Patents by Inventor Parvathy Menon

Parvathy Menon 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: 20190166135
    Abstract: Techniques are disclosed for for prioritizing a plurality of clusters. Prioritizing clusters may generally include identifying a scoring strategy for prioritizing the plurality of clusters. Each cluster is generated from a seed and stores a collection of data retrieved using the seed. For each cluster, elements of the collection of data stored by the cluster are evaluated according to the scoring strategy and a score is assigned to the cluster based on the evaluation. The clusters may be ranked according to the respective scores assigned to the plurality of clusters. The collection of data stored by each cluster may include financial data evaluated by the scoring strategy for a risk of fraud. The score assigned to each cluster may correspond to an amount at risk.
    Type: Application
    Filed: January 15, 2019
    Publication date: May 30, 2019
    Inventors: Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
  • Publication number: 20190158509
    Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.
    Type: Application
    Filed: January 3, 2019
    Publication date: May 23, 2019
    Inventors: Harkirat Singh, Brendan Weickert, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
  • Publication number: 20190147114
    Abstract: Systems and methods are provided for creating and managing a data integration workspace. The workspace may comprise one or more views of data (or datasets) stored in or accessible by the system. Models may be generated and updated based on the plurality of datasets and presented via a graphical user interface. Feedback received via a graphical user interface presenting a model may be used to annotate an underlying dataset associated with the model. Responsive to a modification of the underlying dataset or the rules for using the underlying dataset to generate the model, other related datasets and/or models may be automatically updated accordingly. Templates associated with one or more types of users may be defined. Each template may comprise one or more specific models related to a specific type of user.
    Type: Application
    Filed: April 18, 2018
    Publication date: May 16, 2019
    Inventors: Matthew MacLean, Adam Borochoff, Joseph Rafidi, Matthew Jenny, Parvathy Menon, Ryan Rowe
  • Patent number: 10264014
    Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.
    Type: Grant
    Filed: October 30, 2015
    Date of Patent: April 16, 2019
    Assignee: PALANTIR TECHNOLOGIES INC.
    Inventors: Geoff Stowe, Harkirat Singh, Stefan Bach, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
  • Patent number: 10216801
    Abstract: Techniques are disclosed for for prioritizing a plurality of clusters. Prioritizing clusters may generally include identifying a scoring strategy for prioritizing the plurality of clusters. Each cluster is generated from a seed and stores a collection of data retrieved using the seed. For each cluster, elements of the collection of data stored by the cluster are evaluated according to the scoring strategy and a score is assigned to the cluster based on the evaluation. The clusters may be ranked according to the respective scores assigned to the plurality of clusters. The collection of data stored by each cluster may include financial data evaluated by the scoring strategy for a risk of fraud. The score assigned to each cluster may correspond to an amount at risk.
    Type: Grant
    Filed: August 5, 2015
    Date of Patent: February 26, 2019
    Assignee: PALANTIR TECHNOLOGIES INC.
    Inventors: Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
  • Publication number: 20190052648
    Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.
    Type: Application
    Filed: October 30, 2015
    Publication date: February 14, 2019
    Inventors: Geoff Stowe, Harkirat Singh, Stefan Bach, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
  • Publication number: 20190026258
    Abstract: Aspects of the present disclosure relate to systems and methods for receiving, managing, and displaying annotations on documents in real-time. A user (e.g., an author of a document) uploads a document into a real-time annotation system, which may then generate a composite presentation based on the uploaded document. The composite presentation includes all the content of the document presented in a specially configured graphical user interface to receive and manage annotations from a plurality of user devices.
    Type: Application
    Filed: July 26, 2018
    Publication date: January 24, 2019
    Inventors: Ayush Sood, Amrit Saxena, Parvathy Menon
  • Publication number: 20180341651
    Abstract: A computer-implemented system and method for data revision control in a large-scale data analytic systems. In one embodiment, for example, a computer-implemented method comprises the operations of storing a first version of a dataset that is derived by executing a first version of driver program associated with the dataset; and storing a first build catalog entry comprising an identifier of the first version of the dataset and comprising an identifier of the first version of the driver program.
    Type: Application
    Filed: June 26, 2018
    Publication date: November 29, 2018
    Inventors: Robert Fink, Lynn Cuthriell, Adam Anderson, Adam Borochoff, Catherine Lu, Joseph Rafidi, Karanveer Mohan, Matthew Jenny, Matthew Maclean, Michelle Guo, Parvathy Menon, Ryan Rowe
  • Publication number: 20180322175
    Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.
    Type: Application
    Filed: June 29, 2018
    Publication date: November 8, 2018
    Inventors: Feridun Arda Kara, Eli Bingham, John Garrod, Daniel Erenrich, Anirvan Mukherjee, Ted Mabrey, Andrew Ash, Zachary Bush, Allen Cai, Winnie Chai, Greg Cohan, Chris Dorsey, William Dwyer, Gilad Gray, Sean Kelley, Dennis Kwon, Chris Lewis, Greg Martin, Parvathy Menon, Brian Ngo, Asli Ozyar, Mike Reilly, Jacob Scott, Ankit Shankar, Matt Sills, Spencer Stamats, Geoff Stowe, Samir Talwar, Engin Ural, Patricio Jose Velez, Holt Wilkins, Diane Wu, Drausin Wulsin, Di Wu, Yu-hsin Joyce Chen, Baris Kaya
  • Patent number: 10089289
    Abstract: Aspects of the present disclosure relate to systems and methods for receiving, managing, and displaying annotations on documents in real-time. A user (e.g., an author of a document) uploads a document into a real-time annotation system, which may then generate a composite presentation based on the uploaded document. The composite presentation includes all the content of the document presented in a specially configured graphical user interface to receive and manage annotations from a plurality of user devices.
    Type: Grant
    Filed: February 23, 2016
    Date of Patent: October 2, 2018
    Assignee: Palantir Technologies Inc.
    Inventors: Ayush Sood, Amrit Saxena, Parvathy Menon
  • Publication number: 20180270264
    Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.
    Type: Application
    Filed: April 24, 2018
    Publication date: September 20, 2018
    Inventors: David Cohen, Jason Ma, Bing Jie Fu, Ilya Nepomnyashchiy, Steven Berler, Alex Smaliy, Jack Grossman, James Thompson, Julia Boortz, Matthew Sprague, Parvathy Menon, Michael Kross, Michael Harris, Adam Borochoff
  • Patent number: 10025834
    Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.
    Type: Grant
    Filed: June 16, 2014
    Date of Patent: July 17, 2018
    Assignee: Palantir Technologies Inc.
    Inventors: Feridun Arda Kara, Eli Bingham, John Garrod, Daniel Erenrich, Anirvan Mukherjee, Ted Mabrey, Andrew Ash, Zachary Bush, Allen Cai, Winnie Chai, Greg Cohan, Chris Dorsey, William Dwyer, Gilad Gray, Sean Kelley, Dennis Kwon, Chris Lewis, Greg Martin, Parvathy Menon, Brian Ngo, Asli Ozyar, Mike Reilly, Jacob Scott, Ankit Shankar, Matt Sills, Spencer Stamats, Geoff Stowe, Samir Talwar, Engin Ural, Patricio Jones Velez, Holt Wilkins, Diane Wu, Drausin Wulsin, Di Wu, Yu-Hsin Joyce Chen, Baris Kaya
  • Patent number: 10007674
    Abstract: A computer-implemented system and method for data revision control in a large-scale data analytic systems. In one embodiment, for example, a computer-implemented method comprises the operations of storing a first version of a dataset that is derived by executing a first version of driver program associated with the dataset; and storing a first build catalog entry comprising an identifier of the first version of the dataset and comprising an identifier of the first version of the driver program.
    Type: Grant
    Filed: September 12, 2016
    Date of Patent: June 26, 2018
    Assignee: Palantir Technologies Inc.
    Inventors: Robert Fink, Lynn Cuthriell, Adam Anderson, Adam Borochoff, Catherine Lu, Joseph Rafidi, Karanveer Mohan, Matthew Jenny, Matthew Maclean, Michelle Guo, Parvathy Menon, Ryan Rowe
  • Patent number: 9998485
    Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.
    Type: Grant
    Filed: September 15, 2014
    Date of Patent: June 12, 2018
    Assignee: PALANTIR TECHNOLOGIES, INC.
    Inventors: David Cohen, Jason Ma, Bing Jie Fu, Ilya Nepomnyashchiy, Steven Berler, Alex Smaliy, Jack Grossman, James Thompson, Julia Boortz, Matthew Sprague, Parvathy Menon, Michael Kross, Michael Harris, Adam Borochoff
  • Publication number: 20180150213
    Abstract: A context-sensitive viewing system is disclosed in which various data visualizations, also referred to a contextual views, of a common set of data may be viewed by a user on an electronic device. Data in the system may comprise data objects and associated properties and/or metadata, and may be stored in one or more electronic data stores. As a user of the system views and manipulates a first contextual view of a set of data objects, one or more other contextual views of the same set of data objects may be updated accordingly. Updates to the secondary contextual views may, in various embodiments, happen real-time. Further, the secondary contextual views may be visible to the user simultaneously with the primary contextual view. A user may switch from one view to another, and may manipulate data in any view, resulting in updates in the other views.
    Type: Application
    Filed: January 24, 2018
    Publication date: May 31, 2018
    Inventors: Joshua Goldenberg, Brian Ngo, Bill Dwyer, Parvathy Menon, Gregory Martin, Zach Bush, Allen Chang, Mike Boland
  • Patent number: 9965937
    Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyzes (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.
    Type: Grant
    Filed: August 29, 2014
    Date of Patent: May 8, 2018
    Assignee: Palantir Technologies Inc.
    Inventors: David Cohen, Jason Ma, Bing Jie Fu, Ilya Nepomnyashchiy, Steven Berler, Alex Smaliy, Jack Grossman, James Thompson, Julia Boortz, Matthew Sprague, Parvathy Menon, Michael Kross, Michael Harris, Adam Borochoff
  • Patent number: 9921734
    Abstract: A context-sensitive viewing system is disclosed in which various data visualizations, also referred to a contextual views, of a common set of data may be viewed by a user on an electronic device. Data in the system may comprise data objects and associated properties and/or metadata, and may be stored in one or more electronic data stores. As a user of the system views and manipulates a first contextual view of a set of data objects, one or more other contextual views of the same set of data objects may be updated accordingly. Updates to the secondary contextual views may, in various embodiments, happen real-time. Further, the secondary contextual views may be visible to the user simultaneously with the primary contextual view. A user may switch from one view to another, and may manipulate data in any view, resulting in updates in the other views.
    Type: Grant
    Filed: January 4, 2017
    Date of Patent: March 20, 2018
    Assignee: PALANTIR TECHNOLOGIES INC.
    Inventors: Joshua Goldenberg, Brian Ngo, Bill Dwyer, Parvathy Menon, Gregory Martin, Zach Bush, Allen Chang, Mike Boland
  • Patent number: 9734217
    Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes receiving a request with one or more filter selections and accessing a data structure comprising a plurality of categories of information showing interactions associated with multiple entities. The method also comprises identifying a set of categories of the plurality of categories within the data structure based on the one or more filter selections. The method further comprises processing the information of the identified categories to analyze a performance of one or more entities of the multiple entities in accordance with the one or more filter selections and providing the processed information to display the performance of the one or more entities on a user interface.
    Type: Grant
    Filed: June 16, 2014
    Date of Patent: August 15, 2017
    Assignee: PALANTIR TECHNOLOGIES INC.
    Inventors: Feridun Arda Kara, Eli Bingham, John Garrod, Daniel Erenrich, Anirvan Mukherjee, Ted Mabrey, Andrew Ash, Zachary Bush, Allen Cai, Winnie Chai, Greg Cohan, Chris Dorsey, William Dwyer, Gilad Gray, Sean Kelley, Dennis Kwon, Chris Lewis, Greg Martin, Parvathy Menon, Brian Ngo, Asli Ozyar, Mike Reilly, Jacob Scott, Ankit Shankar, Matt Sills, Spencer Stamats, Geoff Stowe, Samir Talwar, Engin Ural, P J Valez, Holt Wilkins, Diane Wu, Drausin Wulsin, Di Wu, Joyce Yu-Hsin Chen, Bar Kaya
  • Patent number: 9727622
    Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes accessing a data structure comprising a plurality of interactions associated with multiple entities. The method also includes evaluating one or more interactions of the plurality of interactions associated with a consuming entity of the multiple entities. The method further includes determining whether the one or more interactions associated with the consuming entity comprise an identified location information of the consuming entity.
    Type: Grant
    Filed: June 16, 2014
    Date of Patent: August 8, 2017
    Assignee: PALANTIR TECHNOLOGIES, INC.
    Inventors: Feridun Arda Kara, Eli Bingham, John Garrod, Daniel Erenrich, Anirvan Mukherjee, Ted Mabrey, Andrew Ash, Zachary Bush, Allen Cai, Winnie Chai, Greg Cohan, Chris Dorsey, William Dwyer, Gilad Gray, Sean Kelley, Dennis Kwon, Chris Lewis, Greg Martin, Parvathy Menon, Brian Ngo, Asli Ozyar, Mike Reilly, Jacob Scott, Ankit Shankar, Matt Sills, Spencer Stamats, Geoff Stowe, Samir Talwar, Engin Ural, PJ Valez, Holt Wilkins, Diane Wu, Drausin Wulsin, Di Wu, Joyce Yu-Hsin Chen, Bar Kaya
  • Publication number: 20170185575
    Abstract: Aspects of the present disclosure relate to systems and methods for receiving, managing, and displaying annotations on documents in real-time. A user (e.g., an author of a document) uploads a document into a real-time annotation system, which may then generate a composite presentation based on the uploaded document. The composite presentation includes all the content of the document presented in a specially configured graphical user interface to receive and manage annotations from a plurality of user devices.
    Type: Application
    Filed: February 23, 2016
    Publication date: June 29, 2017
    Inventors: Ayush Sood, Amrit Saxena, Parvathy Menon