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Cambridge, MA, United States of America

Cambridge Mobile Telematics Inc.

USPTO Granted Patents = 83

EPO Patents = 17

Trademarks = 8

Forward Citations = 437

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63 inventors (with patents filed for the assignee):

Hari Balakrishnan (27 out of 39 patents)

Brad Cordova (24 out of 47 patents)

Samuel Ross Madden (19 out of 19 patents)

4. William Francis Bradley (15 out of 15 patents)

5. Lewis David Girod (14 out of 15 patents)

6. Sanujit Sahoo (12 out of 19 patents)

7. Rafi Finegold (12 out of 21 patents)

8. Yuting Qi (12 out of 13 patents)

9. Jun-geun Park (10 out of 13 patents)

10. Ilan Ossin (9 out of 9 patents)

11. Sushrut Karnik (8 out of 9 patents)

12. Dan Shiebler (8 out of 15 patents)

13. Eddie Vaisman (7 out of 9 patents)

14. Cornelius F Young (6 out of 6 patents)

15. Matthew Evan Lewin (5 out of 5 patents)

Core Competencies:

Driver Behavior

Crash Prediction

Sensor Data

Telematics

Vehicle Monitoring

Navigation Systems

Fuel Efficiency

Mobile Devices

Hard Braking Detection

Trip Analysis

Safety Performance

Theft Recovery

83 patents: Sort by Forward Citations

1. 12731402 - Automating vehicle damage inspection using claims photos (2026-09-08),

2. 12718683 - Methods and systems for using mobile device-based crash detection to trigger vehicle data collection (2026-08-25),

3. 12686352 - Machine learning-based continuous monitoring for improving crash detection and response system accuracy (2026-07-21),

4. 12623682 - Method and system for driver alerts based on sensor data and contextual information (2026-05-12),

5. 12610212 - Method and system for accessing historical sensor data without location services (2026-04-21),

6. 12571922 - Identifying unreliable global navigation satellite system (GNSS) data (2026-03-10),

7. 12568344 - Identifying correlated mobile computing devices associated with a common vehicle or trip (2026-03-03),

8. 12561585 - Systems and methods for classifying driver behavior (2026-02-24),

9. 12552382 - Method and system for power management in a standalone vehicle monitoring device (2026-02-17),

10. 12518199 - Virtual tagging of vehicles (2026-01-06),

11. 12515602 - Methods and systems of predicting total loss events (2026-01-06),

12. 12417705 - Method and system for vehicle crash prediction using multi-vehicle data (2025-09-16),

13. 12415522 - Mobile phone application and graphical user interface for detecting and visualizing driving events using mobile phone sensors (2025-09-16),

14. 12340638 - Method and system for obtaining vehicle fuel efficiency (2025-06-24),

15. 12321869 - Constructing a statistical model and evaluating model performance (2025-06-03),

Company Overview

Cambridge Mobile Telematics Inc., based in Cambridge, MA, specializes in vehicle telematics, focusing on enhancing driver safety and optimizing vehicle performance. The company leverages advanced sensor data and mobile technology to analyze driver behavior, predict crashes, and improve fuel efficiency. Its innovative solutions integrate navigation systems and real-time vehicle monitoring, providing valuable insights for both consumers and fleet operators. By harnessing data-driven approaches, CMT aims to transform the automotive landscape and promote safer driving practices.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

83 Patents

#33 in Cambridge, MA

#242 in Massachusetts

#4,470 in US

#9,150 in the World

Cambridge, MA, United States of America

Cambridge Mobile Telematics Inc.

Forward Citations = 437

63 inventors:

Hari Balakrishnan (27 out of 39 patents)

Brad Cordova (24 out of 47 patents)

Samuel Ross Madden (19 out of 19 patents)

4. William Francis Bradley (15 out of 15 patents)

5. Lewis David Girod (14 out of 15 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Cambridge Mobile Telematics Inc.. Retrieved from https://idiyas.com/company/cambridge-mobile-telematics

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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