For the Inventor, By the Inventor

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San Francisco, CA, United States of America

Maplebear Inc.

Calculating rank

USPTO Granted Patents = 355

CIPO Patents = 1

EPO Patents = 3

Trademarks = 106

Forward Citations = 116

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532 inventors (with patents filed for the assignee):

Tejaswi Tenneti (32 out of 32 patents)

Brent Scheibelhut (31 out of 33 patents)

Shishir Kumar Prasad (22 out of 22 patents)

4. Yilin Huang (21 out of 24 patents)

5. Haixun Wang (20 out of 24 patents)

6. Mark Oberemk (20 out of 21 patents)

7. Lin Gao (19 out of 25 patents)

8. Sharath Rao Karikurve (18 out of 18 patents)

9. Shiyuan Yang (17 out of 20 patents)

10. Naval Shah (17 out of 17 patents)

11. Tyler Russell Tate (16 out of 16 patents)

12. Taesik Na (15 out of 18 patents)

13. Ramasubramanian Balasubramanian (15 out of 15 patents)

14. Charles Wesley (15 out of 17 patents)

15. Saurav Manchanda (14 out of 14 patents)

Core Competencies:

Delivery Prediction

User Engagement

Inventory Optimization

Personalized Recommendations

Data Generation

Augmented Reality

Automated Systems

User Interface Design

Item Availability

Shopping Carts

Recommendation Systems

Fraud Detection

355 patents: Sort by Forward Citations

1. 12770179 - Method, computer program product, and system for selecting an item for inclusion in an order from a user of an online concierge (2026-10-20),

2. 12770178 - Machine learned model for selecting actions for fulfilling order with out-of-stock items (2026-10-20),

3. 12770174 - Search relevance model using self-adversarial negative sampling (2026-10-20),

4. 12770101 - Fine-tuning language models to associate scanned text labels and item names (2026-10-20),

5. 12769966 - Subregion transformation for label decoding by an automated checkout system (2026-10-20),

6. 12769782 - Using artificial intelligence agents for servicing search queries (2026-10-20),

7. D1153281 - Display panel of a programmed computer system with a graphical user interface (2026-10-13),

8. 12762605 - Automatic routing of user inquiries using machine-learning models (2026-10-13),

9. 12762598 - Training data generation by bucketing users based on output of a contextual bandit model (2026-10-13),

10. 12762561 - User application for item scanning and self-checkout (2026-10-13),

11. 12762526 - System for item recognition using computer vision (2026-10-13),

12. 12762486 - Predicting shopper supply during a time interval based on interactions by shoppers with a shopper assignment application during earlier time intervals (2026-10-13),

13. 12762365 - Image-based barcode decoding (2026-10-13),

14. D1151670 - Programmed computer system display panel with a shopping cart graphical user interface (2026-10-06),

15. D1151631 - Display panel of a programmed computer system with a graphical user interface (2026-10-06),

Company Overview

Maplebear Inc., based in San Francisco, CA, specializes in leveraging machine learning to enhance various aspects of delivery services. The company focuses on developing advanced technologies for delivery prediction, user engagement, and inventory optimization. By utilizing personalized recommendations and data generation techniques, Maplebear aims to improve user experiences and operational efficiency. Additionally, the organization explores augmented reality and automated systems to innovate user interface design, positioning itself at the forefront of the evolving logistics landscape.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

355 Patents

#22 in San Francisco, CA

#268 in California

#1,285 in US

#2,586 in the World

San Francisco, CA, United States of America

Maplebear Inc.

Forward Citations = 116

532 inventors:

Tejaswi Tenneti (32 out of 32 patents)

Brent Scheibelhut (31 out of 33 patents)

Shishir Kumar Prasad (22 out of 22 patents)

4. Yilin Huang (21 out of 24 patents)

5. Haixun Wang (20 out of 24 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Maplebear Inc.. Retrieved from https://idiyas.com/company/maplebear

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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