Patents Assigned to REALM IP, LLC
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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: 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