Neuronz Limited

Calculating rank

USPTO Granted Patents = 5

% Expired Patents = 80.0

Forward Citations = 13

Loading Chart...

5 inventors (with patents filed for the assignee):

Peter David Gluckman (4 out of 29 patents)

Jian Guan (3 out of 12 patents)

Christopher E Williams (3 out of 10 patents)

4. Tajrena Alexi (2 out of 4 patents)

5. Rita V M Krishnamurthi (1 out of 1 patent)

5 patents: Sort by Forward Citations

1. 6812208 - Methods to improve neural outcome (2004-11-02),

2. 6780848 - Use of GPE to protect glial cells or non-dopaminergic cells from death from neural injury or disease (2004-08-24),

3. 6682753 - Methods for promoting weight gain using GPE-related compounds (2004-01-27),

4. 6617311 - Regulation of tyrosine hydroxylase (2003-09-09),

5. 6365573 - Regulation of neural enzymes (2002-04-02),

Company Overview

Neuronz Limited is a leading artificial intelligence and machine learning company that provides innovative solutions for businesses across various industries. With a team of experts in data science and technology, Neuronz offers advanced AI algorithms and models to help companies optimize operations, improve customer experience, and drive growth. Through cutting-edge technology and personalized strategies, Neuronz is committed to helping businesses succeed in the digital age.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

5 Patents

#63 in Auckland

#158 in New Zealand

Auckland, New Zealand

Neuronz Limited

Forward Citations = 13

5 inventors:

Peter David Gluckman (4 out of 29 patents)

Jian Guan (3 out of 12 patents)

Christopher E Williams (3 out of 10 patents)

4. Tajrena Alexi (2 out of 4 patents)

5. Rita V M Krishnamurthi (1 out of 1 patent)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Neuronz Limited. Retrieved from https://idiyas.com/company/neuronz

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

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]