Patents by Inventor Andrew Macrae

Andrew Macrae 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).

  • Patent number: 11995704
    Abstract: 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: Grant
    Filed: May 12, 2023
    Date of Patent: May 28, 2024
    Assignee: 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
  • Patent number: 11972469
    Abstract: 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: Grant
    Filed: November 15, 2021
    Date of Patent: April 30, 2024
    Assignee: 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
  • Publication number: 20240070707
    Abstract: Systems and methods are described for managing inventory stock for variable weighted and variable priced agricultural products. A system includes a memory device storing a data structure that relates a plurality of available base unit values and a plurality of available base unit measurement types to each type of agricultural product type. The system also includes an interface controller configured to provide an interactive interface for a vendor. The interactive interface includes an agricultural product type field, a base unit values field, and a base unit measurement type field. The system further includes a processor that creates a product purchase interactive interface using a selected agricultural product type, a selected base unit value, and a selected base unit measurement type to enable a buyer to purchase the agricultural product type in one or more increments of the base unit value at the base unit measurement type.
    Type: Application
    Filed: November 6, 2023
    Publication date: February 29, 2024
    Inventors: Janelle Joy Maiocco, Jeremy MacRae, Samuel James San Nicolas, Geoff Schwab, Andrew Smith
  • Publication number: 20230281694
    Abstract: 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: Application
    Filed: May 12, 2023
    Publication date: September 7, 2023
    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
  • Patent number: 11687994
    Abstract: 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: Grant
    Filed: May 19, 2022
    Date of Patent: June 27, 2023
    Assignee: 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
  • Publication number: 20220391962
    Abstract: 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: Application
    Filed: May 19, 2022
    Publication date: December 8, 2022
    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
  • Patent number: 11341559
    Abstract: 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: Grant
    Filed: December 19, 2019
    Date of Patent: May 24, 2022
    Assignee: Leafly Holdings, Inc.
    Inventors: Nickolas Jikomes, Marc Brandon Hensley, Andrew MacRae, Matthew Bollen, Stephanie Smith, Adam Hilborn, Sam Starr, Renata Leao Duarte, Santiago Seira
  • Publication number: 20220148067
    Abstract: 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: Application
    Filed: November 15, 2021
    Publication date: May 12, 2022
    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
  • Publication number: 20210400971
    Abstract: Disclosed herein includes a safening composition comprising an herbicidally effective amount of (a) at least one phenoxy herbicide, or an agriculturally acceptable salts, esters, and amides thereof; (b) at least one safener from quinolinyloxyacetate family of chemicals, or agriculturally acceptable salts, esters and amides thereof, wherein the weight ratio of the at least one phenoxy herbicide to cloquintocet is from about 500:1 to about 1:1. Herbicidal injury caused by a phenoxy herbicide in wheat and barley is reduced with the use of low rates of cloquintocet.
    Type: Application
    Filed: October 31, 2019
    Publication date: December 30, 2021
    Applicant: DOW AGROSCIENCES LLC
    Inventors: Rory Frank Degenhardt, Andrew Macrae
  • Patent number: 11205210
    Abstract: 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: Grant
    Filed: December 20, 2018
    Date of Patent: December 21, 2021
    Assignee: 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
  • Publication number: 20210195898
    Abstract: Provided herein are safened herbicidal compositions for use in Brassica species susceptible to injury by halauxifen comprising (a) a herbicidally effective amount of halauxifen or an agriculturally acceptable salt or ester of thereof, and (b) one or more of (i) a herbicide[s], capable of safening the halauxifen to the Brassica species, or an agriculturally acceptable salt or ester thereof, or (ii) a herbicide safener, capable of safening the halauxifen to the Brassica species, or an agriculturally acceptable salt or ester thereof.
    Type: Application
    Filed: February 4, 2021
    Publication date: July 1, 2021
    Applicant: Corteva Agriscience LLC
    Inventors: Rory Degenhardt, Len Juras, Norbert M. Satchivi, Shelley Bath, Bernard M. Harris, Andrew MacRae, Roger E. Gast, Richard K. Mann, Laura Smith
  • Publication number: 20200219167
    Abstract: 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: Application
    Filed: December 19, 2019
    Publication date: July 9, 2020
    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 Tré Ammatuna, III, Zack Seuberling
  • Publication number: 20200202409
    Abstract: 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: Application
    Filed: December 20, 2018
    Publication date: June 25, 2020
    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
  • Publication number: 20170354148
    Abstract: Provided herein are safened herbicidal compositions for use in Brassica species susceptible to injury by halauxifen comprising (a) a herbicidally effective amount of halauxifen or an agriculturally acceptable salt or ester of thereof, and (b) one or more of (i) a herbicide[s], capable of safening the halauxifen to the Brassica species, or an agriculturally acceptable salt or ester thereof, or (ii) a herbicide safener, capable of safening the halauxifen to the Brassica species, or an agriculturally acceptable salt or ester thereof.
    Type: Application
    Filed: June 6, 2017
    Publication date: December 14, 2017
    Applicant: Dow AgroSciences LLC
    Inventors: Rory Degenhardt, Len Juras, Norbert M. Satchivi, Shelley Bath, Bernard M. Harris, Andrew Macrae, Roger E. Gast, Richard K. Mann, Laura Smith