Mapleton, UT, United States of America

Rix Ryskamp

This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignees: Augment Legal, Inc., Ryskamp Innovations, LLC. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rix Ryskamp. Retrieved from https://idiyas.com/inventor/rix-ryskamp

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Rix Ryskamp: Innovator in Machine Learning Technologies

Introduction

Rix Ryskamp is a notable inventor based in Mapleton, UT (US). He has made significant contributions to the field of machine learning, holding a total of 2 patents. His work focuses on developing systems and methods that enhance decision-making processes through innovative technologies.

Latest Patents

Ryskamp's latest patents include systems and methods for machine learning using a network of decision-making nodes. These patents describe a process where a first input value and a second input value are obtained. A decision is then selected for generating a cycle output based on a randomness factor. This decision can either be a random choice or the best decision from a previous cycle. The resulting cycle output is generated using the selected decision, and both the decision and the output are stored for future reference.

Career Highlights

Throughout his career, Rix Ryskamp has worked with various companies, including Augment Legal, Inc. and Ryskamp Innovations, LLC. His experience in these organizations has allowed him to refine his skills and contribute to advancements in technology.

Collaborations

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Conclusion

Rix Ryskamp's innovative work in machine learning showcases his dedication to advancing technology and improving decision-making processes. His patents reflect a commitment to creating systems that leverage randomness and previous outcomes for enhanced performance.

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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