Palantir Technologies Inc.

Thomas McArdle

David Skiff

Timothy James Slatcher

Jesse Rickard

David Fowler

Andrew Floren

Aravind Baratha Raj

Adam Storr

Feridun Arda Kara

Vipul Shekhawat

Sander Kromwijk

Thomas Pearson

Christopher Martin

Ted Mabrey

Timothy Slatcher

Adil Majid

Gabriel Boning

Joh Reeves

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

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 (GUI). The system described herein may generate an interactive GUI 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.

Systems, computer program products, and computer-implemented methods for determining relationships between one or more outputs of a first model and one or more inputs of a second model that collectively represent a real world system, and chaining the models together. For example, the system described herein may determine how to chain a plurality of models by training an artificial intelligence system using the nodes of the models such that the trained artificial intelligence system predicts related output and input node connections. The system may then link related nodes to chain the models together. The systems, computer program products, and computer-implemented methods may thus, according to various embodiments, enable a plurality of discrete models to be optimally chained.

System and method for chaining discrete models

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London, United Kingdom

Thomas McArdle