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USPTO Data Jan 1 1976 - Oct 13 2026
8 Patents
#2,150 in Tokyo
#5,045 in Japan
Pixie Dust Technologies, Inc.
Forward Citations = 85
16 inventors:
Pixie Dust Technologies, Inc.
% Expired Patents = 12.5
Trademarks = 1
Forward Citations = 85
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16 inventors (with patents filed for the assignee):
Takayuki Hoshi (4 out of 8 patents)
Yoichi Ochiai (3 out of 4 patents)
Jun Rekimoto (2 out of 2 patents)
4. Kota Kumagai (1 out of 1 patent)
5. Satoshi Hasegawa (1 out of 1 patent)
6. Yoshio Hayasaki (1 out of 1 patent)
7. Haruhiro Ezure (1 out of 5 patents)
8. Yudai Taira (1 out of 1 patent)
9. Masaki Gomi (1 out of 1 patent)
10. Koichi Ogawa (1 out of 1 patent)
11. Akihiro Yamanaka (1 out of 1 patent)
12. Masaki Gomi (1 out of 1 patent)
13. Takuma Yamazaki (1 out of 1 patent)
14. Yoshiki Nagatani (1 out of 1 patent)
15. Kazuma Maeda (1 out of 1 patent)
8 patents:
Company Overview
Pixie Dust Technologies, Inc. is a leading technology company specializing in innovative solutions for businesses. With a focus on leveraging cutting-edge technology such as artificial intelligence and machine learning, we strive to provide our clients with competitive advantages in today's digital landscape. Our talented team of experts is dedicated to delivering top-notch services and products to help businesses thrive and succeed in an ever-evolving market.
Profile summary synthesized from public USPTO records and patent filings.
IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Pixie Dust Technologies, Inc.. Retrieved from https://idiyas.com/company/pixie-dust-technologies
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]
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]
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]