Sandy, UT, United States of America

Spencer Koehler

This inventor holds 5 USPTO granted patents and 1 published patent application. Top assignees: Proofpoint, Inc., Ancestry.com Operations Inc.. Active years: 2014-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Spencer Koehler. Retrieved from https://idiyas.com/inventor/spencer-koehler-ou3142tn

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 5 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2014-2026

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5 patents (USPTO):Explore Patents

Title: Spencer Koehler: Innovator in Machine Learning and Document Processing

Introduction

Spencer Koehler is a notable inventor based in Sandy, Utah, with a focus on leveraging machine learning to enhance document processing. He holds four patents that reflect his innovative contributions to technology and user experience.

Latest Patents

One of Spencer's latest patents involves using a machine learning system to process a corpus of documents associated with a user to determine a user-specific and/or process-specific consequence index. This patent outlines a computing platform that loads a corpus of documents and creates smart groups based on the content. The platform generates user interfaces that allow users to apply labels to documents, facilitating a more organized and efficient document management system.

Career Highlights

Throughout his career, Spencer has worked with prominent companies such as Proofpoint, Inc. and Ancestry.com Operations Inc. His experience in these organizations has contributed to his expertise in machine learning and document processing technologies.

Collaborations

Spencer has collaborated with talented individuals, including Daniel Wallace Rapp and Brian Sanford Jones, who have contributed to his projects and innovations.

Conclusion

Spencer Koehler's work in machine learning and document processing showcases his commitment to innovation and technology. His patents and career achievements highlight his significant contributions to the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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