Palantir Technologies Inc.

Simon Slowik

David Lisuk

Daniel Erenrich

Andre Frederico Cavalheiro Menck

Guodong Xu

Anirvan Mukherjee

Aleksandr Zamoshchin

Luis Voloch

Daniel Chin

Rahul Kumar Agarwal

Nicolas Prettejohn

Mihai Condur

Craig Massie

Rahul Agarwal

Basil Jennings

Renee Leatherman

Louis Mosley

One or more virtual machines are launched at an application platform. At each of the one or more virtual machines, a machine learning model execution environment is instantiated for an instance of a machine learning model. A respective instance of the machine learning model is loaded to each machine learning model execution environment. Each loaded instance of the machine learning model is associated with an application programming interface (API) endpoint which can receive input data for the loaded instance of the machine learning model from a client device and return output data produced by the loaded instance of the machine learning model based on the input data.

Providing application programming interface endpoints for machine learning models

A computer system is disclosed that provides purpose-based access to electronic data assets. For example, the computer system may perform operations including: receiving, from a first user, a request to access data assets associated with a purpose object; in response to receiving the request from the first user: generating a purpose access request object including at least an identification of the first user and an identification of the purpose object; and providing an indication of the purpose access request object to a second user associated with the purpose object; receiving, from the second user, an approval of the request; and in response to receiving the approval of the request from the second user: updating the purpose access request object to include at least an indication of the approval of the request; and granting the first user access to data assets associated with the purpose object.

Controlling access to electronic data assets

A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.

Model object management and storage system

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London, United Kingdom

Simon Slowik