Patents by Inventor Luis Capelo

Luis Capelo 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).

  • SYSTEM AND METHOD FOR MODEL ORCHESTRATION
    Publication number: 20260064302
    Abstract: A system for large-scale machine learning experiment execution, including: a platform configured to determine an experiment set from a run specification and schedule a run to one or more clusters; and a set of agents configured to receive the experiment set from the platform and facilitate individual experiment execution through a cluster orchestrator.
    Type: Application
    Filed: November 7, 2025
    Publication date: March 5, 2026
    Applicant: Grid.ai, Inc.
    Inventors: Luis Capelo, Williams Falcon, Karolis Rusenas, Luca Antiga, Neven Miculinic
  • System and method for model orchestration
    Patent number: 12530145
    Abstract: A system for large-scale machine learning experiment execution, including: a platform configured to determine an experiment set from a run specification and schedule a run to one or more clusters; and a set of agents configured to receive the experiment set from the platform and facilitate individual experiment execution through a cluster orchestrator.
    Type: Grant
    Filed: June 6, 2022
    Date of Patent: January 20, 2026
    Assignee: Grid.ai, Inc.
    Inventors: Luis Capelo, Williams Falcon, Karolis Rusenas, Luca Antiga, Neven Miculinic
  • SYSTEM AND METHOD FOR HETEROGENEOUS MODEL COMPOSITION
    Publication number: 20240256980
    Abstract: A method for standardized model interaction can include: determining a model composition, receiving an input, converting the input into a standard object, converting the standard input object into a model-specific input (MSI) object, executing the model using the MSI object, converting the output from the model-specific output (MSO) object to a standard object, repeating previous steps for each successive model within the model composition, and providing a final model output.
    Type: Application
    Filed: April 11, 2024
    Publication date: August 1, 2024
    Applicant: Grid.ai, Inc.
    Inventors: Luis Capelo, Richard Izzo
  • System and method for heterogeneous model composition
    Patent number: 11983614
    Abstract: A method for standardized model interaction can include: determining a model composition, receiving an input, converting the input into a standard object, converting the standard input object into a model-specific input (MSI) object, executing the model using the MSI object, converting the output from the model-specific output (MSO) object to a standard object, repeating previous steps for each successive model within the model composition, and providing a final model output.
    Type: Grant
    Filed: May 19, 2022
    Date of Patent: May 14, 2024
    Assignee: Grid.ai, Inc.
    Inventors: Luis Capelo, Richard Izzo
  • SYSTEM AND METHOD FOR MODEL ORCHESTRATION
    Publication number: 20220308777
    Abstract: A system for large-scale machine learning experiment execution, including: a platform configured to determine an experiment set from a run specification and schedule a run to one or more clusters; and a set of agents configured to receive the experiment set from the platform and facilitate individual experiment execution through a cluster orchestrator.
    Type: Application
    Filed: June 6, 2022
    Publication date: September 29, 2022
    Inventors: Luis Capelo, Williams Falcon, Karolis Rusenas, Luca Antiga, Neven Miculinic
  • SYSTEM AND METHOD FOR HETEROGENEOUS MODEL COMPOSITION
    Publication number: 20220277230
    Abstract: A method for standardized model interaction can include: determining a model composition, receiving an input, converting the input into a standard object, converting the standard input object into a model-specific input (MSI) object, executing the model using the MSI object, converting the output from the model-specific output (MSO) object to a standard object, repeating previous steps for each successive model within the model composition, and providing a final model output.
    Type: Application
    Filed: May 19, 2022
    Publication date: September 1, 2022
    Inventors: Luis Capelo, Richard Izzo
  • System and method for model training orchestration
    Patent number: 11379140
    Abstract: A system for large-scale machine learning experiment execution, including: a platform configured to determine an experiment set from a run specification and schedule a run to one or more clusters; and a set of agents configured to receive the experiment set from the platform and facilitate individual experiment execution through a cluster orchestrator.
    Type: Grant
    Filed: October 5, 2021
    Date of Patent: July 5, 2022
    Assignee: Grid.ai, Inc.
    Inventors: Luis Capelo, Williams Falcon, Karolis Rusenas, Luca Antiga, Neven Miculinic
  • System and method for heterogeneous model composition
    Patent number: 11367021
    Abstract: A method for standardized model interaction can include: determining a model composition, receiving an input, converting the input into a standard object, converting the standard input object into a model-specific input (MSI) object, executing the model using the MSI object, converting the output from the model-specific output (MSO) object to a standard object, repeating previous steps for each successive model within the model composition, and providing a final model output.
    Type: Grant
    Filed: October 5, 2021
    Date of Patent: June 21, 2022
    Assignee: Grid.ai, Inc.
    Inventors: Luis Capelo, Richard Izzo
  • SYSTEM AND METHOD FOR TRAINING ORCHESTRATION
    Publication number: 20220107744
    Abstract: A system for large-scale machine learning experiment execution, including: a platform configured to determine an experiment set from a run specification and schedule a run to one or more clusters; and a set of agents configured to receive the experiment set from the platform and facilitate individual experiment execution through a cluster orchestrator.
    Type: Application
    Filed: October 5, 2021
    Publication date: April 7, 2022
    Inventors: Luis Capelo, Williams Falcon, Karolis Rusenas, Luca Antiga, Neven Miculinic
  • SYSTEM AND METHOD FOR HETEROGENEOUS MODEL COMPOSITION
    Publication number: 20220108223
    Abstract: A method for standardized model interaction can include: determining a model composition, receiving an input, converting the input into a standard object, converting the standard input object into a model-specific input (MSI) object, executing the model using the MSI object, converting the output from the model-specific output (MSO) object to a standard object, repeating previous steps for each successive model within the model composition, and providing a final model output.
    Type: Application
    Filed: October 5, 2021
    Publication date: April 7, 2022
    Inventors: Luis Capelo, Richard Izzo