Patents Assigned to Wyebot, Inc.
  • Patent number: 10609572
    Abstract: Computer-implemented methods and systems are disclosed for optimizing the performance of wireless networks by automatically capturing wireless traffic and other radio frequency (RF) signal data in the network and analyzing the data to identify network anomalies and to determine one or more solutions, without human intervention.
    Type: Grant
    Filed: May 10, 2017
    Date of Patent: March 31, 2020
    Assignee: Wyebot, Inc.
    Inventors: Anil Gupta, Roger D. Sands, Hien Nguyen, Louis E. Pereira, John S. Balian, David V. Baker
  • Patent number: 10575192
    Abstract: Computer-implemented methods and systems are disclosed for optimizing the performance of wireless networks by automatically capturing wireless traffic and other radio frequency (RF) signal data in the network and analyzing the data to identify network anomalies and to determine one or more solutions, without human intervention.
    Type: Grant
    Filed: May 10, 2017
    Date of Patent: February 25, 2020
    Assignee: Wyebot, Inc.
    Inventors: Anil Gupta, Hien Nguyen, Roger D. Sands, Louis E. Pereira, John S. Balian, David V. Baker
  • Publication number: 20170332256
    Abstract: Computer-implemented methods and systems are disclosed for optimizing the performance of wireless networks by automatically capturing wireless traffic and other radio frequency (RF) signal data in the network and analyzing the data to identify network anomalies and to determine one or more solutions, without human intervention.
    Type: Application
    Filed: May 10, 2017
    Publication date: November 16, 2017
    Applicant: Wyebot, Inc.
    Inventors: Anil Gupta, Roger D. Sands, Hien Nguyen, Louis E. Pereira, John S. Balian, David V. Baker
  • Publication number: 20170332255
    Abstract: Computer-implemented methods and systems are disclosed for optimizing the performance of wireless networks by automatically capturing wireless traffic and other radio frequency (RF) signal data in the network and analyzing the data to identify network anomalies and to determine one or more solutions, without human intervention.
    Type: Application
    Filed: May 10, 2017
    Publication date: November 16, 2017
    Applicant: Wyebot, Inc.
    Inventors: Anil Gupta, Hien Nguyen, Roger D. Sands, Louis E. Pereira, John S. Balian, David V. Baker