Palantir Technologies Inc.

Parvathy Menon

Adam Borochoff

Michael Harris

Michael Kross

Joseph Rafidi

Matthew Sprague

Ryan Rowe

James Thompson

Harkirat Singh

David Cohen

Jack Grossman

Jason Ma

Ilya Nepomnyashchiy

Matthew MacLean

Matthew Jenny

Brian Ngo

Bing Jie Fu

Steven Berler

Salar Al Khafaji

Tyler Uhlenkamp

Julia Boortz

Alex Smaliy

Geoff Stowe

Brendan Weickert

Hao Zuo

Allen Chang

Robert Fink

Joshua Goldenberg

Gregory Martin

Adam Anderson

Lynn Cuthriell

Catherine Lu

Karanveer Mohan

Bill Dwyer

Zach Bush

Mike Boland

Michelle Guo

Andrew Elder

Di Wu

Daniel Patrick Cervelli

John Kenneth Garrod

Ankit Shankar

Adam Storr

Daniel Erenrich

Allen Cai

Robert Kruszewski

Jacob Scott

Eli Bingham

Walker Burgin

Geoffrey Stowe

Feridun Arda Kara

Anirvan Mukherjee

Zachary Bush

Andrew Ash

Greg Martin

Aditya Dahiya

Diane Wu

Patrick Szmucer

Arthur Wu

Engin Ural

William Dwyer

Sean Kelley

Ayush Sood

Winnie Chai

Roger Chen

Ted Mabrey

Drausin Wulsin

Gilad Gray

Matthew Bango

Stefan Bach

Greg Cohan

Chris Dorsey

Dennis Kwon

Chris Lewis

Asli Ozyar

Mike Reilly

Matt Sills

Spencer Stamats

Samir Talwar

Holt Wilkins

Amrit Saxena

Mark Elliot

Timothy James Slatcher

Kamran Khan

Joseph Hashim

Joyce Yu-Hsin Chen

Bar Kaya

Vilmos Ioo

Alexander Visbal

Jacob Albertson

Rahij Ramsharan

Christopher Rogers

Timothy Slatcher

Patricio Jones Velez

John Mathews

Katherine Ketsdever

Daniel Campos

Yu-Hsin Joyce Chen

Computing systems methods, and non-transitory storage media are provided for retrieving information regarding an operation to be performed by a platform, performing a preliminary validation of the operation, generating details regarding the preliminary validation, transmitting at least a subset of the details of the preliminary validation to the platform, and populating the generated details on an interface. If the preliminary validation fails, the platform refrains from performing the operation. Furthermore, the logic describing the operation can be executed on different platforms and is not bound or limited to one platform.

Approaches of augmenting and streamlining task execution

Systems and methods are provided for improved graphical user interfaces. The system enables multiple separate applications, each of which may typically be in their own separate window or tab, to be interacted within a single window, such as a tab of a web browser application. The main window includes smaller sub-windows that can correspond to a distinct application with its own graphical user interface. A large sub-window within the main window is opened for the primary application where the user is currently interacting with a graphical user interface of the primary application. The user then is able to switch between applications (all within the same main window) and applications that are no longer being used can be minimized in smaller sub-windows off to the side of the primary sub-window. The system enables a user to drag and drop an item from one sub-window to another sub-window. Some of the interactions between the windows and data transformations are stored and can be visually presented in a graph.

Graphical user interface system

A method comprises storing first transaction data for a first transaction producing a first version of a first dataset, second transaction data for a second transaction transforming a first version of the first dataset to a second version of the first dataset, and third transaction data for a third transaction transforming the second version of the first dataset to a third version of the first dataset; storing dependency information indicating a first dependency of the third transaction on the second transaction and a second dependency of the second transaction on the first transaction; receiving a first instruction to revoke a first permission of a first user to access the second version of the first dataset; automatically revoking a certain permission of the first user to access the third version of the first dataset based on the dependency information.

Data revision control in large-scale data analytic systems

Display screen or portion thereof with graphical user interface

A resource dependency system displays two dynamically interactive interfaces in a resource dependency user interface, a hierarchical resource repository and a dependency graph user interface. User interactions on each interface can dynamically update either interface. For example, a selection of a particular resource in the dependency graph user interface causes the system to update the dependency graph user interface to indicate the selection and also updates the hierarchical resource repository to navigate to the appropriate folder corresponding to the stored location of the selected resource. In another example, a selection of a particular resource in the hierarchical resource repository causes the system to update the hierarchical resource repository to indicate the selection and also updates the dependency graph user interface to display an updated graph, indicate the selection and, in some embodiments, focus on the selected resource by zooming into a portion of the graph.

Resource dependency system and graphical user interface

In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.

Malware data clustering

Systems and methods are provided for creating and managing a data integration workspace. The workspace may comprise one or more views of data (or datasets) stored in or accessible by the system. Models may be generated and updated based on the plurality of datasets and presented via a graphical user interface. Feedback received via a graphical user interface presenting a model may be used to annotate an underlying dataset associated with the model. Responsive to a modification of the underlying dataset or the rules for using the underlying dataset to generate the model, other related datasets and/or models may be automatically updated accordingly. Templates associated with one or more types of users may be defined. Each template may comprise one or more specific models related to a specific type of user.

Systems and methods for creating and managing a data integration workspace

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 analyses (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.

Phishing data item clustering and analysis

A computer-implemented system and method for data revision control in a large-scale data analytic systems. In one embodiment, for example, a computer-implemented method comprises the operations of storing a first version of a dataset that is derived by executing a first version of driver program associated with the dataset; and storing a first build catalog entry comprising an identifier of the first version of the dataset and comprising an identifier of the first version of the driver program.

In some embodiments, a method comprises obtaining a pipeline of operations, the pipeline of operations including a plurality of functions providing any of one or more modification operations or visualization operations for a plurality of datasets. A first dynamic visualization of the pipeline of operations at a first level of granularity is generated. A second dynamic visualization of the pipeline of operations at a second level of granularity is generated in response to user input.

Systems and methods for generating dynamic pipeline visualizations

Aspects of the present disclosure relate to systems and methods for receiving, managing, and displaying annotations on documents in real-time. A user (e.g., an author of a document) uploads a document into a real-time annotation system, which may then generate a composite presentation based on the uploaded document. The composite presentation includes all the content of the document presented in a specially configured graphical user interface to receive and manage annotations from a plurality of user devices.

Real-time document annotation

Growing community of inventors

San Francisco, CA, United States of America

Parvathy Menon