公开(公告)号：USD1069833S1

公开(公告)日：2025-04-08

申请号：US29890562

申请日：2023-04-25

Applicant: Palantir Technologies Inc.

Designer： Adam Borochoff ,  Arthur Wu ,  Hao Zuo ,  Joseph Rafidi ,  Mark Elliot ,  Parvathy Menon ,  Ryan Rowe ,  Salar al Khafaji ,  Tyler Uhlenkamp

公开(公告)号：US12248515B2

公开(公告)日：2025-03-11

申请号：US18085150

申请日：2022-12-20

Applicant: Palantir Technologies Inc.

Inventor： Adam Borochoff ,  Joseph Rafidi ,  Parvathy Menon

IPC: G06F16/901 ,  G06F3/04847 ,  G06F9/50 ,  G06F16/16 ,  G06F16/17

Abstract: A resource dependency system displays two dynamically interactive interfaces in a resource dependency user interface, a hierarchical resource repository and a dependency graph user interface. User interactions on each interface can dynamically update either interface. For example, a selection of a particular resource in the dependency graph user interface causes the system to update the dependency graph user interface to indicate the selection and also updates the hierarchical resource repository to navigate to the appropriate folder corresponding to the stored location of the selected resource. In another example, a selection of a particular resource in the hierarchical resource repository causes the system to update the hierarchical resource repository to indicate the selection and also updates the dependency graph user interface to display an updated graph, indicate the selection and, in some embodiments, focus on the selected resource by zooming into a portion of the graph.

公开(公告)号：USD984468S1

公开(公告)日：2023-04-25

申请号：US29779680

申请日：2021-04-20

Applicant: Palantir Technologies Inc.

Designer： Adam Borochoff ,  Arthur Wu ,  Hao Zuo ,  Joseph Rafidi ,  Mark Elliot ,  Parvathy Menon ,  Ryan Rowe ,  Salar al Khafaji ,  Tyler Uhlenkamp

公开(公告)号：USD916789S1

公开(公告)日：2021-04-20

申请号：US29680134

申请日：2019-02-13

Applicant: Palantir Technologies Inc.

Designer： Adam Borochoff ,  Arthur Wu ,  Hao Zuo ,  Joseph Rafidi ,  Mark Elliot ,  Parvathy Menon ,  Ryan Rowe ,  Salar al Khafaji ,  Tyler Uhlenkamp

公开(公告)号：US10798116B2

公开(公告)日：2020-10-06

申请号：US15961431

申请日：2018-04-24

Applicant: Palantir Technologies Inc.

Inventor： David Cohen ,  Jason Ma ,  Bing Jie Fu ,  Ilya Nepomnyashchiy ,  Steven Berler ,  Alex Smaliy ,  Jack Grossman ,  James Thompson ,  Julia Boortz ,  Matthew Sprague ,  Parvathy Menon ,  Michael Kross ,  Michael Harris ,  Adam Borochoff

IPC: G06F21/00 ,  H04L29/06 ,  G06Q40/00 ,  G06F16/28 ,  G06F21/56 ,  H04L12/40

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.

公开(公告)号：US20200004805A1

公开(公告)日：2020-01-02

申请号：US16143054

申请日：2018-09-26

Applicant: Palantir Technologies Inc.

Inventor： Parvathy Menon ,  Adam Borochoff ,  Hao Zuo ,  Joseph Rafidi ,  Kamran Khan ,  Ryan Rowe ,  Salar Al Khafaji ,  Tyler Uhlenkamp

IPC: G06F17/21 ,  G06F3/0484 ,  G06F17/22

Abstract: Systems, methods, and non-transitory computer readable media are provided for providing parameterized states. Resource customization information may be obtained. The resource customization information may identify a resource and define a customized view of the resource. A parameterized state may be generated based on the resource customization information. Activation of the parameterized state may cause the customized view of the resource to be presented. An interface through which the parameterized state is accessible may be provided.

公开(公告)号：US20190158509A1

公开(公告)日：2019-05-23

申请号：US16239081

申请日：2019-01-03

Applicant: Palantir Technologies Inc.

Inventor： Harkirat Singh ,  Brendan Weickert ,  Matthew Sprague ,  Michael Kross ,  Adam Borochoff ,  Parvathy Menon ,  Michael Harris

IPC: H04L29/06 ,  G06Q20/38 ,  G06F16/28

Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. 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 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. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.

公开(公告)号：US10216801B2

公开(公告)日：2019-02-26

申请号：US14819272

申请日：2015-08-05

Applicant: Palantir Technologies Inc.

Inventor： Matthew Sprague ,  Michael Kross ,  Adam Borochoff ,  Parvathy Menon ,  Michael Harris

IPC: G06Q40/00 ,  G06F17/30 ,  G06Q20/40 ,  G06Q30/00 ,  G06Q40/02 ,  G06Q10/10

Abstract: Techniques are disclosed for for prioritizing a plurality of clusters. Prioritizing clusters may generally include identifying a scoring strategy for prioritizing the plurality of clusters. Each cluster is generated from a seed and stores a collection of data retrieved using the seed. For each cluster, elements of the collection of data stored by the cluster are evaluated according to the scoring strategy and a score is assigned to the cluster based on the evaluation. The clusters may be ranked according to the respective scores assigned to the plurality of clusters. The collection of data stored by each cluster may include financial data evaluated by the scoring strategy for a risk of fraud. The score assigned to each cluster may correspond to an amount at risk.

公开(公告)号：US20190026084A1

公开(公告)日：2019-01-24

申请号：US16135285

申请日：2018-09-19

Applicant: Palantir Technologies Inc.

Inventor： Mark Elliot ,  Punyashloka Biswal ,  Ankit Shankar ,  Omar Ali ,  John Chakerian ,  Ben Duffield ,  Adam Borochoff

IPC: G06F8/34 ,  G06T11/20 ,  G06F11/36 ,  G06F8/36 ,  G06F3/0481

Abstract: The programming notebook system, methods, and user interfaces described herein provide software developers with enhanced tools by which a programming notebook workflow and session history associated with code cells in a programming notebook may be tracked and maintained. As a developer progresses through a development workflow, the developer can select an option to save a program code card representing some or all of the program code cell inputs. A card editor user interface may present an aggregated listing of all program code the developer has provided across multiple code cells during the current session which the developer can edit, refine, and/or comment. The card editor may also allow the developer to add associated user interface code to display a UI component associated with the program code card, and allow the developer to add a description and tags for the card so that the card can be searched for and reused.

公开(公告)号：US09998485B2

公开(公告)日：2018-06-12

申请号：US14487021

申请日：2014-09-15

Applicant: Palantir Technologies Inc.

Inventor： David Cohen ,  Jason Ma ,  Bing Jie Fu ,  Ilya Nepomnyashchiy ,  Steven Berler ,  Alex Smaliy ,  Jack Grossman ,  James Thompson ,  Julia Boortz ,  Matthew Sprague ,  Parvathy Menon ,  Michael Kross ,  Michael Harris ,  Adam Borochoff

IPC: G06F21/00 ,  H04L29/06 ,  G06F17/30 ,  G06Q40/00 ,  G06F21/56

CPC classification number: H04L63/1425 ,  G06F17/30598 ,  G06Q40/12 ,  H04L63/1408 ,  H04L63/145

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.