Lisbon, Portugal

Nichal Ashok Narotamo

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nichal Ashok Narotamo. Retrieved from https://idiyas.com/inventor/nichal-ashok-narotamo

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: Nichal Ashok Narotamo: Patent Inventor in Intent Detection

Introduction

Nichal Ashok Narotamo is an inventor associated with Lisbon, Portugal, and Zendesk, Inc. His patent work addresses the use of masked models to identify the intent behind support tickets.

Latest Patents

Narotamo is named on 1 patent, titled “Intent Detection via Masked Models.” The invention describes providing an intent model with a support ticket and a subset of relevant intents associated with the organization handling it. The model then predicts one or more intents from that subset, helping tailor ticket classification to an organization’s needs.

Career Highlights

The available information connects Narotamo’s invention to Zendesk, Inc., a company focused on customer service technology. His patent reflects an application of machine learning to support workflows, where identifying a ticket’s intent can help organize and route customer requests.

Collaborations

Narotamo’s listed coworkers include David Oliveira Aparício and Mariana Sá Correia Leite De Almeida. The provided information does not specify whether they collaborated with him on this patent.

Conclusion

Nichal Ashok Narotamo’s patent on intent detection via masked models presents an approach to classifying support tickets using organization-specific intent options.

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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