Patents by Inventor Marc Brandon HENSLEY
Marc Brandon HENSLEY 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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Patent number: 11995704Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products to be visualized and compared based on their chemical composition, even by laypeople with little or no knowledge of the underlying objective data. A recommendation system is built upon this which can recommend products for consumption, including a user interface for receiving user input, which includes at least one of demographic data, desired level of psychoactivity, or prior experience with the product, a merchant interface for receiving merchant input, including at least one of general data descriptive of the regulated product, lab data descriptive of the regulated products chemical composition, and user data descriptive of subjective effects of the regulated product on a user; and a decision engine making a recommendation of product according to correlation of the lab data with the user data.Type: GrantFiled: May 12, 2023Date of Patent: May 28, 2024Assignee: Leafly Holdings, Inc.Inventors: Nickolas Jikomes, Marc Brandon Hensley, Andrew MacRae, Matthew Bollen, Stephanie Smith, Camille Lim, Michael Wityk, Adam Hilborn, Sam Starr, Santiago Seira, Rachael Crocker Duranti, Christiana Smith, George Paul Ammatuna, III, Zack Seuberling, Renata Leao Duarte
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Patent number: 11972469Abstract: A system for categorizing, visualizing, and recommending Cannabis products based on objective data of the chemical composition of products is described. This system allows Cannabis products to be visualized and compared based on their chemical composition, even by laypeople with little or no knowledge of the underlying objective data. A recommendation system is built upon this which can recommend products for consumption, including a user interface for receiving user input, which includes at least one of demographic data, desired level of psychoactivity, or prior experience with the product, a merchant interface for receiving merchant input, including at least one of general data descriptive of the regulated product, lab data descriptive of the regulated products chemical composition, and user data descriptive of subjective effects of the regulated product on a user; and a decision engine making a recommendation of product according to correlation of the lab data with the user data.Type: GrantFiled: November 15, 2021Date of Patent: April 30, 2024Assignee: Leafly Holdings, Inc.Inventors: Nickolas Jikomes, Marc Brandon Hensley, Jason Makuch, Andrew MacRae, Nathan Lauer, Matthew Bollen, Stephanie Smith, Camille Lim, Michael Wityk, Adam Hilborn, Sam Starr, Christian Ramsey, Renata Le Duartes, III, Santiago Seira, Anna Zeng
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Publication number: 20230281694Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products to be visualized and compared based on their chemical composition, even by laypeople with little or no knowledge of the underlying objective data. A recommendation system is built upon this which can recommend products for consumption, including a user interface for receiving user input, which includes at least one of demographic data, desired level of psychoactivity, or prior experience with the product, a merchant interface for receiving merchant input, including at least one of general data descriptive of the regulated product, lab data descriptive of the regulated products chemical composition, and user data descriptive of subjective effects of the regulated product on a user; and a decision engine making a recommendation of product according to correlation of the lab data with the user data.Type: ApplicationFiled: May 12, 2023Publication date: September 7, 2023Inventors: Nickolas Jikomes, Marc Brandon Hensley, Andrew MacRae, Matthew Bollen, Stephanie Smith, Camille Lim, Michael Wityk, Adam Hilborn, Sam Starr, Santiago Seira, Rachael Crocker Duranti, Christiana Smith, George Paul Ammatuna, III, Zack Seuberling, Renata Leao Duarte
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Patent number: 11687994Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products to be visualized and compared based on their chemical composition, even by laypeople with little or no knowledge of the underlying objective data. A recommendation system is built upon this which can recommend products for consumption, including a user interface for receiving user input, which includes at least one of demographic data, desired level of psychoactivity, or prior experience with the product, a merchant interface for receiving merchant input, including at least one of general data descriptive of the regulated product, lab data descriptive of the regulated products chemical composition, and user data descriptive of subjective effects of the regulated product on a user; and a decision engine making a recommendation of product according to correlation of the lab data with the user data.Type: GrantFiled: May 19, 2022Date of Patent: June 27, 2023Assignee: Leafly Holdings, Inc.Inventors: Nickolas Jikomes, Marc Brandon Hensley, Andrew MacRae, Matthew Bollen, Stephanie Smith, Camille Lim, Michael Wityk, Adam Hilborn, Sam Starr, Santiago Seira, Rachael Crocker Duranti, Christiana Smith, George Paul Ammatuna, III, Zack Seuberling, Renata Leao Duarte
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Publication number: 20220391962Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products to be visualized and compared based on their chemical composition, even by laypeople with little or no knowledge of the underlying objective data. A recommendation system is built upon this which can recommend products for consumption, including a user interface for receiving user input, which includes at least one of demographic data, desired level of psychoactivity, or prior experience with the product, a merchant interface for receiving merchant input, including at least one of general data descriptive of the regulated product, lab data descriptive of the regulated products chemical composition, and user data descriptive of subjective effects of the regulated product on a user; and a decision engine making a recommendation of product according to correlation of the lab data with the user data.Type: ApplicationFiled: May 19, 2022Publication date: December 8, 2022Inventors: Nickolas Jikomes, Marc Brandon Hensley, Andrew MacRae, Matthew Bollen, Stephanie Smith, Camille Lim, Michael Wityk, Adam Hilborn, Sam Starr, Santiago Seira, Rachael Crocker Duranti, Christiana Smith, George Paul Ammatuna, III, Zack Seuberling, Renata Leao Duarte
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Patent number: 11341559Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products to be visualized and compared based on their chemical composition, even by laypeople with little or no knowledge of the underlying objective data. A recommendation system is built upon this which can recommend products for consumption, including a user interface for receiving user input, which includes at least one of demographic data, desired level of psychoactivity, or prior experience with the product, a merchant interface for receiving merchant input, including at least one of general data descriptive of the regulated product, lab data descriptive of the regulated products chemical composition, and user data descriptive of subjective effects of the regulated product on a user; and a decision engine making a recommendation of product according to correlation of the lab data with the user data.Type: GrantFiled: December 19, 2019Date of Patent: May 24, 2022Assignee: Leafly Holdings, Inc.Inventors: Nickolas Jikomes, Marc Brandon Hensley, Andrew MacRae, Matthew Bollen, Stephanie Smith, Adam Hilborn, Sam Starr, Renata Leao Duarte, Santiago Seira
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Publication number: 20220148067Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products to be visualized and compared based on their chemical composition, even by laypeople with little or no knowledge of the underlying objective data. A recommendation system is built upon this which can recommend products for consumption, including a user interface for receiving user input, which includes at least one of demographic data, desired level of psychoactivity, or prior experience with the product, a merchant interface for receiving merchant input, including at least one of general data descriptive of the regulated product, lab data descriptive of the regulated products chemical composition, and user data descriptive of subjective effects of the regulated product on a user; and a decision engine making a recommendation of product according to correlation of the lab data with the user data.Type: ApplicationFiled: November 15, 2021Publication date: May 12, 2022Inventors: Nickolas Jikomes, Marc Brandon Hensley, Jason Makuch, Andrew MacRae, Nathan Lauer, Matthew Bollen, Stephanie Smith, Camille Lim, Michael Wityk, Adam Hilborn, Sam Starr, Christian Ramsey, Renata Le Duartes, III, Santiago Seira, Anna Zeng
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Patent number: 11205210Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products to be visualized and compared based on their chemical composition, even by laypeople with little or no knowledge of the underlying objective data. A recommendation system is built upon this which can recommend products for consumption, including a user interface for receiving user input, which includes at least one of demographic data, desired level of psychoactivity, or prior experience with the product, a merchant interface for receiving merchant input, including at least one of general data descriptive of the regulated product, lab data descriptive of the regulated products chemical composition, and user data descriptive of subjective effects of the regulated product on a user; and a decision engine making a recommendation of product according to correlation of the lab data with the user data.Type: GrantFiled: December 20, 2018Date of Patent: December 21, 2021Assignee: Leafly Holdings, Inc.Inventors: Nickolas Jikomes, Marc Brandon Hensley, Jason Makuch, Andrew Macrae, Nathan Lauer, Matthew Bollen, Stephanie Smith, Camille Lim, Michael Wityk, Adam Hilborn, Sam Starr, Christian Ramsey, Renata Le Duartes, Santiago Seira, Anna Zeng
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Publication number: 20200219167Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products to be visualized and compared based on their chemical composition, even by laypeople with little or no knowledge of the underlying objective data. A recommendation system is built upon this which can recommend products for consumption, including a user interface for receiving user input, which includes at least one of demographic data, desired level of psychoactivity, or prior experience with the product, a merchant interface for receiving merchant input, including at least one of general data descriptive of the regulated product, lab data descriptive of the regulated products chemical composition, and user data descriptive of subjective effects of the regulated product on a user; and a decision engine making a recommendation of product according to correlation of the lab data with the user data.Type: ApplicationFiled: December 19, 2019Publication date: July 9, 2020Inventors: Nickolas Jikomes, Marc Brandon Hensley, Andrew MacRae, Matthew Bollen, Stephanie Smith, Camille Lim, Michael Wityk, Adam Hilborn, Sam Starr, Santiago Seira, Rachael Crocker Duranti, Christiana Smith, George Tré Ammatuna, III, Zack Seuberling
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Publication number: 20200202409Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products to be visualized and compared based on their chemical composition, even by laypeople with little or no knowledge of the underlying objective data. A recommendation system is built upon this which can recommend products for consumption, including a user interface for receiving user input, which includes at least one of demographic data, desired level of psychoactivity, or prior experience with the product, a merchant interface for receiving merchant input, including at least one of general data descriptive of the regulated product, lab data descriptive of the regulated products chemical composition, and user data descriptive of subjective effects of the regulated product on a user; and a decision engine making a recommendation of product according to correlation of the lab data with the user data.Type: ApplicationFiled: December 20, 2018Publication date: June 25, 2020Inventors: Nickolas JIKOMES, Marc Brandon HENSLEY, Jason MAKUCH, Andrew MACRAE, Nathan LAUER, Matthew BOLLEN, Stephanie SMITH, Camille LIM, Michael WITYK, Adam HILBORN, Sam STARR, Christian RAMSEY, Renata LE DUARTES, Santiago SEIRA, Anna ZENG