Palantir Technologies Inc.

Alexander Martino

Lucas Ray

Stephen Yazicioglu

Henry Tung

Robert Giardina

Wenshuai Hou

Martin Manville

Abhinav Khanna

Eric Knudson

Eric Schwartz

Sarah Beckoff

William Brady

Charles Perinet

Enoch Hsiao

Brendan Berg

Charles Sharzer

Nathan Bruner

Michael Platek

Tri Tang

Alexander Bores

Doron Shapiro

Matthieu Beteille

Landon Bell

Benjamin Duffield

Ashley Einspahr

Justin Streufert

Austin Czarnecki

Gokcan Ozakdag

Savino Sguera

Natacha Gabbamonte

Aditya Chaturvedi

Alicia Monfre

Shelby Pefley

Benjamin Mittelberger

Erik Jarleberg

Pearson Henri

Computing systems methods, and non-transitory storage media are provided for receiving a monitoring request. The monitoring request includes one or more entities or attributes to be monitored, one or more rules to be evaluated with respect to the entities or attributes, and one or more downstream actions to be selectively triggered based on the evaluation. Next, data regarding the entities or the attributes is obtained. Next, a log is generated. The log includes changes or updates, relative to a previous iteration, of the entities or the attributes. The changes or updates correspond to the rules. Next, the changes or the updates are evaluated against the one or more rules and based on the log. Next, one or more actions are selectively implemented based on the evaluation of the changes or the updates.

Monitoring and alerting mechanisms

Systems and methods for analyzing data stored using a data model. The system can receive a user selection of a first object type indicating to perform filtering operations on a first set of data objects, generate a list of object types linked to the first object type based on an ontology, receives a user selection of a second object type, generate a list of properties of the second object type based on an ontology, receive a user selection of a first property from the list of properties, perform a data query determining values associated with the first property, receive a user selection of a first value, and displays information of a subset of data objects being a portion of the first set of data objects that are linked to data objects in the second set of data objects that have a first property value of the first value.

Object-centric data analysis system and graphical user interface

Systems, methods, and non-transitory computer readable media are provided for customizing pipelines for integrating data. A file to be ingested into a data analysis platform may be determined. The file type of the file may be detected. The file may be transformed based on the file type. The transformation may include applying a set of operations to the file. The set of operations may correspond to a pipeline of operations associated with the file type.

Customizable pipeline for integrating data

A document review system is configured to quickly provide search results for large amounts of documents. Ontology templates are used to generate objects and links based on the documents. Users can view documents, and linked objects and object properties can be displayed. An index assisted search can be performed to determine the linked objects and object properties. A supplemental search can be performed on a second database that tracks modifications to the documents or objects. The modifications in the second database can be periodically written to the first database, and the index can be rebuilt. The user experience can be free of slow searches and slow index rebuilds.

Multi-database document search system architecture

Systems and methods are provided for analyzing data in one or more datasets. One or more data objects can be searched for within the one or more datasets. One or more visualizations can be generated based on the results of the search for the one or more data objects in the one or more datasets. When a user interacts with a visualization, e.g., by applying a filter, removing a filter, focusing on a particular subset of the one or more data object, etc., the visualization is updated automatically. Moreover, other visualizations generated based on the same search results may be simultaneously and automatically updated and presented to the user. Rather than a user having to analyze and consume data in a tabular format, the user can interact with representative visualizations to more readily discover and/or reveal aspects of the one or more data objects that would normally be hidden in the tabular format.

Systems and methods for filtering and visualizing large scale datasets

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New York, NY, United States of America

Alexander Martino