Zineone, Inc.

Calculating rank

USPTO Granted Patents = 5

Forward Citations = 7

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6 inventors (with patents filed for the assignee):

Manish Malhotra (5 out of 8 patents)

Siddartha Sikdar (2 out of 4 patents)

Aurobindo Sarkar (2 out of 3 patents)

4. Arnab Mukherjee (2 out of 2 patents)

5. Priya Saha (1 out of 1 patent)

6. Aurobindo Sarkar (1 out of 1 patent)

5 patents: Sort by Forward Citations

1. 12205052 - Network computer system using sequence invariant model to predict user actions (2025-01-21),

2. 11853914 - Distributed architecture for enabling machine-learned event analysis on end user devices (2023-12-26),

3. 11846749 - Network weather intelligence system (2023-12-19),

4. 11113615 - Real-time event analysis utilizing relevance and sequencing (2021-09-07),

5. 10846604 - Session monitoring for selective intervention (2020-11-24),

Company Overview

ZineOne, Inc. is a leading AI-powered Customer Engagement Hub that enables businesses to deliver real-time, personalized customer experiences. Their platform leverages artificial intelligence and machine learning to provide smart recommendations, individualized messaging, and personalized notifications to enhance customer engagement and drive sales. With ZineOne, businesses can create seamless omni-channel experiences that deliver the right message to the right customer at the right time.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

5 Patents

#138 in Milpitas, CA

#12,079 in California

#51,669 in US

Milpitas, CA, United States of America

Zineone, Inc.

Forward Citations = 7

6 inventors:

Manish Malhotra (5 out of 8 patents)

Siddartha Sikdar (2 out of 4 patents)

Aurobindo Sarkar (2 out of 3 patents)

4. Arnab Mukherjee (2 out of 2 patents)

5. Priya Saha (1 out of 1 patent)

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

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]