公开(公告)号：US20180292959A1

公开(公告)日：2018-10-11

申请号：US16003468

申请日：2018-06-08

Applicant: Palantir Technologies Inc.

Inventor： Daniel Erenrich ,  Anirvan Mukherjee ,  William Dwyer

IPC: G06F3/0484 ,  G06Q10/06 ,  G06F17/22

Abstract: Systems and methods are provided for analyzing entity performance. In accordance with one implementation, a method is provided that includes receiving data associated with a geographic region and transforming the received data into an object model. The method also includes analyzing the object model to associate the received data with a plurality of entities and to associate the received data with a plurality of sub-geographic regions of the geographic region. The method also includes applying a prediction model to the plurality of sub-geographic regions using the object model to determine a predicted performance for at least one entity of the plurality of entities. Further, the method includes determining actual performance for the at least one entity and providing a user interface that includes information associated with the predicted performance, the actual performance, or a combination of the predicted performance and the actual performance.

公开(公告)号：US10025834B2

公开(公告)日：2018-07-17

申请号：US14306147

申请日：2014-06-16

Applicant: PALANTIR TECHNOLOGIES INC.

Inventor： Feridun Arda Kara ,  Eli Bingham ,  John Garrod ,  Daniel Erenrich ,  Anirvan Mukherjee ,  Ted Mabrey ,  Andrew Ash ,  Zachary Bush ,  Allen Cai ,  Winnie Chai ,  Greg Cohan ,  Chris Dorsey ,  William Dwyer ,  Gilad Gray ,  Sean Kelley ,  Dennis Kwon ,  Chris Lewis ,  Greg Martin ,  Parvathy Menon ,  Brian Ngo ,  Asli Ozyar ,  Mike Reilly ,  Jacob Scott ,  Ankit Shankar ,  Matt Sills ,  Spencer Stamats ,  Geoff Stowe ,  Samir Talwar ,  Engin Ural ,  Patricio Jones Velez ,  Holt Wilkins ,  Diane Wu ,  Drausin Wulsin ,  Di Wu ,  Yu-Hsin Joyce Chen ,  Baris Kaya

IPC: G06F17/30 ,  G06Q10/06

CPC classification number: G06F16/248 ,  G06F16/26 ,  G06F16/285 ,  G06Q10/0639

Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.

公开(公告)号：US12174800B2

公开(公告)日：2024-12-24

申请号：US18415253

申请日：2024-01-17

Applicant: Palantir Technologies Inc.

Inventor： David Lisuk ,  Daniel Erenrich ,  Guodong Xu ,  Luis Voloch ,  Rahul Agarwal ,  Simon Slowik ,  Aleksandr Zamoshchin ,  Andre Frederico Cavalheiro Menck ,  Anirvan Mukherjee ,  Daniel Chin

IPC: G06F16/00 ,  G06F16/13 ,  G06F16/18 ,  G06F16/188 ,  G06F30/00 ,  G06N7/00 ,  G06F111/20

Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.

公开(公告)号：US20240354322A1

公开(公告)日：2024-10-24

申请号：US18632900

申请日：2024-04-11

Applicant: Palantir Technologies Inc.

Inventor： Anirvan Mukherjee ,  Craig De Souza ,  Edgar Gomes de Araujo ,  Johannes Beil ,  Jessica Winssinger ,  Michael Zullo ,  Rushad Heerjee ,  Shubhankar Sachdev

IPC: G06F16/33 ,  G06F18/2415

CPC classification number: G06F16/3344 ,  G06F18/2415

Abstract: Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for generating data objects and/or updating an ontology. A computer-implemented method may include: employing one or more large language models (“LLMs”) to generate at least a data triple and a classified triple; executing, using the classified triple, a similarity search with reference to an ontology to determine that the classified triple at least partially matches one or more data object types defined in the ontology; in response to the determination, adding into a first database at least a first data object of a first data object type that represents a first entity in the data triple and a second data object of a second data object type that represents a second entity in the data triple.

公开(公告)号：US11526471B2

公开(公告)日：2022-12-13

申请号：US17093381

申请日：2020-11-09

Applicant: Palantir Technologies Inc.

Inventor： David Lisuk ,  Daniel Erenrich ,  Guodong Xu ,  Luis Voloch ,  Rahul Agarwal ,  Simon Slowik ,  Aleksandr Zamoshchin ,  Andre Frederico Cavalheiro Menck ,  Anirvan Mukherjee ,  Daniel Chin

IPC: G06F16/00 ,  G06F16/18 ,  G06N7/00 ,  G06F16/13 ,  G06F16/188 ,  G06F30/00 ,  G06F111/20

Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.

公开(公告)号：US08938686B1

公开(公告)日：2015-01-20

申请号：US14045720

申请日：2013-10-03

Applicant: Palantir Technologies, Inc.

Inventor： Daniel Erenrich ,  Anirvan Mukherjee ,  William Dwyer

IPC: G06F3/048 ,  G06F3/0484

CPC classification number: G06F3/0484 ,  G06F17/2247 ,  G06Q10/0639 ,  G06Q10/06395

Abstract: Systems and methods are provided for analyzing entity performance. In accordance with one implementation, a method is provided that includes receiving data associated with a geographic region and transforming the received data into an object model. The method also includes analyzing the object model to associate the received data with a plurality of entities and to associate the received data with a plurality of sub-geographic regions of the geographic region. The method also includes applying a prediction model to the plurality of sub-geographic regions using the object model to determine a predicted performance for at least one entity of the plurality of entities. Further, the method includes determining actual performance for the at least one entity and providing a user interface that includes information associated with the predicted performance, the actual performance, or a combination of the predicted performance and the actual performance.

Abstract translation: 提供系统和方法用于分析实体性能。 根据一个实现，提供了一种方法，其包括接收与地理区域相关联的数据并将接收的数据变换成对象模型。 该方法还包括分析对象模型以将接收到的数据与多个实体相关联，并将接收到的数据与地理区域的多个子地理区域相关联。 该方法还包括使用对象模型将预测模型应用于多个子地理区域，以确定多个实体中的至少一个实体的预测性能。 此外，该方法包括确定至少一个实体的实际性能并提供包括与预测性能，实际性能或预测性能与实际性能的组合相关联的信息的用户界面。

公开(公告)号：US20250110786A1

公开(公告)日：2025-04-03

申请号：US18794966

申请日：2024-08-05

Applicant: Palantir Technologies Inc.

Inventor： Max-Philipp Schrader ,  Sriram Krishnan ,  Megha Arora ,  Pavlo Tyshevskyi ,  Johannes Beil ,  Alexander Edwards ,  David Kebudi ,  Montgomery Evans ,  Anirvan Mukherjee

IPC: G06F9/50 ,  G06F9/54

Abstract: Computer-implemented systems and methods are disclosed, including systems and methods for automatically solving computational tasks or problems. A computer-implemented method may include: providing an agent service that utilizes a plurality of agents to process one or more tasks; receiving, by a first agent, a request to handle a first task; obtaining, by the first agent, a first accessory to handle the first task; assigning, by the first agent, at least a portion of the first task to a second agent; sharing, by the first agent, the first accessory to the second agent; and processing, by the second agent, at least the portion of the first task using the first accessory to generate a processing result.

公开(公告)号：US20230034067A1

公开(公告)日：2023-02-02

申请号：US17961822

申请日：2022-10-07

Applicant: Palantir Technologies Inc.

Inventor： Daniel Erenrich ,  Anirvan Mukherjee

IPC: G06N5/04 ,  G06N7/00 ,  G06Q30/00 ,  G06F16/2455 ,  G06Q30/02

Abstract: Systems and methods are disclosed for determining a propensity of an entity to take a specified action. In accordance with one implementation, a method is provided for determining the propensity. The method includes, for example, accessing one or more data sources, the one or more data sources including information associated with the entity, forming a record associated with the entity by integrating the information from the one or more data sources, generating, based on the record, one or more features associated with the entity, processing the one or more features to determine the propensity of the entity to take the specified action, and outputting the propensity.

公开(公告)号：US09996229B2

公开(公告)日：2018-06-12

申请号：US14571060

申请日：2014-12-15

Applicant: PALANTIR TECHNOLOGIES INC.

Inventor： Daniel Erenrich ,  Anirvan Mukherjee ,  William Dwyer

IPC: G06F3/048 ,  G06F3/0484 ,  G06F17/22 ,  G06Q10/06

CPC classification number: G06F3/0484 ,  G06F17/2247 ,  G06Q10/0639 ,  G06Q10/06395

Abstract: Systems and methods are provided for analyzing entity performance. In accordance with one implementation, a method is provided that includes receiving data associated with a geographic region and transforming the received data into an object model. The method also includes analyzing the object model to associate the received data with a plurality of entities and to associate the received data with a plurality of sub-geographic regions of the geographic region. The method also includes applying a prediction model to the plurality of sub-geographic regions using the object model to determine a predicted performance for at least one entity of the plurality of entities. Further, the method includes determining actual performance for the at least one entity and providing a user interface that includes information associated with the predicted performance, the actual performance, or a combination of the predicted performance and the actual performance.

公开(公告)号：US09734217B2

公开(公告)日：2017-08-15

申请号：US14306138

申请日：2014-06-16

Applicant: PALANTIR TECHNOLOGIES INC.

Inventor： Feridun Arda Kara ,  Eli Bingham ,  John Garrod ,  Daniel Erenrich ,  Anirvan Mukherjee ,  Ted Mabrey ,  Andrew Ash ,  Zachary Bush ,  Allen Cai ,  Winnie Chai ,  Greg Cohan ,  Chris Dorsey ,  William Dwyer ,  Gilad Gray ,  Sean Kelley ,  Dennis Kwon ,  Chris Lewis ,  Greg Martin ,  Parvathy Menon ,  Brian Ngo ,  Asli Ozyar ,  Mike Reilly ,  Jacob Scott ,  Ankit Shankar ,  Matt Sills ,  Spencer Stamats ,  Geoff Stowe ,  Samir Talwar ,  Engin Ural ,  P J Valez ,  Holt Wilkins ,  Diane Wu ,  Drausin Wulsin ,  Di Wu ,  Joyce Yu-Hsin Chen ,  Bar Kaya

IPC: G06F17/30 ,  G06Q10/06

CPC classification number: G06F17/30554 ,  G06F17/30572 ,  G06F17/30598 ,  G06Q10/0639

Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes receiving a request with one or more filter selections and accessing a data structure comprising a plurality of categories of information showing interactions associated with multiple entities. The method also comprises identifying a set of categories of the plurality of categories within the data structure based on the one or more filter selections. The method further comprises processing the information of the identified categories to analyze a performance of one or more entities of the multiple entities in accordance with the one or more filter selections and providing the processed information to display the performance of the one or more entities on a user interface.