Company Badge
USPTO Data Jan 1 1976 - Oct 13 2026
33 Patents
#94 in Mountain View, CA
#2,462 in California
#10,305 in US
#20,147 in the World
Tidalx Ai Inc.
Forward Citations = 1
35 inventors:
Mountain View, CA, United States of America
Tidalx Ai Inc.
Forward Citations = 1
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35 inventors (with patents filed for the assignee):
Barnaby John James (17 out of 85 patents)
Matthew Messana (6 out of 20 patents)
Harrison Pham (6 out of 9 patents)
4. Laura Valentine Chrobak (5 out of 15 patents)
5. Thomas Robert Swanson (5 out of 9 patents)
6. Andrew Rossignol (4 out of 9 patents)
7. Grace Calvert Young (4 out of 13 patents)
8. Peter Kimball (4 out of 15 patents)
9. Neil Davé (4 out of 14 patents)
10. Christopher Thornton (4 out of 5 patents)
11. Grace Taixi Brentano (3 out of 10 patents)
12. Zhaoying Yao (3 out of 10 patents)
13. Julia Black Ling (3 out of 11 patents)
14. Shane Washburn (3 out of 16 patents)
15. Matthew Aaron Knoll (3 out of 17 patents)
Core Competencies:
Camera Calibration
Aquatic Biomass Estimation
Sensor Data Processing
Underwater Camera System
Machine Learning
Daisy Chained Marine Sensor
Drone-based Measurement
Turbidity Determination
Visual Detection
Fish Health Determination
Smart Mode Switching
Image Processing
33 patents:
Company Overview
Tidalx Ai Inc., based in Mountain View, CA, specializes in advanced artificial intelligence solutions aimed at enhancing data analysis and decision-making processes across various industries. The company focuses on developing innovative algorithms and machine learning models that empower businesses to leverage their data more effectively. With a commitment to pushing the boundaries of AI technology, Tidalx Ai Inc. is positioned at the forefront of the evolving landscape of intelligent systems and analytics.
Profile summary synthesized from public USPTO records and patent filings.
IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Tidalx Ai Inc.. Retrieved from https://idiyas.com/company/tidalx-ai
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]