For the Inventor, By the Inventor

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New York, NY, United States of America

Xad, Inc.

USPTO Granted Patents = 35

EPO Patents = 2

Trademarks = 18

Forward Citations = 102

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40 inventors (with patents filed for the assignee):

Can Liang (19 out of 19 patents)

Huitao Luo (19 out of 36 patents)

Pravesh Katyal (16 out of 16 patents)

4. Prakash Muttineni (14 out of 15 patents)

5. Shashi Seth (11 out of 11 patents)

6. Yilin Chen (10 out of 10 patents)

7. Srihari Venkatesan (10 out of 11 patents)

8. Hari Venkatesan (8 out of 8 patents)

9. Saravana Ravindran (8 out of 8 patents)

10. Shanshan Tuo (7 out of 7 patents)

11. Dipanshu Sharma (7 out of 8 patents)

12. Chi-Chao Chang (6 out of 7 patents)

13. Mauricio Mediano (6 out of 7 patents)

14. Yi Jia (5 out of 5 patents)

15. Jingqi Huang (4 out of 4 patents)

Core Competencies:

Mobile Entities

Information Delivery

Location Prediction

Geo-Fencing

Data Segmentation

Dynamic Geo-Blocks

Targeted Events

Real-Time Tracking

Big Data

Mobile Advertising

User Location

Public Information

35 patents: Sort by Forward Citations

1. 12367247 - System and method for segmenting mobile entities based on detected mobile events (2025-07-22),

2. 12356276 - Systems and methods for pacing information delivery to mobile devices (2025-07-08),

3. 12160794 - Using on-line and off-line projections to control information delivery to mobile devices (2024-12-03),

4. 12133136 - Systems and methods for mobile device location prediction (2024-10-29),

5. 12075314 - Method and apparatus for dynamic geo-fencing (2024-08-27),

6. 11921800 - System and method for segmenting mobile entities based on mobile device signals (2024-03-05),

7. 11743679 - Systems and methods for pacing information delivery to mobile devices (2023-08-29),

8. 11683655 - Systems and methods for predicting mobile device locations using processed mobile device signals (2023-06-20),

9. 11622229 - System and method of forecasting based on periodical sketching of big data of observations (2023-04-04),

10. 11593442 - System and method for segmenting mobile entities based on mobile device signals (2023-02-28),

11. 11587119 - Method and apparatus for impressing publicly displayed information on mobile devices (2023-02-21),

12. 11570583 - Method and apparatus for dynamic geo-fencing (2023-01-31),

13. 11367102 - Using on-line and off-line projections to control information delivery to mobile devices (2022-06-21),

14. 11343648 - Systems and methods for location tracking using dynamically generated geo data (2022-05-24),

15. 11172324 - Systems and methods for predicting targeted location events (2021-11-09),

Company Overview

Xad, Inc. is a technology company based in New York, specializing in advanced data analytics and digital advertising solutions. The organization focuses on leveraging big data to enhance marketing strategies and improve customer engagement across various platforms. With a commitment to innovation, Xad develops tools that enable businesses to optimize their advertising efforts through targeted insights and real-time analytics. Their expertise spans multiple industries, making them a key player in the evolving landscape of digital marketing technology.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

35 Patents

#254 in New York, NY

#590 in New York

#9,749 in US

#19,168 in the World

New York, NY, United States of America

Xad, Inc.

Forward Citations = 102

40 inventors:

Can Liang (19 out of 19 patents)

Huitao Luo (19 out of 36 patents)

Pravesh Katyal (16 out of 16 patents)

4. Prakash Muttineni (14 out of 15 patents)

5. Shashi Seth (11 out of 11 patents)

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

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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