Waltham, MA, United States of America

Dorit Zilbershot

This inventor holds 1 USPTO granted patent. Top assignee: Servicenow, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dorit Zilbershot. Retrieved from https://idiyas.com/inventor/dorit-zilbershot

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

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Dorit Zilbershot: Inventor in Generative AI Integration

Introduction

Dorit Zilbershot is an inventor based in Waltham, Massachusetts, and is associated with ServiceNow, Inc. Her patent work addresses ways to connect applications with generative natural language models.

Latest Patents

Zilbershot is named on 1 patent: “Service Platform Integration with Generative Natural Language Models.” The invention describes receiving an application’s request and determining context related to its text. It then generates and sends a prompt to a natural language model, receives a response that may contain relevant information or programmatic commands, and provides the application with further text based on that response.

Career Highlights

Her patent reflects work on integrating natural language models into service platforms and application workflows. The described approach uses contextual prompts and model responses to support application requests.

Collaborations

The provided information lists Douglas Steele, Lorn Bradley, and Rita Maria Castillo as Zilbershot’s coworkers. It does not specify their roles in the patent or whether they collaborated on it.

Conclusion

Dorit Zilbershot’s patent focuses on a practical framework for connecting applications with generative natural language models through contextual prompts and responses.

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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