Patents by Inventor Travis Adams

Travis Adams 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).

  • Publication number: 20240031177
    Abstract: The invention is directed towards an apparatus and method for generating an endpoint path associated with a user. A processor is configured to receiver user data relating to an action datum. The processor is configured to select an endpoint. The endpoint is then used to generate an endpoint path where a user's skills are taken into account. Once the user completes an endpoint, a token certificate is generated.
    Type: Application
    Filed: September 13, 2023
    Publication date: January 25, 2024
    Applicant: Gravystack, Inc.
    Inventors: Chad Willardson, Scott Donnell, Travis Adams
  • Publication number: 20240028655
    Abstract: An apparatus for goal generation is disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a goal datum related to a user, wherein the goal datum comprises behavioral parameters. The memory additionally instructs the processor to classify the goal datum to a user goal. The classification comprises training a goal classifier using a goal training data. Goal training data contains a plurality of data entries containing a plurality of goal datum inputs correlated to a plurality of goal outputs. The classification also comprises classifying the goal datum to the goal using the goal classifier. The classifier assigns the goal as a function of the classification. A goal path is generated as a function of the classification of the goal datum to a goal, wherein the goal path is divided into waypoints.
    Type: Application
    Filed: March 3, 2023
    Publication date: January 25, 2024
    Applicant: Gravystack, Inc.
    Inventors: Travis Adams, Chad Willardson, Scott Donnell
  • Publication number: 20240028951
    Abstract: An apparatus for producing a target strategy is disclosed. The apparatus comprises at least a processor and a memory communicatively connected to the at least a processor. The memory is configured to instruct the processor to receive a history datum. The memory also is configured to instruct the processor to identify a pattern datum using a quantitative field machine learning model. The quantitative field machine learning model is configured to train the quantitative field machine learning model using a quantitative field training data. The quantitative field machine learning model is also configured to identify the pattern datum as a function of the history datum. The memory then instructs the processor to generate a modified target as a function of the pattern datum.
    Type: Application
    Filed: July 25, 2022
    Publication date: January 25, 2024
    Applicant: Gravystack, Inc.
    Inventors: Chad Willardson, Scott Donnell, Travis Adams
  • Publication number: 20240028953
    Abstract: An apparatus and method for analyzing deficiencies is disclosed. The apparatus includes processor and a memory configuring the processor to receive a behavioral data set that includes behavioral patterns. The behavioral data set is used in machine-learning models to determine a deficiency and/or an objective.
    Type: Application
    Filed: July 25, 2022
    Publication date: January 25, 2024
    Inventors: Chad Willardson, Scott Donnell, Travis Adams
  • Publication number: 20240029187
    Abstract: An apparatus for task identification is disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a skill datum related to a user, wherein skill datum comprises a datum describing a current skill of the user. The memory additionally instructs the processor to generate a skill target as a function of the skill datum. The memory then instructs the processor to generate a pecuniary target of the user as a function of the skill target. The processor then identifies a posting as a function of the skill target. the pecuniary target using a posting machine learning model. The posting machine learning model comprises training the posting machine learning model using a posting training data. The memory then instructs the processor to display the posting using a graphical user interface.
    Type: Application
    Filed: July 25, 2022
    Publication date: January 25, 2024
    Applicant: Gravystack, Inc.
    Inventors: Chad Willardson, Scott Donnell, Travis Adams
  • Publication number: 20240029332
    Abstract: In an aspect, an apparatus for generating an augmented reality is presented. An apparatus includes at least a processor and a memory communicatively connected to the at least a processor. A memory includes instructions configuring at least a processor to receive optical data through a sensing device in electronic communication with at least a processor. At least a processor is configured to generate an augmented reality view through a display device as a function of optical data. An augmented reality view includes a virtual avatar. At least a processor is configured to analyze at least an environmental element of optical data. At least a processor is configured to compare at least an environmental element to a priority threshold. At least a processor is configured to display at least a message through a display device as a function of a comparison.
    Type: Application
    Filed: June 2, 2023
    Publication date: January 25, 2024
    Applicant: Gravystack, Inc.
    Inventors: Chad Willardson, Scott Donnell, Travis Adams
  • Publication number: 20240013456
    Abstract: Systems, methods, and computer-readable media are provided for graph data modeling. In accordance with one implementation, a method is provided that includes operations performed by at least one processor. The operations of the method include receiving raw data and determining a model for the raw data, wherein the model defines the graph structure for the raw data. The method also includes converting the raw data to fit the model, and generating at least a portion of a graph based on the raw data and the model, wherein the graph produces modeled data. The method also includes archiving the graph.
    Type: Application
    Filed: September 21, 2023
    Publication date: January 11, 2024
    Inventors: Travis Adam Walker, Mohammad Suhale MALANG KHADER
  • Patent number: 11861778
    Abstract: In an aspect, an apparatus for generating a virtual avatar is presented. An apparatus includes at least a processor and a memory communicatively connected to the at least a processor. At least a processor is configured to generate a virtual avatar model. A virtual avatar model includes a virtual entity and an operational model of the virtual entity. At least a processor is configured to receive user input. User input includes an avatar modifier. At least a processor is configured to modify at least a portion of a virtual avatar model as a function of an avatar modifier. At least a processor is configured to display a virtual avatar model to a user through a display device.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: January 2, 2024
    Inventors: Scott Donnell, Travis Adams, Chad Willardson
  • Patent number: 11823100
    Abstract: An apparatus and method for evaluating assignments. The processor receives assignment data generated by an inner circle member and inner circle data relating to the inner circle member. The processor determines a cohort for the inner circle member based on the inner circle data. The processor generates an action for the assignment based on the assignment and the cohort.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: November 21, 2023
    Assignee: Gravystack, Inc.
    Inventors: Travis Adams, Chad Willardson, Scott Donnell
  • Patent number: 11816729
    Abstract: An apparatus for producing an autonomy score is disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a pecuniary datum. The memory additionally instructs the processor to generate a pecuniary plan as a function of the pecuniary datum. The memory then instructs the processor to evaluate a pecuniary proficiency of a user as a function of the pecuniary plan. A pecuniary machine learning model is configured to be trained using a pecuniary training data. The pecuniary proficiency of a user is then evaluated as a function of the pecuniary plan. The memory then instructs the processor to produce an autonomy score as a function of the pecuniary proficiency. The memory finally instructs the processor to determine a pecuniary status of a user as a function of the pecuniary proficiency and the autonomy score.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: November 14, 2023
    Assignee: Gravystack, Inc.
    Inventors: Chad Willardson, Scott Donnell, Travis Adams
  • Patent number: 11798208
    Abstract: Systems, methods, and computer-readable media are provided for graph data modeling. In accordance with one implementation, a method is provided that includes operations performed by at least one processor. The operations of the method include receiving raw data and determining a model for the raw data, wherein the model defines the graph structure for the raw data. The method also includes converting the raw data to fit the model, and generating at least a portion of a graph based on the raw data and the model, wherein the graph produces modeled data. The method also includes archiving the graph.
    Type: Grant
    Filed: June 30, 2021
    Date of Patent: October 24, 2023
    Assignee: Yahoo Assets LLC
    Inventors: Travis Adam Walker, Mohammad Suhale Malang Khader
  • Patent number: 11790018
    Abstract: In an aspect, an apparatus for attribute traversal is presented. An apparatus includes at least a processor and a memory communicatively connected to the at least a processor. A memory contains instructions configuring at least a processor to receive user data. At least a processor configured to identify a plurality of attributes of user data. At least a processor is configured to calculate a proficiency score. At least a processor is configured to generate a utility function. At least a processor is configured to determine an attribute enhancement datum. At least a processor is configured to present an attribute enhancement datum to a user.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: October 17, 2023
    Assignee: Gravystack, Inc.
    Inventors: Scott Donnell, Travis Adams, Chad Willardson
  • Patent number: 11784833
    Abstract: The invention is directed towards an apparatus and method for generating an endpoint path associated with a user. A processor is configured to receiver user data relating to an action datum. The processor is configured to select an endpoint. The endpoint is then used to generate an endpoint path where a user's skills are taken into account. Once the user completes an endpoint, a token certificate is generated.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: October 10, 2023
    Assignee: Gravystack, Inc.
    Inventors: Chad Willardson, Scott Donnell, Travis Adams
  • Patent number: 11699256
    Abstract: In an aspect, an apparatus for generating an augmented reality is presented. An apparatus includes at least a processor and a memory communicatively connected to the at least a processor. A memory includes instructions configuring at least a processor to receive optical data through a sensing device in electronic communication with at least a processor. At least a processor is configured to generate an augmented reality view through a display device as a function of optical data. An augmented reality view includes a virtual avatar. At least a processor is configured to analyze at least an environmental element of optical data. At least a processor is configured to compare at least an environmental element to a priority threshold. At least a processor is configured to display at least a message through a display device as a function of a comparison.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: July 11, 2023
    Assignee: Gravystack, Inc.
    Inventors: Chad Willardson, Scott Donnell, Travis Adams
  • Patent number: 11671258
    Abstract: An apparatus and method for contingent assignment actions is disclosed. The apparatus includes a processor and a memory communicatively connected to the processor. The processor receives assignment data. An assignment is assigned to a user. The processor generates a contingent action. The processor receives a cryptographic proof. The cryptographic proof is validated. The contingent action is executed by the processor, conditionally, based on the validation of the cryptographic proof.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: June 6, 2023
    Assignee: Gravystack, Inc.
    Inventors: Chad Willardson, Scott Donnell, Travis Adams
  • Patent number: 11671249
    Abstract: An apparatus and method for generating an action-based collective associated with an action datum waypoint. A first action datum waypoint is completed and an indication of the completion of the assignment is submitted to a processor. The processor generates a subsequent action datum waypoint using machine-learning to analyze the completed action datum waypoint and any skills that are associated. A token certificate is generated that is associated with the completion of the action datum waypoint. The token certificate may be associated with the action datum identifier that completed the action datum waypoint.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: June 6, 2023
    Assignee: Gravystack, Inc.
    Inventors: Travis Adams, Chad Willardson, Scott Donnell
  • Patent number: 11664992
    Abstract: An apparatus and method for generating an NFT associated with an assignment. An assignment is completed and an indication of the completion of the assignment is submitted to a processor. The processor verifies the completion of the assignment by processing the submitted evidence of the completion of the assignment. An NFT is generated that is associated with the completion of the assignment. The NFT may be associated with the user that completed the assignment.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: May 30, 2023
    Assignee: Gravystack, Inc.
    Inventors: Travis Adams, Chad Willardson, Scott Donnell
  • Patent number: 11599592
    Abstract: An apparatus for goal generation is disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a goal datum related to a user, wherein the goal datum comprises behavioral parameters. The memory additionally instructs the processor to classify the goal datum to a user goal. The classification comprises training a goal classifier using a goal training data. Goal training data contains a plurality of data entries containing a plurality of goal datum inputs correlated to a plurality of goal outputs. The classification also comprises classifying the goal datum to the goal using the goal classifier. The classifier assigns the goal as a function of the classification. A goal path is generated as a function of the classification of the goal datum to a goal, wherein the goal path is divided into waypoints.
    Type: Grant
    Filed: July 25, 2022
    Date of Patent: March 7, 2023
    Assignee: Gravystack, Inc.
    Inventors: Travis Adams, Chad Willardson, Scott Donnell
  • Publication number: 20230042159
    Abstract: Methodologies and manufacturing processes to manufacture components by electron beam melting additive manufacturing, particularly components of molybdenum or a molybdenum-based alloy and particularly of complex nuclear component geometries. Input parameters are provided for controlling electron beam melting additive manufacturing equipment, such as electron beam melting machines. The input parameters relate to various process steps, including build set-up, initial thermal treatment, initial layering of powder, pre-consolidation thermal treatment, consolidation, post-consolidation thermal treatment, indexing of layers, and post-build thermal treatment. The methodologies and manufacturing processes allow manufacture of components of molybdenum having a purity of ?99.0% and a density of ?99.75%. Metallographic cross-sections of the manufactured molybdenum components were porosity-free and crack-free.
    Type: Application
    Filed: May 25, 2022
    Publication date: February 9, 2023
    Applicant: BWXT Nuclear Energy, Inc.
    Inventors: Andrew Harrison CHERN, Travis B. FRITTS, Daniel Walter GALICKI, Ryan Scott KITCHEN, Travis Adam MCFALLS, Elizabeth ELLIS
  • Publication number: 20210327110
    Abstract: Systems, methods, and computer-readable media are provided for graph data modeling. In accordance with one implementation, a method is provided that includes operations performed by at least one processor. The operations of the method include receiving raw data and determining a model for the raw data, wherein the model defines the graph structure for the raw data. The method also includes converting the raw data to fit the model, and generating at least a portion of a graph based on the raw data and the model, wherein the graph produces modeled data. The method also includes archiving the graph.
    Type: Application
    Filed: June 30, 2021
    Publication date: October 21, 2021
    Inventors: Travis Adam Walker, Mohammad Suhale MALANG KHADER