Patents by Inventor Phil Cross

Phil Cross 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).

  • Systems and user interfaces for dynamic and interactive investigation based on automatic malfeasance clustering of related data in various data structures
    Patent number: 10937034
    Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed to assist in detection of financial malfeasance. 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 (such as trades, emails or chat messages) 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, and the clusters may be displayed and ranked based on their scores. Various embodiments may enable an analyst to review clusters of trades, emails and/or chat messages that are the most likely to reveal financial malfeasance.
    Type: Grant
    Filed: March 8, 2019
    Date of Patent: March 2, 2021
    Assignee: Palantir Technologies Inc.
    Inventors: Peter Maag, Tom O'Brien, Phil Cross, Sarun Peter Tosirisuk
  • SYSTEMS AND USER INTERFACES FOR DYNAMIC AND INTERACTIVE INVESTIGATION BASED ON AUTOMATIC MALFEASANCE CLUSTERING OF RELATED DATA IN VARIOUS DATA STRUCTURES
    Publication number: 20190205897
    Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed to assist in detection of financial malfeasance. 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 (such as trades, emails or chat messages) 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, and the clusters may be displayed and ranked based on their scores. Various embodiments may enable an analyst to review clusters of trades, emails and/or chat messages that are the most likely to reveal financial malfeasance.
    Type: Application
    Filed: March 8, 2019
    Publication date: July 4, 2019
    Inventors: Peter Maag, Tom O'Brien, Phil Cross, Sarun Peter Tosirisuk
  • Systems and user interfaces for dynamic and interactive investigation based on automatic malfeasance clustering of related data in various data structures
    Patent number: 10275778
    Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed to assist in detection of financial malfeasance. 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 (such as trades, emails or chat messages) 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, and the clusters may be displayed and ranked based on their scores. Various embodiments may enable an analyst to review clusters of trades, emails and/or chat messages that are the most likely to reveal financial malfeasance.
    Type: Grant
    Filed: December 30, 2015
    Date of Patent: April 30, 2019
    Assignee: Palantir Technologies Inc.
    Inventors: Peter Maag, Tom O'Brien, Phil Cross, Sarun Peter Tosirisuk
  • Clustering data based on indications of financial malfeasance
    Patent number: 9230280
    Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed to assist in detection of financial malfeasance. 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 (such as trades, emails or chat messages) 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, and the clusters may be displayed and ranked based on their scores. Various embodiments may enable an analyst to review clusters of trades, emails and/or chat messages that are the most likely to reveal financial malfeasance.
    Type: Grant
    Filed: May 15, 2014
    Date of Patent: January 5, 2016
    Assignee: Palantir Technologies Inc.
    Inventors: Peter Maag, Tom O'Brien, Phil Cross, Suran Peter Tosirisuk