For the Inventor, By the Inventor

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Baltimore, MD, United States of America

Machinesense, LLC

Calculating rank

USPTO Granted Patents = 12

% Expired Patents = 16.7

Forward Citations = 22

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14 inventors (with patents filed for the assignee):

Biplab Pal (12 out of 16 patents)

Amit Purohit (3 out of 3 patents)

James Zinski (2 out of 13 patents)

4. Steve Gillmeister (1 out of 3 patents)

5. Anshul Bansal (1 out of 1 patent)

6. Sneha Dutta (1 out of 1 patent)

7. Soumya Boral (1 out of 1 patent)

8. Pratyay Karar (1 out of 1 patent)

9. Abhisek Dey (1 out of 1 patent)

10. Steven Gillmeister (1 out of 1 patent)

11. Neeraj Nagi (1 out of 1 patent)

12. Amit Chakrabarty (1 out of 1 patent)

13. Utpal Manna (1 out of 1 patent)

14. Maniruz Zaman (1 out of 1 patent)

12 patents: Sort by Forward Citations

1. 11162837 - Detecting faults in rotor driven equipment (2021-11-02),

2. 11092466 - Internet of things based conveyance having predictive maintenance (2021-08-17),

3. 11002269 - Real time machine learning based predictive and preventive maintenance of vacuum pump (2021-05-11),

4. 10969356 - Methods for measuring real-time dew-point value and total moisture content of material to be molded or extruded (2021-04-06),

5. 10959077 - Preventive maintenance and failure cause determinations in turbomachinery (2021-03-23),

6. 10921792 - Edge cloud-based resin material drying system and method (2021-02-16),

7. 10648735 - Machine learning based predictive maintenance of a dryer (2020-05-12),

8. 10638295 - System and method for turbomachinery preventive maintenance and root cause failure determination (2020-04-28),

9. 10613046 - Method for accurately measuring real-time dew-point value and total moisture content of a material (2020-04-07),

10. 10599982 - Internet of things based determination of machine reliability and automated maintainenace, repair and operation (MRO) logs (2020-03-24),

11. 10598520 - Method and apparatus for pneumatically conveying particulate material including a user-visible IoT-based classification and predictive maintenance system noting maintenance state as being acceptable, cautionary, or dangerous (2020-03-24),

12. 10481195 - Distributed IoT based sensor analytics for power line diagnosis (2019-11-19),

Company Overview

Machinesense, LLC, based in Baltimore, MD, specializes in advanced predictive maintenance solutions for industrial machinery. The company focuses on leveraging cutting-edge technologies, including IoT and machine learning, to enhance operational efficiency and reduce downtime in manufacturing environments. By providing actionable insights through data analytics, Machinesense aims to transform traditional maintenance practices, ensuring that businesses can optimize their asset performance and extend equipment lifespan.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

12 Patents

#44 in Baltimore, MD

#354 in Maryland

#25,589 in US

#48,235 in the World

Baltimore, MD, United States of America

Machinesense, LLC

Forward Citations = 22

14 inventors:

Biplab Pal (12 out of 16 patents)

Amit Purohit (3 out of 3 patents)

James Zinski (2 out of 13 patents)

4. Steve Gillmeister (1 out of 3 patents)

5. Anshul Bansal (1 out of 1 patent)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Machinesense, LLC. Retrieved from https://idiyas.com/company/machinesense

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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