Patents by Inventor Jonathan KOLB

Jonathan KOLB 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).

  • GENERATIVE MODEL-BASED DYNAMIC CONTENT GENERATION
    Publication number: 20260320107
    Abstract: A system can include one or more processors to select a plurality of targets regarding a product based at least on performance data regarding the product. The performance data corresponds to completion of an event associated with the product. The system can identify a plurality of selected targets. The system can generate, using a model, content describing the product using the plurality of selected targets. The system can update the content on a destination system.
    Type: Application
    Filed: April 14, 2026
    Publication date: October 15, 2026
    Applicant: Teikametrics, Inc.
    Inventors: Alasdair MCLEAN-FOREMAN, Ryan GOLDSTEIN, Jonathan KOLB, David GLENN, Christopher ALLEN, Michael REISS, John Chandler WHITTIER, Cheng QIU
  • GENERATIVE MODEL-BASED DYNAMIC CONTENT GENERATION
    Publication number: 20260320360
    Abstract: A system can include one or more processors to select a plurality of targets regarding a product based at least on performance data regarding the product. The performance data corresponds to completion of an event associated with the product. The system can identify a plurality of selected targets. The system can generate, using a model, content describing the product using the plurality of selected targets. The system can update the content on a destination system.
    Type: Application
    Filed: April 14, 2026
    Publication date: October 15, 2026
    Applicant: Teikametrics, Inc.
    Inventors: Alasdair MCLEAN-FOREMAN, Ryan GOLDSTEIN, Jonathan KOLB, David GLENN, Christopher ALLEN, Michael REISS, John Chandler WHITTIER, Cheng QIU
  • GENERATIVE MODEL-BASED DYNAMIC CONTENT GENERATION
    Publication number: 20260320062
    Abstract: A system can include one or more processors to select a plurality of targets regarding a product based at least on performance data regarding the product. The performance data corresponds to completion of an event associated with the product. The system can identify a plurality of selected targets. The system can generate, using a model, content describing the product using the plurality of selected targets. The system can update the content on a destination system.
    Type: Application
    Filed: April 14, 2026
    Publication date: October 15, 2026
    Applicant: Teikametrics, Inc.
    Inventors: Alasdair MCLEAN-FOREMAN, Ryan GOLDSTEIN, Jonathan KOLB, David GLENN, Christopher ALLEN, Michael REISS, John Chandler WHITTIER, Cheng QIU
  • GENERATIVE MODEL-BASED DYNAMIC CONTENT GENERATION
    Publication number: 20260320074
    Abstract: A system can include one or more processors to select a plurality of targets regarding a product based at least on performance data regarding the product. The performance data corresponds to completion of an event associated with the product. The system can identify a plurality of selected targets. The system can generate, using a model, content describing the product using the plurality of selected targets. The system can update the content on a destination system.
    Type: Application
    Filed: April 14, 2026
    Publication date: October 15, 2026
    Applicant: Teikametrics, Inc.
    Inventors: Alasdair MCLEAN-FOREMAN, Ryan GOLDSTEIN, Jonathan KOLB, David GLENN, Christopher ALLEN, Michael REISS, John Chandler WHITTIER, Cheng QIU
  • GENERATIVE MODEL-BASED DYNAMIC CONTENT GENERATION
    Publication number: 20260320353
    Abstract: A system can include one or more processors to select a plurality of targets regarding a product based at least on performance data regarding the product. The performance data corresponds to completion of an event associated with the product. The system can identify a plurality of selected targets. The system can generate, using a model, content describing the product using the plurality of selected targets. The system can update the content on a destination system.
    Type: Application
    Filed: April 14, 2026
    Publication date: October 15, 2026
    Applicant: Teikametrics, Inc.
    Inventors: Alasdair MCLEAN-FOREMAN, Ryan GOLDSTEIN, Jonathan KOLB, David GLENN, Christopher ALLEN, Michael REISS, John Chandler WHITTIER, Cheng QIU
  • GENERATIVE MODEL-BASED DYNAMIC CONTENT GENERATION
    Publication number: 20260320075
    Abstract: A system can include one or more processors to select a plurality of targets regarding a product based at least on performance data regarding the product. The performance data corresponds to completion of an event associated with the product. The system can identify a plurality of selected targets. The system can generate, using a model, content describing the product using the plurality of selected targets. The system can update the content on a destination system.
    Type: Application
    Filed: April 14, 2026
    Publication date: October 15, 2026
    Applicant: Teikametrics, Inc.
    Inventors: Alasdair MCLEAN-FOREMAN, Ryan GOLDSTEIN, Jonathan KOLB, David GLENN, Christopher ALLEN, Michael REISS, John Chandler WHITTIER, Cheng QIU
  • GENERATIVE MODEL-BASED DYNAMIC CONTENT GENERATION
    Publication number: 20260320359
    Abstract: A system can include one or more processors to select a plurality of targets regarding a product based at least on performance data regarding the product. The performance data corresponds to completion of an event associated with the product. The system can identify a plurality of selected targets. The system can generate, using a model, content describing the product using the plurality of selected targets. The system can update the content on a destination system.
    Type: Application
    Filed: April 14, 2026
    Publication date: October 15, 2026
    Applicant: Teikametrics, Inc.
    Inventors: Alasdair MCLEAN-FOREMAN, Ryan GOLDSTEIN, Jonathan KOLB, David GLENN, Christopher ALLEN, Michael REISS, John Chandler WHITTIER, Cheng QIU