Patents Assigned to Domino Data Lab, Inc.
  • Patent number: 12147877
    Abstract: Improved systems and methods for improved management of models for data science can facilitate seamless collaboration of data science teams and integration of data science workflows. Systems and methods provided herein can provide an open, unified platform to build, validate, deliver, and monitor models at scale. Systems and methods of the present disclosure may accelerate research, spark collaboration, increase iteration speed, and remove deployment friction to deliver impactful models. In particular, users may be allowed to visualize statistics about models and monitor models in real-time via a graphical user interface provided by the systems.
    Type: Grant
    Filed: November 3, 2020
    Date of Patent: November 19, 2024
    Assignee: Domino Data Lab, Inc.
    Inventors: Nicholas Elprin, Christopher Yang, Madhavan Thirumalai
  • Patent number: 11763201
    Abstract: Improved systems and methods for improved management of models for data science can facilitate seamless collaboration of data science teams and integration of data science workflows. Systems and methods provided herein can provide an open, unified platform to build, validate, deliver, and monitor models at scale. Systems and methods of the present disclosure may accelerate research, spark collaboration, increase iteration speed, and remove deployment friction to deliver impactful models. In particular, users may be allowed to visualize statistics about models and monitor models in real-time via a graphical user interface provided by the systems.
    Type: Grant
    Filed: March 23, 2022
    Date of Patent: September 19, 2023
    Assignee: Domino Data Lab, Inc.
    Inventors: Nicholas Elprin, Christopher Yang, Madhavan Thirumalai
  • Patent number: 11315039
    Abstract: Improved systems and methods for improved management of models for data science can facilitate seamless collaboration of data science teams and integration of data science workflows. Systems and methods provided herein can provide an open, unified platform to build, validate, deliver, and monitor models at scale. Systems and methods of the present disclosure may accelerate research, spark collaboration, increase iteration speed, and remove deployment friction to deliver impactful models. In particular, users may be allowed to visualize statistics about models and monitor models in real-time via a graphical user interface provided by the systems.
    Type: Grant
    Filed: August 1, 2019
    Date of Patent: April 26, 2022
    Assignee: Domino Data Lab, Inc.
    Inventors: Nicholas Elprin, Christopher Yang, Madhavan Thirumalai