For the Inventor, By the Inventor

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Mountain View, CA, United States of America

Qeexo, Co.

USPTO Granted Patents = 37

EPO Patents = 12

Trademarks = 2

Forward Citations = 193

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22 inventors (with patents filed for the assignee):

Julia Schwarz (18 out of 56 patents)

Christopher Harrison (17 out of 40 patents)

Chris Harrison (9 out of 12 patents)

4. Rajen Bhatt (7 out of 17 patents)

5. Taihei Munemoto (6 out of 6 patents)

6. Robert Bo Xiao (6 out of 6 patents)

7. Robert Xiao (5 out of 8 patents)

8. Yanfei Chen (3 out of 6 patents)

9. Shitong Mao (3 out of 3 patents)

10. Raviprakash Kandury (3 out of 3 patents)

11. Michelle Tai (3 out of 3 patents)

12. Geoffrey Newman (3 out of 3 patents)

13. William Isaac Levine (2 out of 2 patents)

14. Leandro Damian Zungri (2 out of 2 patents)

15. Joshua Dale Stone (2 out of 2 patents)

Core Competencies:

Automated Defect Detection

Ultrasonic Sensing

User Activity Modeling

Touch Event Classification

Identity Theft Prevention

Proximity Detection

Touch Input Processing

Spatiotemporal Patterns

Finger Touch Types

Multi-Sensor Streams

Touch Discontinuities

Interactive Functions

37 patents: Sort by Forward Citations

1. 12456185 - Automated machine vision-based defect detection (2025-10-28),

2. 12163923 - Adaptive ultrasonic sensing techniques and systems to mitigate interference (2024-12-10),

3. 11980792 - Method and apparatus for calibrating a user activity model used by a mobile device (2024-05-14),

4. 11847775 - Automated machine vision-based defect detection (2023-12-19),

5. 11727091 - Method and system for training machine learning models on sensor nodes (2023-08-15),

6. 11663850 - Method and system to prevent identity theft for fingerprint recognition enabled touch screen devices (2023-05-30),

7. 11619983 - Method and apparatus for resolving touch screen ambiguities (2023-04-04),

8. 11592423 - Adaptive ultrasonic sensing techniques and systems to mitigate interference (2023-02-28),

9. 11543922 - Detecting object proximity using touch sensitive surface sensing and ultrasonic sensing (2023-01-03),

10. 11538146 - Automated machine vision-based defect detection (2022-12-27),

11. 11262864 - Method and apparatus for classifying finger touch events (2022-03-01),

12. 11231815 - Detecting object proximity using touch sensitive surface sensing and ultrasonic sensing (2022-01-25),

13. 11216638 - Method and system to prevent identity theft for fingerprint recognition enabled touch screen devices (2022-01-04),

14. 11175698 - Methods and systems for processing touch inputs based on touch type and touch intensity (2021-11-16),

15. 11048355 - Determining pitch and yaw for touchscreen interactions (2021-06-29),

Company Overview

Qeexo, based in Mountain View, California, specializes in advanced machine learning and artificial intelligence technologies. The company focuses on developing innovative solutions that enhance user interaction with devices through touch and gesture recognition. Their expertise spans various domains, including mobile technology and smart devices, enabling seamless integration of intelligent features into everyday products. Qeexo's commitment to pushing the boundaries of human-computer interaction positions it as a leader in the tech landscape.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

37 Patents

#87 in Mountain View, CA

#2,190 in California

#9,262 in US

#18,281 in the World

Mountain View, CA, United States of America

Qeexo, Co.

Forward Citations = 193

22 inventors:

Julia Schwarz (18 out of 56 patents)

Christopher Harrison (17 out of 40 patents)

Chris Harrison (9 out of 12 patents)

4. Rajen Bhatt (7 out of 17 patents)

5. Taihei Munemoto (6 out of 6 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Qeexo, Co.. Retrieved from https://idiyas.com/company/qeexo-company

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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