For the Inventor, By the Inventor

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Washington, DC, United States of America

Mapbox, Inc.

USPTO Granted Patents = 57

Trademarks = 8

Forward Citations = 45

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52 inventors (with patents filed for the assignee):

Saman Bemel-Benrud (8 out of 8 patents)

Morgan Herlocker (8 out of 8 patents)

Ansis Ingus Brammanis (7 out of 7 patents)

4. Lily Chai (7 out of 7 patents)

5. Nicki Zippora Dlugash (7 out of 7 patents)

6. Damon Burgett (6 out of 6 patents)

7. Eden Halperin (5 out of 5 patents)

8. Thomas Christopher MacWright (5 out of 5 patents)

9. Laurier Rochon (4 out of 4 patents)

10. Christopher Jacob Loer (4 out of 4 patents)

11. Molly Lloyd (4 out of 4 patents)

12. Dana Alexander Sulit (3 out of 3 patents)

13. Aleksandr Buslaev (3 out of 3 patents)

14. Brennan Boblett (3 out of 7 patents)

15. Ugo Vollmer (3 out of 3 patents)

Core Competencies:

Map Tile Culling

Dynamic Building Extrusion

Geographic Route Trace

Telemetry Data

Neural Network Classifier

Augmented Reality

Label Insertion

Polygon Data Generation

Speed Estimations

Terrain Openness

Map Feature Extraction

Digital Map Styling

57 patents: Sort by Forward Citations

1. 12548240 - Map tile culling for displaying globe representations in an electronic map system (2026-02-10),

2. 12392629 - Viewport system for dynamically framing of a map based on updating data (2025-08-19),

3. 12182675 - Stationary classifier for geographic route trace data (2024-12-31),

4. 12175598 - Efficient graphical element top surface rendering in digital map (2024-12-24),

5. 12141919 - Dynamic building extrusion in electronic maps (2024-11-12),

6. 11823329 - Efficient graphical element top surface rendering in digital map (2023-11-21),

7. 11790603 - Dynamic building extrusion in electronic maps (2023-10-17),

8. 11686590 - Correcting speed estimations using aggregated telemetry data (2023-06-27),

9. 11657327 - Stationary classifier for geographic route trace data (2023-05-23),

10. 11638119 - Neural network classifier for detection of travel mode associated with computing devices (2023-04-25),

11. 11593593 - Low power consumption deep neural network for simultaneous object detection and semantic segmentation in images on a mobile computing device (2023-02-28),

12. 11562495 - Identifying spatial locations of images using location data from mobile devices (2023-01-24),

13. 11486717 - Generating navigation instructions based on digital map context (2022-11-01),

14. 11461976 - Visualization transitions for augmented reality (2022-10-04),

15. 11461945 - Multi-phase label placement process for rendering map tiles (2022-10-04),

Company Overview

Mapbox, Inc. is a leading provider of digital mapping technology, specializing in innovative solutions for geographic data visualization and analysis. Headquartered in Washington, DC, the company focuses on advanced technologies such as map tile culling, dynamic building extrusion, and geographic route tracing. Mapbox leverages telemetry data and neural network classifiers to enhance user experiences in augmented reality and improve label insertion and polygon data generation. Its tools are widely utilized across various industries, enabling developers to create custom mapping solutions.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 6 2026

57 Patents

#31 in Washington, DC

#31 in District of Columbia

#6,244 in US

#12,552 in the World

Washington, DC, United States of America

Mapbox, Inc.

Forward Citations = 45

52 inventors:

Saman Bemel-Benrud (8 out of 8 patents)

Morgan Herlocker (8 out of 8 patents)

Ansis Ingus Brammanis (7 out of 7 patents)

4. Lily Chai (7 out of 7 patents)

5. Nicki Zippora Dlugash (7 out of 7 patents)

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

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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