Tel Aviv, Israel

Meitar Ronen

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Meitar Ronen. Retrieved from https://idiyas.com/inventor/meitar-ronen-yz2jiwew

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Meitar Ronen: Inventor of Predictive User Insights.

Introduction

Meitar Ronen is an inventor based in Tel Aviv, Israel. His patent work focuses on using artificial intelligence to analyze user activity and generate early warning insights.

Latest Patents

Ronen is associated with one patent, titled “Automated Generation of Early Warning Predictive Insights About Users.” The invention describes analyzing user interactions on a distributed software platform with trained AI models. The system identifies changes in user behavior over time, evaluates those findings using business rules, and can present relevant predictive insights through graphical user interface notifications. These notifications are designed to explain how and why user behavior has changed, helping users understand predictions and act on them.

Career Highlights

Ronen is associated with Microsoft Technology Licensing, LLC. His patent reflects an application of AI to contextual analysis of user activity, with an emphasis on making predictive findings understandable and actionable. The available information identifies 1 patent associated with him.

Collaborations

Ronen’s listed coworkers include Shay Ben-elazar and Daniel Sitton. Their inclusion indicates professional connections, though the available information does not specify their roles in the patent.

Conclusion

Meitar Ronen’s patent work centers on AI-driven analysis that turns changes in software-platform user behavior into timely, explainable predictive insights.

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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