Patent search ap:("Palantir Technologies Inc.") AND inv:"Ben Regev" Page 1

1.

发明授权
Automated risk visualization using customer-centric data analysis 有权

公开(公告)号：US11769096B2

公开(公告)日：2023-09-26

申请号：US17568684

申请日：2022-01-04

Applicant: Palantir Technologies Inc.

Inventor： Alexander Maass , Ben Regev , Duncan Hoffman , Eugene Mak , Elise Norman , Elizabeth Patitucci , Yevhen Shevchuk , Harkirat Singh , Joshua Aschheim , Juan Jimenez Puig , Jorien Van Den Bergh , Kai Kamberger , Maciej Biskupiak , Marissa Miracolo , Matthew Julius Wilson , Nicolas Prettejohn , Patrick Walter , Rootul Patel , Stephen Heitkamp , Richard Deitch

IPC: G06Q10/0635 , G06Q20/10

CPC classification number: G06Q10/0635 , G06Q20/10

Abstract: A customer risk trigger associated with a customer may be identified. A response to the customer risk trigger may be detected. First risk analysis data related to the customer risk trigger may be gathered, based on the response, from a first datastore. Second risk analysis data related to the customer risk trigger may be gathered, based on the response, from a second datastore. A customer risk profile to model risk attribute(s) of the customer may be gathered. The risk attributes may represent a risk correlation between the customer and a prohibited act. Customer risk visualization tool(s) configured to facilitate visual user interaction with the customer risk profile may be gathered. The customer risk visualization tools may be rendered in a display of the computing system. The customer risk visualization tools provide a customer-centric view of risk for various applications, including anti-money laundering applications.

2.

发明申请
AUTOMATED RISK VISUALIZATION USING CUSTOMER-CENTRIC DATA ANALYSIS 有权

公开(公告)号：US20220129806A1

公开(公告)日：2022-04-28

申请号：US17568684

申请日：2022-01-04

Applicant: Palantir Technologies Inc.

Inventor： Alexander Maass , Ben Regev , Duncan Hoffman , Eugene Mak , Elise Norman , Elizabeth Patitucci , Yevhen Shevchuk , Harkirat Singh , Joshua Aschheim , Juan Jimenez Puig , Jorien Van Den Bergh , Kai Kamberger , Maciej Biskupiak , Marissa Miracolo , Matthew Julius Wilson , Nicolas Prettejohn , Patrick Walter , Rootul Patel , Stephen Heitkamp , Richard Deitch

IPC: G06Q10/06 , G06Q20/10

Abstract: A customer risk trigger associated with a customer may be identified. A response to the customer risk trigger may be detected. First risk analysis data related to the customer risk trigger may be gathered, based on the response, from a first datastore. Second risk analysis data related to the customer risk trigger may be gathered, based on the response, from a second datastore. A customer risk profile to model risk attribute(s) of the customer may be gathered. The risk attributes may represent a risk correlation between the customer and a prohibited act. Customer risk visualization tool(s) configured to facilitate visual user interaction with the customer risk profile may be gathered. The customer risk visualization tools may be rendered in a display of the computing system. The customer risk visualization tools provide a customer-centric view of risk for various applications, including anti-money laundering applications.

3.

外观设计
Display screen or portion thereof with graphical user interface 有权

公开(公告)号：USD993280S1

公开(公告)日：2023-07-25

申请号：US29810456

申请日：2021-10-05

Applicant: Palantir Technologies Inc.

Designer： Ben Regev , Alexander Maass , Eugene Mak , Jorien van den Bergh , Juan Jimenez Puig , Maciej Biskupiak , Marissa Miracolo , Matthew Wilson , Richard Deitch , Stephen Heitkamp

Abstract: The FIGURE is a front view of a display screen or portion thereof with graphical user interface showing our new design.
The outer perimeter shown in dashed broken lines in the FIGURE illustrates a display screen or portion thereof and forms no part of the claimed design. The remaining dashed broken lines in the FIGURE illustrate portions of the graphical user interface that form no part of the claimed design.

4.

外观设计
Display screen or portion thereof with graphical user interface 有权

公开(公告)号：USD932508S1

公开(公告)日：2021-10-05

申请号：US29735211

申请日：2020-05-19

Applicant: Palantir Technologies Inc.

Designer： Ben Regev , Alexander Maass , Eugene Mak , Jorien van den Bergh , Juan Jimenez Puig , Maciej Biskupiak , Marissa Miracolo , Matthew Wilson , Richard Deitch , Stephen Heitkamp

5.

发明授权
Automated risk visualization using customer-centric data analysis 有权

公开(公告)号：US11216762B1

公开(公告)日：2022-01-04

申请号：US15684507

申请日：2017-08-23

Applicant: Palantir Technologies Inc.

Inventor： Alexander Maass , Ben Regev , Duncan Hoffman , Eugene Mak , Elise Norman , Elizabeth Patitucci , Yevhen Shevchuk , Harkirat Singh , Joshua Aschheim , Juan Jimenez Puig , Jorien Van Den Bergh , Kai Kamberger , Maciej Biskupiak , Marissa Miracolo , Matthew Julius Wilson , Nicolas Prettejohn , Patrick Walter , Rootul Patel , Stephen Heitkamp , Richard Deitch

IPC: G06Q10/06 , G06Q20/10

Abstract: A customer risk trigger associated with a customer may be identified. A response to the customer risk trigger may be detected. First risk analysis data related to the customer risk trigger may be gathered, based on the response, from a first datastore. Second risk analysis data related to the customer risk trigger may be gathered, based on the response, from a second datastore. A customer risk profile to model risk attribute(s) of the customer may be gathered. The risk attributes may represent a risk correlation between the customer and a prohibited act. Customer risk visualization tool(s) configured to facilitate visual user interaction with the customer risk profile may be gathered. The customer risk visualization tools may be rendered in a display of the computing system. The customer risk visualization tools provide a customer-centric view of risk for various applications, including anti-money laundering applications.