公开(公告)号：USD757028S1

公开(公告)日：2016-05-24

申请号：US29462363

申请日：2013-08-01

Applicant: Palantir Technologies, Inc.

Designer： Joshua Goldenberg ,  James Thompson

公开(公告)号：US09301103B1

公开(公告)日：2016-03-29

申请号：US14690905

申请日：2015-04-20

Applicant: Palantir Technologies Inc.

Inventor： James Thompson

IPC: G01C21/10 ,  H04W4/04 ,  H04W4/00 ,  G06F1/16 ,  G01C21/16 ,  H04W4/02

CPC classification number: H04W4/04 ,  G01C21/16 ,  G06F1/1632 ,  H04W4/02 ,  H04W4/021 ,  H04W4/80

Abstract: A system for retrieving information about a position of an inertial computing device (ICD) for use in an application, which includes a network of local positioning docks (PDs), each capable of docking an ICD by restricting three dimensions of a physical position of the ICD near one of the PDs; a database capable of storing information about the positions of the PDs within the network; a calculator capable of determining, based on a position of a positioning dock (PD), the position of the ICD; and an application programming interface (API) connected to the database and capable of outputting the position of a PD to the ICD.

公开(公告)号：US12229121B2

公开(公告)日：2025-02-18

申请号：US18486039

申请日：2023-10-12

Applicant: Palantir Technologies Inc.

Inventor： Jeppe Hallgren ,  Ammaar Reshi ,  James Thompson

IPC: G06F16/23 ,  G06F16/24 ,  G06F16/242 ,  G06F16/25

Abstract: A method of enabling propagated deletion in a distributed database system comprises receiving a request to delete data in a distributed database system; causing a display of a relevant dataset and a switch between applying propagated deletion or not; receiving a first selection of a subset of records from the relevant dataset using one or more filter functions and a second selection of applying propagated deletion to the subset of records; and applying propagated deletion to the subset of records to generate a new dataset.

公开(公告)号：US20230351287A1

公开(公告)日：2023-11-02

申请号：US18337332

申请日：2023-06-19

Applicant: Palantir Technologies Inc.

Inventor： James Thompson ,  Joseph Rafidi ,  Patrick Szmucer

IPC: G06Q10/0631 ,  G06F16/16 ,  G06F16/904 ,  G06F16/901 ,  G06F16/906 ,  G06N7/01

CPC classification number: G06Q10/06315 ,  G06F16/168 ,  G06F16/904 ,  G06F16/9024 ,  G06F16/906 ,  G06N7/01

Abstract: A resource dependency system and its associated user interfaces, used for tracking data dependencies and data transformations between resources, may display visual node graphs with resources as nodes and the data dependencies and data transformations associated with the columns as edges between the nodes. The nodes representing the resources may be displayed differently based on relevant differences in the resources they represent, which can be set through various selectable criteria and schemes. The user interfaces may include selectable options for visually arranging the nodes or grouping the nodes into superseding nodes according to how the nodes are displayed or the relevant differences in the resources they represent. Updated properties and data dependencies associated with superseding nodes can be presented to the user.

公开(公告)号：US20210385237A1

公开(公告)日：2021-12-09

申请号：US17445439

申请日：2021-08-19

Applicant: Palantir Technologies Inc.

Inventor： Alexander Visbal ,  James Thompson ,  Marvin Sum ,  Jason Ma ,  Bing Jie Fu ,  Ilya Nepomnyashchiy ,  Devin Witherspoon ,  Victoria Lai ,  Steven Berler ,  Alexei Smaliy ,  Suchan Lee

IPC: H04L29/06 ,  G06Q40/00 ,  G06F16/28 ,  G06F16/9038 ,  G06F16/2457 ,  G06F3/0482 ,  G06F3/0484 ,  G06Q40/02

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, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping 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 tiled display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation.

公开(公告)号：US10853454B2

公开(公告)日：2020-12-01

申请号：US15826284

申请日：2017-11-29

Applicant: Palantir Technologies Inc.

Inventor： Sam Fendell ,  James Thompson

IPC: G06Q40/00 ,  G06F19/00 ,  G06Q40/08 ,  G06Q50/24 ,  G06Q50/22 ,  G16H10/60

Abstract: Various systems and methods are provided that graphically allow health insurance company personnel to identify patient diagnoses that are not accounted for by the health insurance company. Furthermore, the various systems and methods graphically allow health insurance company personnel to identify patients that have not submitted claims for documented ailments or conditions. Thus, the health insurance company may be able to improve its chances of receiving transfer payments from other health insurance companies and/or receiving higher star ratings.

公开(公告)号：US10447712B2

公开(公告)日：2019-10-15

申请号：US15449042

申请日：2017-03-03

Applicant: Palantir Technologies Inc.

Inventor： Alexander Visbal ,  James Thompson ,  Marvin Sum ,  Jason Ma ,  Bing Jie Fu ,  Ilya Nepomnyashchiy ,  Devin Witherspoon ,  Victoria Lai ,  Steven Berler ,  Alexei Smaliy ,  Suchan Lee

IPC: G06Q40/00 ,  H04L29/06 ,  G06F16/28 ,  G06F16/9038 ,  G06F16/2457 ,  G06F3/0482 ,  G06F3/0484 ,  G06Q40/02 ,  G06F12/1036 ,  G06K9/62 ,  G06F16/34 ,  G06F21/55

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, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping 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 tiled display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation.

公开(公告)号：US10019431B2

公开(公告)日：2018-07-10

申请号：US15269534

申请日：2016-09-19

Applicant: PALANTIR TECHNOLOGIES INC.

Inventor： Jack Grossman ,  James Thompson

IPC: G06F17/30 ,  G06F17/24 ,  G06F3/0482 ,  G06F17/21

CPC classification number: G06F17/245 ,  G06F3/0482 ,  G06F16/221 ,  G06F16/2282 ,  G06F16/252 ,  G06F16/907 ,  G06F16/951 ,  G06F17/218

Abstract: Systems and methods are disclosed for active column filtering. In accordance with one implementation, a method is provided for active column filtering. The method includes providing a table having data values arranged in rows and columns, providing a first filter location indicator whose location is visually associated with a first column, and providing a first interface based on a selection of the first filter location indicator, wherein the first interface's location is visually associated with the first column. The method also includes acquiring a first filter input entered into the first interface, filtering the table based on the acquired first filter input, providing the filtered table for displaying, and providing an applied filter indicator, whose location is visually associated with the first column, the applied filter indicator including at least the first filter input.

公开(公告)号：US09965937B2

公开(公告)日：2018-05-08

申请号：US14473920

申请日：2014-08-29

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: H04L29/06 ,  G06F21/00 ,  G08B21/18 ,  G06F3/0484 ,  G06F21/56 ,  G06F17/30

CPC classification number: G08B21/18 ,  G06F3/04842 ,  H04L63/0281 ,  H04L63/1433 ,  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 analyzes (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：US09836580B2

公开(公告)日：2017-12-05

申请号：US14222364

申请日：2014-03-21

Applicant: Palantir Technologies, Inc.

Inventor： Sam Fendell ,  James Thompson

IPC: G06F19/00 ,  G06Q40/08 ,  G06Q50/24 ,  G06Q50/22

CPC classification number: G06F19/328 ,  G06F19/00 ,  G06Q40/08 ,  G06Q50/22 ,  G06Q50/24 ,  G16H10/60

Abstract: Various systems and methods are provided that graphically allow health insurance company personnel to identify patient diagnoses that are not accounted for by the health insurance company. Furthermore, the various systems and methods graphically allow health insurance company personnel to identify patients that have not submitted claims for documented ailments or conditions. Thus, the health insurance company may be able to improve its chances of receiving transfer payments from other health insurance companies and/or receiving higher star ratings.