Markforged, Inc.

Bruce David Jones

Corey Hazeltine Walsh

Gregory Thomas Mark

Yongquan Lu

Maggie Su

Techniques for manufacturing optimization using a multi-tenant machine learning platform are disclosed. A method for manufacturing optimization includes: obtaining physical sensor data, by a manufacturing device associated with a tenant of a multi-tenant machine learning platform; determining, by a machine learning spoke system associated with the tenant, a machine learning parameter based on at least the physical sensor data; preventing exposure of the first physical sensor data of the first manufacturing device to any other tenant of the multi-tenant machine learning platform; transmitting the machine learning parameter from the machine learning spoke system to a machine learning hub system of the multi-tenant machine learning platform; and updating, by the machine learning hub system, a multi-tenant machine learning model based at least on the machine learning parameter.

Manufacturing optimization using a multi-tenant machine learning platform

A method of 3D printing an object includes receiving design information corresponding to an object for which a printed object is to be generated by a 3D printing operation according to a first set of print instructions, generating a plurality of measurement locations, printing successive layers which form the object, measuring the object at the measurement locations to form measurement data, comparing the measurement data with expected measurements of the measurement locations based on the design information, and generating, based on the comparing, deviation information. The measurement locations represent locations of the object to be measured by a measurement device. The deviation information represents deviations between the printed object following completion of the printing, and the object represented by the design information.

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Sudbury, MA, United States of America

Bruce David Jones