Palantir Technologies Inc.

Robin Lim

Michael Glazer

Youssef Moussaoui

Mitchell Beard

Paul Ryan

Tristan Huber

Alexander Vasilyev

Mark Basoa

Bonnie McLindon

Nick White

Sina Iman

Mark Lundquist

Lucas Lemanowicz

Timothy Yousaf

Joseph Staehle

Matthew Falk

Sebastien Noury

Mark Elliot

Joel Ossher

Javier Campanini

Agatha Yu

Mitch Beard

Mike Glazer

Dathan Bennett

Steve Matuszek

An interactive vehicle information map system is disclosed in which, in various embodiments, geographical, geospatial, vehicle, and other types of data, geodata, objects, features, and/or metadata are efficiently presented to a user on an interactive map interface. In an embodiment, the user may search vehicle-related data via the interactive map by providing search criteria including, for example, information regarding a geographic area, a time period, a vehicle, a vehicle owner, and/or a license plate number, among other items. The map system may provide search results including a list of vehicles that match the search criteria, vehicle information, and/or points on the interactive map that indicate license-plate recognition read locations, among other information. In an embodiment, the user may view detailed information associated with particular vehicles including, for example, captured images, vehicle-owner data, event history, and the like. Further, the user may export data and/or create search alerts.

Interactive vehicle information map

A system with methodology for dynamic modular ontology. In one embodiment, for example, a method comprises: receiving a command from an analyst to create a new ontology module; receiving, from the analyst, a selection of a first ontology module to import into the new ontology module; receiving, from the analyst, a selection of a second ontology module to import into the new ontology module; detecting an ambiguous data type definition conflict between a first definition of a data type in the first ontology module and a second definition of the data type in the second ontology module; generating a third definition of the data type reflecting a resolution of the ambiguous data type definition conflict; and storing, in a data container, the new ontology module comprising the third definition of the data type.

System with methodology for dynamic modular ontology

Embodiments of the present disclosure relate to a data analysis system that may automatically analyze a suspected malware file, or group of files. Automatic analysis of the suspected malware file(s) may include one or more automatic analysis techniques. Automatic analysis of may include production and gathering of various items of information related to the suspected malware file(s) including, for example, calculated hashes, file properties, academic analysis information, file execution information, third-party analysis information, and/or the like. The analysis information may be automatically associated with the suspected malware file(s), and a user interface may be generated in which the various analysis information items are presented to a human analyst such that the analyst may quickly and efficiently evaluate the suspected malware file(s). For example, the analyst may quickly determine one or more characteristics of the suspected malware file(s), whether or not the file(s) is malware, and/or a threat level of the file(s).

Malware data item analysis

Growing community of inventors

Mountain View, CA, United States of America

Robin Lim