For the Inventor, By the Inventor

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Boston, MA, United States of America

Toast, Inc.

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USPTO Granted Patents = 70

Trademarks = 15

Forward Citations = 370

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43 inventors (with patents filed for the assignee):

Oleg Golberg (15 out of 15 patents)

Boon Ping Ng (11 out of 11 patents)

Yueyue Wang (11 out of 11 patents)

4. Benjamin Gordon (10 out of 10 patents)

5. Alan Z Zhao (9 out of 9 patents)

6. Ronald Vick (8 out of 9 patents)

7. Toshit Panigrahi (7 out of 7 patents)

8. Steven Paul Papa (6 out of 120 patents)

9. Lori R Tavis (6 out of 6 patents)

10. Gaurav Nakhare (5 out of 5 patents)

11. Stephen Fredette (5 out of 5 patents)

12. Jared J Rand (4 out of 4 patents)

13. Alexander H Hails (4 out of 4 patents)

14. Tom Hanley (4 out of 4 patents)

15. Chance Ashley Kirsch (4 out of 4 patents)

Core Competencies:

Dynamic Prediction

Transaction Handoff

Credit Card Processing

Point-Of-Sale Terminal

Interchange Code Prediction

Order Management

Facial Recognition

Automated Capital Origination

Multi-Restaurant System

User-Adaptive Management

Network Device

Mobile Terminal

70 patents: Sort by Forward Citations

1. D1157030 - Printer (2026-11-10),

2. D1155662 - Payment reader (2026-10-27),

3. D1155661 - Payment reader (2026-10-27),

4. 12518131 - Deep learning system for dynamic prediction of order preparation times (2026-01-06),

5. D1084115 - Electronic device (2025-07-15),

6. 12067547 - Point-of-sale terminal for transaction handoff and completion employing indirect token (2024-08-20),

7. 12002022 - Interchange code prediction system for processing credit card transactions (2024-06-04),

8. 11983731 - Optimized interchange code prediction system for processing credit card transactions (2024-05-14),

9. 11915220 - Point-of-sale terminal for dynamic mode management of multiple card readers (2024-02-27),

10. 11861666 - Stochastic apparatus and method for estimating credit card type when predicting interchange code to process credit card transactions (2024-01-02),

11. 11816650 - Point-of-sale system for dynamic mode management of multiple card readers (2023-11-14),

12. 11775969 - Low latency bank card type prediction system for estimation of interchange codes during transaction processing (2023-10-03),

13. 11748728 - Apparatus and method for dynamic adaptation of credit card reader communications protocols (2023-09-05),

14. 11651344 - System and method for transaction handoff and completion employing indirect token (2023-05-16),

15. 11651342 - Point-of-sale terminal for transaction handoff and completion employing ephemeral token (2023-05-16),

Company Overview

Toast, Inc. is a technology company based in Boston, MA, specializing in point-of-sale systems tailored for the restaurant industry. The company develops innovative solutions that enhance transaction efficiency and customer experience through advanced technologies such as dynamic prediction and facial recognition. Toast's offerings include comprehensive order management and credit card processing systems, enabling restaurants to streamline operations and improve service delivery. Their focus on automated capital origination further supports businesses in managing financial transactions effectively.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Nov 10 2026

70 Patents

#39 in Boston, MA

#293 in Massachusetts

#5,259 in US

#10,659 in the World

Boston, MA, United States of America

Toast, Inc.

Forward Citations = 370

43 inventors:

Oleg Golberg (15 out of 15 patents)

Boon Ping Ng (11 out of 11 patents)

Yueyue Wang (11 out of 11 patents)

4. Benjamin Gordon (10 out of 10 patents)

5. Alan Z Zhao (9 out of 9 patents)

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

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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