: December 3, 2019Date of Patent: February 8, 2022Assignee: REALM IP, LLCInventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
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Publication number: 20200151982Abstract: 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: ApplicationFiled: November 8, 2019Publication date: May 14, 2020Inventors: 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
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Patent number: 10621649Abstract: 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: GrantFiled: August 29, 2019Date of Patent: April 14, 2020Assignee: REALM IPInventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
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Publication number: 20200104300Abstract: 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: ApplicationFiled: December 3, 2019Publication date: April 2, 2020Applicant: REALM IP, LLCInventors: Julie L. Faupel, Hunter Albright, Edward Dombrower
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Publication number: 20200074525Abstract: 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: ApplicationFiled: August 29, 2019Publication date: March 5, 2020Applicant: REALM IP, LLCInventors: Julie L. Faupel, Hunter Albright, Edward Dombrower