For the Inventor, By the Inventor

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South San Francisco, CA, United States of America

Stripe, Inc.

USPTO Granted Patents = 318

% Expired Patents = 0.63

EPO Patents = 4

Trademarks = 53

Forward Citations = 570

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466 inventors (with patents filed for the assignee):

Chi Wah Lo (22 out of 82 patents)

Jonathan Wall (21 out of 70 patents)

Hwai Sian Tsai (19 out of 47 patents)

4. Ji Huang (15 out of 20 patents)

5. Ross Favero (15 out of 15 patents)

6. Alexander Thiemann (13 out of 13 patents)

7. Peter Lofgren (12 out of 12 patents)

8. Eric Glass (12 out of 12 patents)

9. Ashish Goel (11 out of 32 patents)

10. Pranav Dandekar (10 out of 10 patents)

11. Brian David Krausz (10 out of 10 patents)

12. Michael Villar (10 out of 10 patents)

13. Ryan Drapeau (10 out of 10 patents)

14. Devesh Kumar Senapati (10 out of 10 patents)

15. Carl Jackson (9 out of 9 patents)

Core Competencies:

Fraud Detection

Payment Processing

Machine Learning

Electronic Authentication

Data Security

Identity Verification

Network Architecture

Transaction Management

User Authentication

Dynamic Platforms

Crypto-Onramp

Access Control

318 patents: Sort by Forward Citations

1. 12764151 - Systems and methods for generating embeddings of network event data to detect fraudulent behavior in networked environments (2026-10-13),

2. 12764037 - Systems and methods for using client system intelligence for distributed service system configuration (2026-10-13),

3. 12756712 - Managing access control using policy evaluation mode (2026-10-06),

4. 12755268 - Systems and methods for authentication of a user (2026-10-06),

5. 12754761 - Workflow orchestration based on idempotent activities and read-only activities (2026-10-06),

6. 12749064 - Systems and methods for terminal device attestation for contactless payments (2026-09-29),

7. 12748773 - Migrating from a primary datastore to a secondary datastore (2026-09-29),

8. 12744805 - Systems and methods for monitoring network traffic to identify cyberattacks (2026-09-22),

9. 12737764 - Merchant specific machine learning model for fraud detection (2026-09-15),

10. 12731048 - Machine learning model to estimate network costs (2026-09-08),

11. 12726512 - Systems and methods for identifying and addressing malicious network traffic based on network traffic lane activity (2026-09-01),

12. 12725162 - Techniques for handling card testing attacks (2026-09-01),

13. 12725150 - Systems and methods for controlling execution of operations across services distributed in networked environments via network operation protocols (2026-09-01),

14. 12719881 - Network of networks (2026-08-25),

15. 12719876 - Controlling access to data in a cloud-based software platform based on application authorization (2026-08-25),

Company Overview

Stripe, Inc. is a leading technology company based in South San Francisco, specializing in payment processing solutions for businesses of all sizes. The company focuses on developing advanced systems that facilitate secure online transactions, incorporating cutting-edge technologies such as machine learning for fraud detection and identity verification. Stripe's robust platform enhances electronic authentication and data security, ensuring a seamless transaction management experience while supporting a diverse range of payment methods globally.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

318 Patents

#5 in South San Francisco, CA

#297 in California

#1,386 in US

#2,825 in the World

South San Francisco, CA, United States of America

Stripe, Inc.

Forward Citations = 570

466 inventors:

Chi Wah Lo (22 out of 82 patents)

Jonathan Wall (21 out of 70 patents)

Hwai Sian Tsai (19 out of 47 patents)

4. Ji Huang (15 out of 20 patents)

5. Ross Favero (15 out of 15 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Stripe, Inc.. Retrieved from https://idiyas.com/company/stripe

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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