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.

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.

公开(公告)号：US20180173814A1

公开(公告)日：2018-06-21

申请号：US15856586

申请日：2017-12-28

Applicant: Palantir Technologies Inc.

Inventor： Satej Soman ,  Duncan Hoffman ,  Salar al Khafaji ,  Jakub Kowalik ,  Pedro Sanzovo ,  Gautam Punukollu

IPC: G06F17/30 ,  G06N7/00 ,  G06F3/0484 ,  G06T11/20

CPC classification number: G06F16/904 ,  G06F3/04842 ,  G06F16/26 ,  G06N7/005 ,  G06T11/206

Abstract: Computer-implemented systems and methods are disclosed for automatically aggregating, analyzing, and presenting probabilities associated with data items. Data items may be associated with probabilities or risks, and the data items may have various characteristics. A grouping of data items may be determined based on these characteristics, and probabilities within groups of data items may be aggregated and analyzed. Aggregated probabilities may be used to determine incremental probabilities for individual data items, to assess cumulative risk associated with a group of data items, and to analyze probabilities associated with a particular data item group. User interfaces may be generated to facilitate selection and grouping of data items, selection of risk models, and analysis of aggregate probabilities.

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.

公开(公告)号：US10691756B2

公开(公告)日：2020-06-23

申请号：US15856586

申请日：2017-12-28

Applicant: Palantir Technologies Inc.

Inventor： Satej Soman ,  Duncan Hoffman ,  Salar al Khafaji ,  Jakub Kowalik ,  Pedro Sanzovo ,  Gautam Punukollu

IPC: G06F16/904 ,  G06N7/00 ,  G06F3/0484 ,  G06F16/26 ,  G06T11/20

Abstract: Computer-implemented systems and methods are disclosed for automatically aggregating, analyzing, and presenting probabilities associated with data items. Data items may be associated with probabilities or risks, and the data items may have various characteristics. A grouping of data items may be determined based on these characteristics, and probabilities within groups of data items may be aggregated and analyzed. Aggregated probabilities may be used to determine incremental probabilities for individual data items, to assess cumulative risk associated with a group of data items, and to analyze probabilities associated with a particular data item group. User interfaces may be generated to facilitate selection and grouping of data items, selection of risk models, and analysis of aggregate probabilities.

公开(公告)号：US09886525B1

公开(公告)日：2018-02-06

申请号：US15381518

申请日：2016-12-16

Applicant: Palantir Technologies Inc.

Inventor： Satej Soman ,  Duncan Hoffman ,  Salar al Khafaji ,  Jakub Kowalik ,  Pedro Sanzovo ,  Gautam Punukollu

IPC: G06F17/30 ,  G06N7/00 ,  G06F3/0484 ,  G06T11/20

CPC classification number: G06F17/30994 ,  G06F3/04842 ,  G06F17/30572 ,  G06N7/005 ,  G06T11/206

Abstract: Computer-implemented systems and methods are disclosed for automatically aggregating, analyzing, and presenting probabilities associated with data items. Data items may be associated with probabilities or risks, and the data items may have various characteristics. A grouping of data items may be determined based on these characteristics, and probabilities within groups of data items may be aggregated and analyzed. Aggregated probabilities may be used to determine incremental probabilities for individual data items, to assess cumulative risk associated with a group of data items, and to analyze probabilities associated with a particular data item group. User interfaces may be generated to facilitate selection and grouping of data items, selection of risk models, and analysis of aggregate probabilities.