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Toronto, Canada

Maluuba Inc.

USPTO Granted Patents = 14

Forward Citations = 129

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25 inventors (with patents filed for the assignee):

Kaheer Suleman (8 out of 21 patents)

Wilson Hsu (6 out of 11 patents)

Zhiyuan Wu (5 out of 8 patents)

4. Sam Pasupalak (5 out of 7 patents)

5. Joshua R Pantony (5 out of 8 patents)

6. Tareq Ismail (5 out of 6 patents)

7. Andrew James McNamara (4 out of 13 patents)

8. Phil Tregenza (4 out of 6 patents)

9. James Simpson (4 out of 7 patents)

10. Jing He (3 out of 6 patents)

11. Philip Bachman (2 out of 7 patents)

12. Matthew Mitchell Dixon (2 out of 6 patents)

13. Zheng Ye (2 out of 5 patents)

14. Justin Harris (2 out of 2 patents)

15. Adrian Petrescu (2 out of 2 patents)

14 patents: Sort by Forward Citations

1. 10691999 - Parallel-hierarchical model for machine comprehension on small data (2020-06-23),

2. 10649990 - Linking ontologies to expand supported language (2020-05-12),

3. 10467259 - Method and system for classifying queries (2019-11-05),

4. 10452783 - Conversational agent (2019-10-22),

5. 10437929 - Method and system for processing an input query using a forward and a backward neural network specific to unigrams (2019-10-08),

6. 10387410 - Method and system of classification in a natural language user interface (2019-08-20),

7. 10242667 - Natural language generation in a spoken dialogue system (2019-03-26),

8. 10223445 - Hybrid natural language processor (2019-03-05),

9. 10217059 - Method and system for generating natural language training data (2019-02-26),

10. 9971766 - Conversational agent (2018-05-15),

11. 9740736 - Linking ontologies to expand supported language (2017-08-22),

12. 9575963 - Conversational agent (2017-02-21),

13. 9292279 - Method and system for creating and managing a dynamic route topography for service oriented software environments (2016-03-22),

14. 9292254 - Interactive user interface for an intelligent assistant (2016-03-22),

Company Overview

Maluuba Inc., based in Toronto, specializes in advanced artificial intelligence technologies, particularly in natural language processing and understanding. The company focuses on developing systems that enable machines to comprehend and interact with human language in a more intuitive manner. By leveraging deep learning and machine learning techniques, Maluuba aims to enhance human-computer interaction across various applications, contributing to the broader field of AI research and innovation.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

14 Patents

#111 in Toronto

#1,069 in Canada

#42,290 in the World

Toronto, Canada

Maluuba Inc.

Forward Citations = 129

25 inventors:

Kaheer Suleman (8 out of 21 patents)

Wilson Hsu (6 out of 11 patents)

Zhiyuan Wu (5 out of 8 patents)

4. Sam Pasupalak (5 out of 7 patents)

5. Joshua R Pantony (5 out of 8 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Maluuba Inc.. Retrieved from https://idiyas.com/company/maluuba

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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