Patents by Inventor Craig Andrews

Craig Andrews 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: 12148058
    Abstract: Systems and methods for digital property authentication and management are disclosed. A document representing a trade secret may be requested to be registered with a trade secret registry. A document obfuscation value corresponding to the document may be generated and may be registered with a blockchain. A record of the registration may be generated for the trade secret registry. The registry may be searchable and/or offer functionality such as valuation, insurance provision, and/or verification, among other benefits and functionalities.
    Type: Grant
    Filed: September 21, 2023
    Date of Patent: November 19, 2024
    Assignee: Moat Metrics, Inc.
    Inventors: Lewis C. Lee, Daniel Crouse, David Craig Andrews, Samuel Cameron Fleming
  • Patent number: 12148057
    Abstract: Systems and methods for dataset distinctiveness modeling are disclosed. For example, databases may be queried for datasets associated with intellectual property assets, particularly trademarks. A vector representation may be generated for the mark in question, and a vector representation may be generated for the description of goods and/or services associated with the mark. A machine learning model may be trained to predict a distinctiveness score based on the vector representations, similarity metrics between the trademark and other marks, goods and services of the other marks, and context data associated with the trademarks.
    Type: Grant
    Filed: June 3, 2022
    Date of Patent: November 19, 2024
    Assignee: Moat Metrics, Inc.
    Inventors: David Craig Andrews, Deanna Lily Emery, Melody Denise Litovkin, Ke Feng, Stacy P. Chronopoulos, Grace Edith Carlson
  • Publication number: 20240311941
    Abstract: Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.
    Type: Application
    Filed: May 22, 2024
    Publication date: September 19, 2024
    Inventors: Lewis C. Lee, Daniel Crouse, David Craig Andrews, Samuel Cameron Fleming
  • Publication number: 20240304073
    Abstract: An example of a posture monitoring and correction system monitors user's posture and induces corrective action. The system includes a wearable monitoring group that acquires posture data with a group of sensors. A processing module is in signal communication with the wearable monitoring group to receive the posture data and compute a risk of injury parameter. Correction elements induce a corrective action in the user's body upon the risk of injury indicator parameter exceeding a threshold level.
    Type: Application
    Filed: March 12, 2024
    Publication date: September 12, 2024
    Inventors: Craig Andrews, William V. Padula, Chris Andrews
  • Patent number: 12036464
    Abstract: A putting training device attachment including a shaft mount for mounting on a putter shaft; a pendulum assembly mounted on the mount; an indicating gauge connected to the pendulum assembly for indicating a preferred track for the pendulum. A putter is described for training.
    Type: Grant
    Filed: October 22, 2019
    Date of Patent: July 16, 2024
    Assignee: Arnolds Innovations Pty Ltd
    Inventors: Brett Arnold, Craig Andrews, Rohaan Taneja
  • Publication number: 20240221098
    Abstract: Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.
    Type: Application
    Filed: January 24, 2024
    Publication date: July 4, 2024
    Inventors: Lewis C. Lee, David Craig Andrews, Daniel Crouse, Samuel Cameron Fleming
  • Patent number: 11967217
    Abstract: A risk of fall detection system comprising: a wearable monitoring group configured to acquire posture data and comprising: a first sensor configured to be attached to a lower part of a user's torso and to detect the position of said lower part, a second sensor configured to be attached to an upper part of the user's torso and to detect the position of said upper part, a third sensor configured to be attached to at least one user's lower limb and to detect the position of said user's lower limb, a processing module in signal communication with the wearable monitoring group and configured to process the acquired posture data and to compute a risk of fall indicator parameter from the relative position of the lower part of user's torso, upper part of user's torso, and user's lower limb detected by the first, second and third sensor, respectively.
    Type: Grant
    Filed: March 10, 2023
    Date of Patent: April 23, 2024
    Inventors: Craig Andrews, William V. Padula, Chris Andrews
  • Patent number: 11941714
    Abstract: Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.
    Type: Grant
    Filed: July 3, 2019
    Date of Patent: March 26, 2024
    Assignee: AON RISK SERVICES, INC. OF MARYLAND
    Inventors: Lewis C. Lee, Daniel Crouse, David Craig Andrews, Samuel Cameron Fleming
  • Publication number: 20240087066
    Abstract: Systems and methods for digital property authentication and management are disclosed. A document representing a trade secret may be requested to be registered with a trade secret registry. A document obfuscation value corresponding to the document may be generated and may be registered with a blockchain. A record of the registration may be generated for the trade secret registry. The registry may be searchable and/or offer functionality such as valuation, insurance provision, and/or verification, among other benefits and functionalities.
    Type: Application
    Filed: September 21, 2023
    Publication date: March 14, 2024
    Inventors: Lewis C. Lee, Daniel Crouse, David Craig Andrews, Samuel Cameron Fleming
  • Patent number: 11893537
    Abstract: Systems may evaluate a claim or patent with respect to a related set of claims or patent documents. The systems may perform linguistic analyses of claims included in the patent and the related set of patent documents. Based on the linguistic analyses, the systems may identify claim limitations, and/or claim elements. The systems may generate a claim profile for each claim being evaluated. The claim profile may include ratings or scores for various metrics related to the claims being evaluated. The systems may also generate a peer group profile that provides an overall measure of metrics for claims included in a peer group of patent documents.
    Type: Grant
    Filed: December 8, 2020
    Date of Patent: February 6, 2024
    Assignee: AON RISK SERVICES, INC. OF MARYLAND
    Inventor: David Craig Andrews
  • Patent number: 11893505
    Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.
    Type: Grant
    Filed: June 10, 2020
    Date of Patent: February 6, 2024
    Assignee: AON RISK SERVICES, INC. OF MARYLAND
    Inventors: Samuel Cameron Fleming, David Craig Andrews, John E. Bradley, III, Scott Buzan, Jared Dirk Sol, Timothy Seegan, Joseph Henderson Ashmore, Christopher Ali Mirabzadeh
  • Patent number: 11887201
    Abstract: Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.
    Type: Grant
    Filed: December 20, 2021
    Date of Patent: January 30, 2024
    Assignee: AON RISK SERVICES, INC. OF MARYLAND
    Inventors: Lewis C. Lee, Daniel Crouse, David Craig Andrews, Samuel Cameron Fleming
  • Publication number: 20230394607
    Abstract: Systems and methods for dataset distinctiveness modeling are disclosed. For example, databases may be queried for datasets associated with intellectual property assets, particularly trademarks. A vector representation may be generated for the mark in question, and a vector representation may be generated for the description of goods and/or services associated with the mark. A machine learning model may be trained to predict a distinctiveness score based on the vector representations, similarity metrics between the trademark and other marks, goods and services of the other marks, and context data associated with the trademarks.
    Type: Application
    Filed: June 3, 2022
    Publication date: December 7, 2023
    Inventors: David Craig Andrews, Grace Edith Carlson, Deanna Lily Emery, Stacy P. Chronopoulos, Ke Feng, Melody Denise Litovkin
  • Publication number: 20230394606
    Abstract: Systems and methods for dataset distinctiveness modeling are disclosed. For example, databases may be queried for datasets associated with intellectual property assets, particularly trademarks. A vector representation may be generated for the mark in question, and a vector representation may be generated for the description of goods and/or services associated with the mark. A machine learning model may be trained to predict a distinctiveness score based on the vector representations, similarity metrics between the trademark and other marks, goods and services of the other marks, and context data associated with the trademarks.
    Type: Application
    Filed: June 3, 2022
    Publication date: December 7, 2023
    Inventors: David Craig Andrews, Deanna Lily Emery, Melody Denise Litovkin, Ke Feng, Stacy P. Chronopoulos, Grace Edith Carlson
  • Patent number: 11803927
    Abstract: Techniques described herein are directed to analyzing intellectual-property data according to provide various intellectual property related services to organizations. In particular implementations, information related to products and/or services may be obtained from a number of data sources. Additionally, information related to intellectual-property assets, such as patents, trademarks, copyrights, trade secrets, and know-how, may be obtained. In various situations, the intellectual-property assets may be mapped to respective products and/or services. The mappings between the products and/or services and intellectual-property assets may be used to provide intellectual property related services that correspond to the intellectual-property assets, such as valuation services, strategy-related services, or risk-related services.
    Type: Grant
    Filed: July 3, 2019
    Date of Patent: October 31, 2023
    Assignee: AON RISK SERVICES, INC. OF MARYLAND
    Inventors: Lewis C. Lee, Daniel Crouse, David Craig Andrews, Samuel Cameron Fleming
  • Patent number: 11776291
    Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.
    Type: Grant
    Filed: June 10, 2020
    Date of Patent: October 3, 2023
    Assignee: AON RISK SERVICES, INC. OF MARYLAND
    Inventors: Samuel Cameron Fleming, David Craig Andrews, John E. Bradley, III, Lewis C. Lee, Jared Dirk Sol, Timothy Seegan, Scott Buzan
  • Patent number: 11776079
    Abstract: Systems and methods for digital property authentication and management are disclosed. A document representing a trade secret may be requested to be registered with a trade secret registry. A document obfuscation value corresponding to the document may be generated and may be registered with a blockchain. A record of the registration may be generated for the trade secret registry. The registry may be searchable and/or offer functionality such as valuation, insurance provision, and/or verification, among other benefits and functionalities.
    Type: Grant
    Filed: November 22, 2021
    Date of Patent: October 3, 2023
    Assignee: AON RISK SERVICES, INC. OF MARYLAND
    Inventors: Lewis C. Lee, Daniel Crouse, David Craig Andrews, Samuel Cameron Fleming
  • Patent number: 11699203
    Abstract: Systems and methods for digital property authentication and management are disclosed. A document representing a trade secret may be requested to be registered with a trade secret registry. A document obfuscation value corresponding to the document may be generated and may be registered with a blockchain. A record of the registration may be generated for the trade secret registry. The registry may be searchable and/or offer functionality such as valuation, insurance provision, and/or verification, among other benefits and functionalities.
    Type: Grant
    Filed: February 20, 2019
    Date of Patent: July 11, 2023
    Assignee: AON RISK SERVICES, INC. OF MARYLAND
    Inventors: Lewis C. Lee, Daniel Crouse, David Craig Andrews, Samuel Cameron Fleming, Samuel John Desmond, Lewis Brendan Lee
  • Publication number: 20230086106
    Abstract: Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.
    Type: Application
    Filed: September 17, 2021
    Publication date: March 23, 2023
    Inventor: David Craig Andrews
  • Publication number: 20230087206
    Abstract: Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.
    Type: Application
    Filed: September 17, 2021
    Publication date: March 23, 2023
    Inventors: Lewis C. Lee, Daniel Crouse, Adam Parish, David Craig Andrews