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For the Inventor, By the Inventor

San Francisco, CA, United States of America

Rain Neuromorphics Inc.

USPTO Granted Patents = 16

Forward Citations = 25

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9 inventors (with patents filed for the assignee):

goldMedal Jack David Kendall (13 out of 21 patents)

silverMedal Suhas Kumar (5 out of 6 patents)

bronzeMedal Alexander Almela Conklin (4 out of 6 patents)

4.  Mohammed Elneanaei Abdelmoneem Fouda (3 out of 8 patents)

5.  Nikita Gaur (2 out of 2 patents)

6.  Muzaffer Kal (1 out of 5 patents)

7.  Burak Erbagci (1 out of 3 patents)

8.  Cagri Eryilmaz (1 out of 1 patent)

9.  Nawab Ali (1 out of 2 patents)


16 patents:

1. 12536118 - Tiled in-memory computing architecture (2026-01-27),
2. 12271439 - Flexible compute engine microarchitecture (2025-04-08),
3. 12223009 - Systems and methods for efficient matrix multiplication (2025-02-11),
4. 12210957 - Local training of neural networks (2025-01-28),
5. 12159683 - Methods for efficient 3D SRAM-based compute-in-memory (2024-12-03),
6. 12112267 - Learning in time varying, dissipative electrical networks (2024-10-08),
7. 12069869 - Memristive device (2024-08-20),
8. 12026623 - Machine learning using gradient estimate determined using improved perturbations (2024-07-02),
9. 11922296 - Electrical networks using analytic loss gradients for design, analysis and machine learning (2024-03-05),
10. 11755890 - Local training of neural networks (2023-09-12),
11. 11615316 - Machine learning using gradient estimate determined using improved perturbations (2023-03-28),
12. 11599781 - Lithographic memristive array (2023-03-07),
13. 11551091 - Learning in time varying, dissipative electrical networks (2023-01-10),
14. 11450712 - Memristive device (2022-09-20),
15. 10990651 - Systems and methods for efficient matrix multiplication (2021-04-27),
Company Overview
Rain Neuromorphics Inc. is a technology company based in San Francisco, specializing in advanced neuromorphic computing solutions. The organization focuses on developing innovative hardware and software systems that mimic the neural structure and functioning of the human brain. By leveraging principles from neuroscience, Rain aims to enhance machine learning and artificial intelligence applications, providing efficient and scalable solutions for various industries, including robotics, autonomous systems, and data processing.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Oct 20 2026

16 Patents

#296 in San Francisco, CA

#4,777 in California

#19,935 in US

#37,868 in the World

San Francisco, CA (US)
San Francisco, CA, United States of America

Rain Neuromorphics Inc.

Forward Citations = 25

9 inventors:

goldMedal Jack David Kendall (13 out of 21 patents)

silverMedal Suhas Kumar (5 out of 6 patents)

bronzeMedal Alexander Almela Conklin (4 out of 6 patents)

4.  Mohammed Elneanaei Abdelmoneem Fouda (3 out of 8 patents)

5.  Nikita Gaur (2 out of 2 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Rain Neuromorphics Inc.. Retrieved from https://idiyas.com/company/rain-neuromorphics

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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