San Francisco, CA, United States of America

Nate M Meierpolys

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nate M Meierpolys. Retrieved from https://idiyas.com/inventor/nate-m-meierpolys

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 = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Nate M. Meierpolys and Generative AI for Incident Workflows.

Introduction

Nate M. Meierpolys is an inventor based in San Francisco, California, and is associated with PagerDuty, Inc. His patent work concerns using generative artificial intelligence to create a natural-language interface for building incident workflows.

Latest Patents

Meierpolys is named on one patent, titled “Using Generative AI to Make a Natural Language Interface.” The invention describes an operations computing system that receives a user’s natural-language input about an incident and generates prompts based on that input. A machine-learning model produces clarifying questions or instructions, and the system uses the user’s follow-up responses to create structured data and instructions for an incident workflow. Meierpolys is credited with 1 patent.

Career Highlights

The patent reflects work at the intersection of generative AI, natural-language processing, and incident management. Its approach is designed to help translate conversational input into structured workflow instructions.

Collaborations

Meierpolys’s listed coworkers include Dylan Lingelbach and Weiyu Max Li. The patent’s focus on operational workflows aligns with PagerDuty’s work in incident management.

Conclusion

Nate M. Meierpolys’s patent describes a conversational, AI-assisted method for turning incident-related input into structured workflow instructions.

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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