Palantir Technologies Inc.

Sarun Peter Tosirisuk

Peter Maag

Tom O'Brien

Phil Cross

Greg DeArment

Carl Freeland

Matthew Lynch

Maciej Albin

Phillip Worton-Cross

Saad Abdali

Various systems and methods are provided that allow reviewers to review and potentially flag processed communication data in order to spot potential malfeasance or illegal activity. Certain systems and methods includes modules for removing duplicate data from the communication data files, generating thread data for email data files, generating lexicon tag data for the data files, removing blacklisted data that meets blacklisted criteria, or generating group association data.

Communication data processing architecture

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.

Systems and user interfaces for dynamic and interactive investigation based on automatic malfeasance clustering of related data in various data structures

Growing community of inventors

Oakland, CA, United States of America

Sarun Peter Tosirisuk