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).
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Patent number: 10545655Abstract: 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: GrantFiled: January 24, 2018Date of Patent: January 28, 2020Assignee: Palantir Technologies Inc.Inventors: Joshua Goldenberg, Brian Ngo, Bill Dwyer, Parvathy Menon, Gregory Martin, Zach Bush, Allen Chang, Mike Boland
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Publication number: 20200004805Abstract: Systems, methods, and non-transitory computer readable media are provided for providing parameterized states. Resource customization information may be obtained. The resource customization information may identify a resource and define a customized view of the resource. A parameterized state may be generated based on the resource customization information. Activation of the parameterized state may cause the customized view of the resource to be presented. An interface through which the parameterized state is accessible may be provided.Type: ApplicationFiled: September 26, 2018Publication date: January 2, 2020Inventors: Parvathy Menon, Adam Borochoff, Hao Zuo, Joseph Rafidi, Kamran Khan, Ryan Rowe, Salar Al Khafaji, Tyler Uhlenkamp
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Publication number: 20190324989Abstract: A resource dependency system displays two dynamically interactive interfaces in a resource dependency user interface, a hierarchical resource repository and a dependency graph user interface. User interactions on each interface can dynamically update either interface. For example, a selection of a particular resource in the dependency graph user interface causes the system to update the dependency graph user interface to indicate the selection and also updates the hierarchical resource repository to navigate to the appropriate folder corresponding to the stored location of the selected resource. In another example, a selection of a particular resource in the hierarchical resource repository causes the system to update the hierarchical resource repository to indicate the selection and also updates the dependency graph user interface to display an updated graph, indicate the selection and, in some embodiments, focus on the selected resource by zooming into a portion of the graph.Type: ApplicationFiled: February 14, 2019Publication date: October 24, 2019Inventors: Adam Borochoff, Joseph Rafidi, Parvathy Menon
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Publication number: 20190302981Abstract: Systems and methods are provided for improved graphical user interfaces. The system enables multiple separate applications, each of which may typically be in their own separate window or tab, to be interacted within a single window, such as a tab of a web browser application. The main window includes smaller sub-windows that can correspond to a distinct application with its own graphical user interface. A large sub-window within the main window is opened for the primary application where the user is currently interacting with a graphical user interface of the primary application. The user then is able to switch between applications (all within the same main window) and applications that are no longer being used can be minimized in smaller sub-windows off to the side of the primary sub-window. The system enables a user to drag and drop an item from one sub-window to another sub-window. Some of the interactions between the windows and data transformations are stored and can be visually presented in a graph.Type: ApplicationFiled: January 11, 2019Publication date: October 3, 2019Inventors: Adam Storr, Aditya Dahiya, Andrew Elder, Daniel Cervelli, Joseph Rafidi, Matthew Bango, Parvathy Menon, Roger Chen, Timothy Slatcher, Walker Burgin
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Publication number: 20190166135Abstract: 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: ApplicationFiled: January 15, 2019Publication date: May 30, 2019Inventors: Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
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Publication number: 20190158509Abstract: 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: ApplicationFiled: January 3, 2019Publication date: May 23, 2019Inventors: Harkirat Singh, Brendan Weickert, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
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Publication number: 20190147114Abstract: 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: ApplicationFiled: April 18, 2018Publication date: May 16, 2019Inventors: Matthew MacLean, Adam Borochoff, Joseph Rafidi, Matthew Jenny, Parvathy Menon, Ryan Rowe
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Patent number: 10264014Abstract: 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: GrantFiled: October 30, 2015Date of Patent: April 16, 2019Assignee: PALANTIR TECHNOLOGIES INC.Inventors: Geoff Stowe, Harkirat Singh, Stefan Bach, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
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Patent number: 10216801Abstract: 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: GrantFiled: August 5, 2015Date of Patent: February 26, 2019Assignee: PALANTIR TECHNOLOGIES INC.Inventors: Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
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Publication number: 20190052648Abstract: 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: ApplicationFiled: October 30, 2015Publication date: February 14, 2019Inventors: Geoff Stowe, Harkirat Singh, Stefan Bach, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
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Publication number: 20190026258Abstract: 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: ApplicationFiled: July 26, 2018Publication date: January 24, 2019Inventors: Ayush Sood, Amrit Saxena, Parvathy Menon
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Publication number: 20180341651Abstract: 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: ApplicationFiled: June 26, 2018Publication date: November 29, 2018Inventors: Robert Fink, Lynn Cuthriell, Adam Anderson, Adam Borochoff, Catherine Lu, Joseph Rafidi, Karanveer Mohan, Matthew Jenny, Matthew Maclean, Michelle Guo, Parvathy Menon, Ryan Rowe
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Publication number: 20180322175Abstract: 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: ApplicationFiled: June 29, 2018Publication date: November 8, 2018Inventors: 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
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Patent number: 10089289Abstract: 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: GrantFiled: February 23, 2016Date of Patent: October 2, 2018Assignee: Palantir Technologies Inc.Inventors: Ayush Sood, Amrit Saxena, Parvathy Menon
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Publication number: 20180270264Abstract: 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: ApplicationFiled: April 24, 2018Publication date: September 20, 2018Inventors: 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
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Patent number: 10025834Abstract: 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: GrantFiled: June 16, 2014Date of Patent: July 17, 2018Assignee: 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
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Patent number: 10007674Abstract: 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: GrantFiled: September 12, 2016Date of Patent: June 26, 2018Assignee: 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
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Patent number: 9998485Abstract: 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: GrantFiled: September 15, 2014Date of Patent: June 12, 2018Assignee: 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
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Publication number: 20180150213Abstract: 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: ApplicationFiled: January 24, 2018Publication date: May 31, 2018Inventors: Joshua Goldenberg, Brian Ngo, Bill Dwyer, Parvathy Menon, Gregory Martin, Zach Bush, Allen Chang, Mike Boland
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Patent number: 9965937Abstract: 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: GrantFiled: August 29, 2014Date of Patent: May 8, 2018Assignee: 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