The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 13, 2025

Filed:

Jun. 20, 2024
Applicant:

Sustainment Technologies, Inc., Austin, TX (US);

Inventors:

Bret Boyd, Austin, TX (US);

John Michael Rozmus, Manor, TX (US);

Kyle Robert Sperling, Archbold, OH (US);

Quinn Meyer, Saginaw, MI (US);

Junsu Kim, Austin, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/0631 (2023.01); G06Q 50/04 (2012.01); G06V 30/262 (2022.01); G06V 30/42 (2022.01);
U.S. Cl.
CPC ...
G06Q 10/063112 (2013.01); G06Q 50/04 (2013.01); G06V 30/274 (2022.01); G06V 30/42 (2022.01);
Abstract

Techniques for computer science, data science, data analytics, computer software, algorithmic analysis, and networked technologies for sourcing, procurement, manufacturing, and supply chain management in small-to-medium manufacturing ('SMM') industries that involve processes whereby implementing user input and extracted image and text from engineering drawings may be used to map manufacturing requirements to a subset of manufacturers via natural language agent programs. More specifically, natural language agent programs may be implemented to apply input and extracted image and text from engineering drawings to a large language model (“LLM”). An example method may include receiving a user input including data representing requirements to manufacture a physical structure, concatenating an engineering drawing summary data, a shoptype description, and estimated part size instruction data to combine the at least two of the engineering drawing summary data, the shoptype description, and the estimated part size instruction data to generate a subset (e.g., a list) of qualified manufacturers (e.g., SMMs).


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