The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 14, 2025
Filed:
Oct. 13, 2017
Palantir Technologies Inc., Palo Alto, CA (US);
Helen Kaltegaertner, New York, NY (US);
Alexandru Antihi, Palo Alto, CA (US);
Adam Borochoff, New York, NY (US);
Benjamin Duffield, New York, NY (US);
Brandon Krieger, New York, NY (US);
Caitlin Colgrove, Palo Alto, CA (US);
Diran Li, New York, NY (US);
Gabrielle Javitt, New York, NY (US);
Gregory O'Connor, San Francisco, CA (US);
Mark Schafer, New York, NY (US);
Mark Elliot, New York, NY (US);
Maria Franco, Abu Dhabi, AE;
Matthew Lynch, Brooklyn, NY (US);
Matthew Sills, San Francisco, CA (US);
Nir Ackner, Palo Alto, CA (US);
Punyashloka Biswal, Norwalk, CT (US);
Phillip Chen, New York, NY (US);
Sander Kromwijk, New York, NY (US);
Shannon Scott, New York, NY (US);
Samuel Szuflita, New York, NY (US);
Stephanie Yu, New York, NY (US);
Walker Burgin, Seattle, WA (US);
Palantir Technologies Inc., Denver, CO (US);
Abstract
The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable data analysts to quickly and efficiently explore large volume data sources. The data analysis system enables the user to investigate large volumes of data over many different paths of analysis while maintaining detailed and retraceable steps taken by the user over the course of an investigation, as captured via the user's queries and user interaction with the user interfaces provided by the data analysis system. Data analysis paths may involve exploration of high volume data sets, such as Internet proxy data, which may include trillions of rows of data. The data analyst may pursue a data analysis path that involves, among other things, applying filters, joining to other tables in a database, viewing interactive data visualizations, and so on. The data analysis system enables a user to refresh or insert a node in a workflow. The data analysis system further provides data editing, reporting, enrichment, expression language, and charting functionality.