Palantir Technologies Inc.

Thomas Pearson

Jasjit Grewal

Mark Elliot

Robert Fink

Thomas Powell

Lawrence Manning

Mitchell Beard

Roger Hu

Samuel Rogerson

Miklos Danka

Nitish Kulkarni

Audrey Kuan

Laurynas Pliuskys

Andrew Kaier

Corey Garvey

Kai Shen

Sachi Shah

David Skiff

Adam Storr

Eric A Lee

Feridun Arda Kara

Sander Kromwijk

Vipul Shekhawat

Christopher Martin

Ted Mabrey

Thomas McArdle

Adil Majid

Andrew Floren

Gabriel Boning

Joh Reeves

Timothy James Slatcher

Jesse Rickard

Cenk Sezgin

Timothy Slatcher

Eric C Lee

Systems, computer program products, and computer-implemented methods for visualizing and interacting with a plurality of models that collectively represent a real-world system depicted in a graphical user interface. The system described herein may generate an interactive graphical user interface with multiple modes and a plurality of panels associated with the plurality of models. These panels and modes lay the framework for how a user can properly visualize and analyze the models at a particular point in time or over a period of time. The systems, computer program products, and computer-implemented methods may thus, according to various embodiments, enable a plurality of models that collectively represent a real-world system be interacted with and visualized by a graphical user interface.

Interactive graphical user interfaces for simulated systems

Example embodiments describe a method performed by one or more processors. The method may comprise sending over a network, to a software component installed at a remote data source, a request to download data stored at, or in association with, the remote data source, the software component being configured to access performance data at said remote data source. In response to sending the request, the method may comprise receiving from the software component at least an indication of the performance data accessed by said software component, determining whether to proceed with the data download request or to modify the data download request based on the received performance data.

Ingesting data to a processing platform

An apparatus, and a method, performed by one or more processors are disclosed. The method receives a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method generates a task identifier for the data processing task, and providing, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation. The method receives the second data set and metadata from the agent associated with the external system and stores the second data set and associated metadata.

Providing external access to a processing platform

An apparatus, and a method, performed by one or more processors are disclosed. The method may comprise receiving a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method may also comprise generating a task identifier for the data processing task, and providing, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation. The method may also comprise receiving the second data set and metadata from the agent associated with the external system and storing the second data set and associated metadata.

A system comprising a computer-readable storage medium storing at least one program and a method for determining, tracking, and anticipating risk in a manufacturing facility are presented. In example embodiments, the method includes generating a risk data model for the manufacturing facility based on correlations between historical staffing conditions of the manufacturing facility and deviations from existing manufacturing procedures. The method further includes receiving projected operational data that includes information related to anticipated future staffing conditions of the manufacturing facility. The method further includes calculating a risk score based on the projected operational data using the risk data model. The method further includes causing presentation of a user interface that includes a display of the risk score.

Quantifying, tracking, and anticipating risk at a manufacturing facility based on staffing conditions and textual descriptions of deviations

A system comprising a computer-readable storage medium storing at least one program and a method for determining, tracking, and anticipating risk in a manufacturing facility are presented. In example embodiments, the method includes obtaining operational data associated with a manufacturing facility. The method further includes accessing a risk data model corresponding to the manufacturing facility, and calculating a risk score based on the current operational data using the risk data model. The method further includes causing presentation of a user interface that includes a display of the risk score to provide a user with a measure of risk at the manufacturing facility.

Quantifying, tracking, and anticipating risk at a manufacturing facility, taking deviation type and staffing conditions into account

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Twickenham, United Kingdom

Thomas Pearson