Forward Citations = 4

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9 inventors (with patents filed for the assignee):

Shivam Bharadwaj (2 out of 2 patents)

Nitish Pant (2 out of 3 patents)

Abhishek Raj (2 out of 2 patents)

4. Soudip Roy Chowdhury (2 out of 6 patents)

5. Soudip RoyChowdhury (1 out of 1 patent)

6. Vaibhavi Joshi (1 out of 1 patent)

7. Sudarshan Wadkar (1 out of 1 patent)

8. Siddhesh Pisal (1 out of 1 patent)

9. Utkarsh Agarwal (1 out of 1 patent)

3 patents: Sort by Forward Citations

1. 11620202 - System and method for unsupervised anomaly prediction (2023-04-04),

2. 11409962 - System and method for automated insight curation and alerting (2022-08-09),

3. 11269752 - System and method for unsupervised anomaly prediction (2022-03-08),

Company Overview

Eugenie Technologies Private Limited is a technology company specializing in providing innovative digital solutions. With a focus on cutting-edge technologies such as artificial intelligence and machine learning, Eugenie Technologies aims to revolutionize industries across various sectors. Our services include software development, data analytics, and digital marketing, offering customized solutions to meet the unique needs of our clients.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 6 2026

3 Patents

#87 in Mumbai

#476 in India

Mumbai, India

Eugenie Technologies Private Limited

Forward Citations = 4

9 inventors:

Shivam Bharadwaj (2 out of 2 patents)

Nitish Pant (2 out of 3 patents)

Abhishek Raj (2 out of 2 patents)

4. Soudip Roy Chowdhury (2 out of 6 patents)

5. Soudip RoyChowdhury (1 out of 1 patent)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Eugenie Technologies Private Limited. Retrieved from https://idiyas.com/company/eugenie-technologies

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]