Seoul, South Korea

42 Maru Inc.


USPTO Granted Patents = 26


Trademarks = 2

Forward Citations = 11

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37 inventors (with patents filed for the assignee):

goldMedal Dong Hwan Kim (26 out of 56 patents)

silverMedal You Kyung Kwon (10 out of 11 patents)

bronzeMedal Woo Tae Jeong (9 out of 10 patents)

4.  Hyun Ok Kim (8 out of 11 patents)

5.  Han Su Kim (4 out of 6 patents)

6.  In Je Seong (4 out of 4 patents)

7.  Kibong Sung (3 out of 3 patents)

8.  SeongYeop Jeong (3 out of 3 patents)

9.  Seanie Lee (3 out of 4 patents)

10.  So Young Ko (3 out of 3 patents)

11.  Da Hea Moon (3 out of 3 patents)

12.  Ki Beom Kwon (3 out of 3 patents)

13.  Sun Young Lee (2 out of 139 patents)

14.  Hyuk Sung Kwon (2 out of 2 patents)

15.  Gilje Seong (2 out of 2 patents)


Core Competencies:
Natural Language Query
SQL Query
Document Retrieval
Text Summarization
Question-Answering
Machine Reading Comprehension
Adversarial Learning
Data Structuring
QA Models
Artificial Intelligence
Speech Recognition

26 patents:

Company Overview
42 Maru Inc. is a technology company based in Seoul, South Korea, specializing in advanced artificial intelligence solutions. The organization focuses on natural language processing and machine learning, developing innovative applications that enhance data analysis and decision-making processes. By leveraging cutting-edge algorithms and deep learning techniques, 42 Maru aims to transform how businesses interact with information, providing tools that streamline operations and improve efficiency across various sectors.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Oct 6 2026

26 Patents

#190 in Seoul

#510 in South Korea

#24,781 in the World

Seoul, KR
Seoul, South Korea
Forward Citations = 11

37 inventors:

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: 42 Maru Inc.. Retrieved from https://idiyas.com/company/42-maru

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]
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