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Preferred Networks, Inc.

USPTO Granted Patents = 85

% Expired Patents = 5.9

Trademarks = 13

Forward Citations = 151

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119 inventors (with patents filed for the assignee):

Daisuke Okanohara (17 out of 18 patents)

Eiichi Matsumoto (15 out of 15 patents)

Ryosuke Okuta (12 out of 14 patents)

4. Keigo Kawaai (10 out of 10 patents)

5. Kenta Oono (10 out of 10 patents)

6. Taizan Yonetsuji (7 out of 7 patents)

7. Seiya Tokui (7 out of 7 patents)

8. Justin B Clayton (6 out of 6 patents)

9. Hiroshi Nakagawa (5 out of 25 patents)

10. Shohei Hido (5 out of 5 patents)

11. Tanvir Ahmed (4 out of 6 patents)

12. Takeru Miyato (4 out of 4 patents)

13. Yuya Unno (4 out of 4 patents)

14. Shougo Inagaki (3 out of 6 patents)

15. Junichiro Makino (3 out of 3 patents)

Core Competencies:

Neural Networks

Generative Systems

Data Processing

Fault Prediction

3D Model Generation

Image Generation

Robotics

Cross-Domain Data Conversion

Tactile Information

Automatic Coloring

Hyperparameter Tuning

85 patents: Sort by Forward Citations

1. 12737681 - Distributed reinforcement learning system and distributed reinforcement learning method (2026-09-15),

2. 12725083 - Training device, method, non-transitory computer readable medium, and inferring device (2026-09-01),

3. 12682645 - Analysis device, analysis system, analysis method, and computer-readable medium (2026-07-14),

4. 12669998 - Data processing device (2026-06-30),

5. 12669919 - Information processing device (2026-06-30),

6. 12663764 - Inference apparatus, training apparatus, and inference method (2026-06-23),

7. 12578962 - Processor and method of controlling processor (2026-03-17),

8. 12537874 - Device, program, method, and system for providing learned models (2026-01-27),

9. 12530577 - Training device, inferring device, training method, inferring method, and non-transitory computer readable medium (2026-01-20),

10. 12481445 - Processing system and processing method for neural network (2025-11-25),

11. 12481255 - Control system, control method, and control program for determining operation data by repeatedly calculating control target data indicating a predicted value of a control target in a plant (2025-11-25),

12. 12430147 - Hyperparameter tuning method, program trial system, and computer program (2025-09-30),

13. 12430129 - Instruction generating method, arithmetic processing device, and instruction generating device (2025-09-30),

14. 12423622 - Generative machine learning systems for generating structural information regarding chemical compound (2025-09-23),

15. 12393473 - Method for determining parallelization axes combination for split scheme, determining device, and computing system (2025-08-19),

Preferred Networks, Inc., based in Tokyo, specializes in advanced machine learning technologies. The company focuses on developing innovative solutions utilizing neural networks and generative systems to enhance data processing capabilities. Its research spans various applications, including fault prediction, 3D model generation, image generation, and robotics. By leveraging cross-domain data conversion, Preferred Networks aims to drive significant advancements in industries such as manufacturing, healthcare, and transportation, positioning itself as a leader in the machine learning landscape.

Profile summary based on public USPTO records.

Company Badge

USPTO Data Jan 1 1976 - Oct 6 2026

Preferred Networks, Inc.

85 Patents

#603 in Tokyo

#1,253 in Japan

#8,951 in the World

Preferred Networks, Inc.

Forward Citations = 151

119 inventors:

Daisuke Okanohara (17 out of 18 patents)

Eiichi Matsumoto (15 out of 15 patents)

Ryosuke Okuta (12 out of 14 patents)

4. Keigo Kawaai (10 out of 10 patents)

5. Kenta Oono (10 out of 10 patents)

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