Patents by Inventor Eli Bingham

Eli Bingham 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: 20190384747
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Application
    Filed: August 22, 2019
    Publication date: December 19, 2019
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Patent number: 10423582
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Grant
    Filed: November 28, 2017
    Date of Patent: September 24, 2019
    Assignee: Palantir Technologies, Inc.
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Publication number: 20190079937
    Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.
    Type: Application
    Filed: November 13, 2018
    Publication date: March 14, 2019
    Inventors: Lawrence Manning, Rahul Mehta, Daniel Erenrich, Guillem Palou Visa, Roger Hu, Xavier Falco, Rowan Gilmore, Eli Bingham, Jason Prestinario, Yifei Huang, Daniel Fernandez, Jeremy Elser, Clayton Sader, Rahul Agarwal, Matthew Elkherj, Nicholas Latourette, Aleksandr Zamoshchin
  • Patent number: 10198515
    Abstract: According to certain aspects, a computer system may be configured to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources, each of which can include various types of data, including email data, system logon data, system logoff data, badge swipe data, employee data, job processing data, etc. associated with a plurality of individuals. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system can resolve the data from each of the plurality of data sources to unique individuals of the plurality of individuals. The system can also determine an efficiency indicator based at least in part on a comparison of individuals of the unique individuals that have at least one common characteristic.
    Type: Grant
    Filed: August 3, 2015
    Date of Patent: February 5, 2019
    Assignee: Palantir Technologies Inc.
    Inventors: Nicholas White, Eli Bingham, Engin Ural, Jasjit Grewal
  • Patent number: 10127289
    Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.
    Type: Grant
    Filed: August 10, 2016
    Date of Patent: November 13, 2018
    Assignee: Palantir Technologies Inc.
    Inventors: Lawrence Manning, Rahul Mehta, Daniel Erenrich, Guillem Palou Visa, Roger Hu, Xavier Falco, Rowan Gilmore, Eli Bingham, Jason Prestinario, Yifei Huang, Daniel Fernandez, Jeremy Elser, Clayton Sader, Rahul Agarwal, Matthew Elkherj, Nicholas Latourette, Aleksandr Zamoshchin
  • 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: 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
  • Publication number: 20180081896
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Application
    Filed: November 28, 2017
    Publication date: March 22, 2018
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Patent number: 9852144
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Grant
    Filed: March 1, 2017
    Date of Patent: December 26, 2017
    Assignee: Palantir Technologies, Inc.
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • 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: 20170177606
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Application
    Filed: March 1, 2017
    Publication date: June 22, 2017
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Patent number: 9639578
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Grant
    Filed: December 7, 2015
    Date of Patent: May 2, 2017
    Assignee: Palantir Technologies, Inc.
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Publication number: 20170052958
    Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.
    Type: Application
    Filed: August 10, 2016
    Publication date: February 23, 2017
    Inventors: Lawrence Manning, Rahul Mehta, Daniel Erenrich, Guillem Palou Visa, Roger Hu, Xavier Falco, Rowan Gilmore, Eli Bingham, Jason Prestinario, Yifei Huang, Daniel Fernandez, Jeremy Elser, Clayton Sader, Rahul Agarwal, Matthew Elkherj, Nicholas Latourette, Aleksandr Zamoshchin
  • Publication number: 20160085817
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Application
    Filed: December 7, 2015
    Publication date: March 24, 2016
    Inventors: GEOFFREY STOWE, CHRIS FISCHER, PAUL GEORGE, ELI BINGHAM, ROSCO HILL
  • Publication number: 20160055501
    Abstract: A system and method is provided for determining a cohort. In one implementation a method is provided that can include acquiring user inputs and identifying, based on the user inputs, a plurality of entities sharing one or more attributes with a first entity. The method can also include acquiring information including one or more interactions associated with the first entity and the plurality of entities and creating a cohort by processing the one or more interactions to select other entities associated with the first entity. Selecting the other entities can be based on a similarity between attributes of consuming entities that are associated with the first entity and the other entities; a similarity between location information associated with the first entity and the other entities; a market share of the first entity and the other entities; and a wallet share of the first entity and the other entities.
    Type: Application
    Filed: August 19, 2014
    Publication date: February 25, 2016
    Inventors: Anirvan MUKHERJEE, Daniel ERENRICH, Diane WU, Eli BINGHAM
  • Patent number: 9208159
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Grant
    Filed: August 4, 2014
    Date of Patent: December 8, 2015
    Assignee: PALANTIR TECHNOLOGIES, INC.
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Patent number: 9105000
    Abstract: According to certain aspects, a computer system may be configured to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources, each of which can include various types of data, including email data, system logon data, system logoff data, badge swipe data, employee data, job processing data, etc. associated with a plurality of individuals. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system can resolve the data from each of the plurality of data sources to unique individuals of the plurality of individuals. The system can also determine an efficiency indicator based at least in part on a comparison of individuals of the unique individuals that have at least one common characteristic.
    Type: Grant
    Filed: June 13, 2014
    Date of Patent: August 11, 2015
    Assignee: Palantir Technologies Inc.
    Inventors: Nicholas White, Eli Bingham, Engin Ural, Jasjit Grewal
  • Publication number: 20150169709
    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 16, 2014
    Publication date: June 18, 2015
    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: 20150169726
    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: Application
    Filed: June 16, 2014
    Publication date: June 18, 2015
    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