New York, NY, United States of America

Dimitris Alikaniotis

This inventor holds 1 USPTO granted patent. Top assignee: Superhuman Platform Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dimitris Alikaniotis. Retrieved from https://idiyas.com/inventor/dimitris-alikaniotis-p7wk35p2

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Dimitris Alikaniotis: Inventor of a Machine-Learning Approach to Email

Introduction

Dimitris Alikaniotis is an inventor based in New York, NY (US), associated with Superhuman Platform Inc. His work includes a patented computer-implemented process for identifying text in threaded electronic messages that may require a response.

Latest Patents

Alikaniotis is named on 1 patent: “Deriving Text Elements from Threaded Electronic Messages.” The invention receives copies of related messages, organizes them into an in-memory model, and analyzes them with machine-learning models. It identifies text elements that may need a response from the receiving account and sends presentation instructions to a client device so those elements can be displayed in a graphical user interface.

Career Highlights

The patent reflects work at the intersection of machine learning and email communication. By surfacing message content that may call for a reply, the system is designed to help users navigate threaded conversations.

Collaborations

Alikaniotis is associated with Superhuman Platform Inc. His named coworkers include Dru Knox and Maxim Gubin.

Conclusion

Dimitris Alikaniotis’s patent describes a machine-learning system for finding response-worthy text in email threads and presenting it to users.

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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