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San Francisco, CA, United States of America

Hover, Inc.

USPTO Granted Patents = 112

EPO Patents = 6

Trademarks = 3

Forward Citations = 511

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49 inventors (with patents filed for the assignee):

Adam J Altman (62 out of 62 patents)

Manish Upendran (54 out of 54 patents)

William Castillo (46 out of 46 patents)

4. Derek Halliday (28 out of 28 patents)

5. Ioannis Pavlidis (28 out of 28 patents)

6. Ajay Mishra (21 out of 21 patents)

7. Shaohui Sun (16 out of 16 patents)

8. Vineet Bhatawadekar (9 out of 10 patents)

9. Matthew Thomas (8 out of 18 patents)

10. Brandon Scott (8 out of 17 patents)

11. Jeffrey Scott Sommers (7 out of 33 patents)

12. Giridhar Murali (7 out of 23 patents)

13. Sarthak Sahu (7 out of 8 patents)

14. Roberto Klein (6 out of 6 patents)

15. Dario Rethage (6 out of 6 patents)

Core Competencies:

3D Reconstruction

Image Capture

Augmented Reality

Computer Vision

Building Modeling

Feature Estimation

Multi-Dimensional Geometry

Image Processing

Architectural Analysis

Virtual Representation

Path Tracing

Roof Outlines

112 patents: Sort by Forward Citations

1. 12755502 - Systems and methods for generating dimensionally coherent training data (2026-10-06),

2. 12755486 - Systems and methods for generating three dimensional geometry (2026-10-06),

3. 12737413 - Systems and methods for querying three-dimensional (3D) models using descriptors (2026-09-15),

4. 12705829 - Methods, storage media, and systems for generating a three-dimensional line segment (2026-08-11),

5. 12700202 - Methods, storage media, and systems for generating a three-dimensional coordinate system (2026-08-04),

6. 12695982 - Automated guide for image capturing for 3D model creation (2026-07-28),

7. 12695978 - Methods, storage media, and systems for selecting an optimal image frame within a capture window (2026-07-28),

8. 12694600 - Methods, storage media, and systems for selecting a pair of consistent real-world camera poses (2026-07-28),

9. 12684230 - Automated guide for image capturing for 3D model creation (2026-07-14),

10. 12610142 - Methods, storage media, and systems for detecting a persisting or sustained blur condition (2026-04-21),

11. 12573144 - 3D building model materials auto-populator (2026-03-10),

12. 12561900 - Trained machine learning model for estimating structure feature measurements (2026-02-24),

13. 12477229 - Systems and methods for image capture (2025-11-18),

14. 12469218 - Real-time processing of captured building imagery (2025-11-11),

15. 12462514 - 3-D reconstruction using augmented reality frameworks (2025-11-04),

Company Overview

Hover, Inc. is a technology company based in San Francisco, specializing in 3D model generation. The organization focuses on advanced techniques in 3D reconstruction and image capture, leveraging augmented reality and computer vision to create detailed building models. Their expertise encompasses feature estimation and multi-dimensional geometry, enabling innovative solutions in image processing. Hover's technology is designed to enhance various applications, particularly in architecture, construction, and real estate, by providing accurate and interactive visual representations.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 6 2026

112 Patents

#55 in San Francisco, CA

#774 in California

#3,427 in US

#7,051 in the World

San Francisco, CA, United States of America

Hover, Inc.

Forward Citations = 511

49 inventors:

Adam J Altman (62 out of 62 patents)

Manish Upendran (54 out of 54 patents)

William Castillo (46 out of 46 patents)

4. Derek Halliday (28 out of 28 patents)

5. Ioannis Pavlidis (28 out of 28 patents)

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

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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