Redmond, WA, United States of America

Jacob Spoelstra

This inventor holds 1 USPTO granted patent. Top assignee: Opera Solutions USA, LLC. Active years: 2017.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jacob Spoelstra. Retrieved from https://idiyas.com/inventor/jacob-spoelstra-dixkqxhi

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

Calculating rank

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 38(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Jacob Spoelstra and Predictive Billing-Error Detection.

Introduction

Jacob Spoelstra is an inventor associated with Redmond, Washington, and Opera Solutions USA, LLC. His patent work focuses on using predictive modeling to identify billing errors and help organizations prevent revenue leakage.

Latest Patents

Spoelstra is associated with 1 patent: “System and Method for Detecting Billing Errors Using Predictive Modeling.” The invention describes a computer system and billing-error detection engine that receives and preprocesses billing information, then applies predictive models to identify potential errors. The results may be reviewed by third-party auditors, whose feedback can be incorporated into the analysis. The system generates a final report identifying errors that require correction, helping an organization address them and reduce revenue leakage.

Career Highlights

Spoelstra’s listed work connects him with Opera Solutions USA, LLC. His patent illustrates an application of predictive modeling to billing review, combining automated analysis with the option of human auditor feedback.

Collaborations

Eric Doi and Abhikesh Nag are identified as Spoelstra’s coworkers. The patent description also outlines a process that can involve third-party auditors in reviewing results.

Conclusion

Jacob Spoelstra’s patent presents a predictive approach to detecting billing errors, with the goal of helping organizations correct discrepancies and prevent revenue leakage.

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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