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:
Sep. 30, 2025
Filed:
Jun. 03, 2024
Palantir Technologies Inc., Denver, CO (US);
Lawrence Manning, New York, NY (US);
Rahul Mehta, New York, NY (US);
Daniel Erenrich, Mountain View, CA (US);
Guillem Palou Visa, London, GB;
Roger Hu, New York, NY (US);
Xavier Falco, London, GB;
Rowan Gilmore, London, GB;
Eli Bingham, New York, NY (US);
Jason Prestinario, New York, NY (US);
Yifei Huang, Jersey City, NJ (US);
Daniel Fernandez, New York, NY (US);
Jeremy Elser, New York, NY (US);
Clayton Sader, San Francisco, CA (US);
Rahul Agarwal, San Francisco, CA (US);
Matthew Elkherj, Menlo Park, CA (US);
Nicholas Latourette, San Francisco, CA (US);
Aleksandr Zamoshchin, Aurora, CO (US);
Palantir Technologies Inc., Denver, CO (US);
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.