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Cambridge, MA, United States of America

Nference, Inc.

Calculating rank

USPTO Granted Patents = 37

EPO Patents = 2

Trademarks = 1

Forward Citations = 117

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48 inventors (with patents filed for the assignee):

Murali Aravamudan (25 out of 185 patents)

Ajit Rajasekharan (15 out of 85 patents)

Venkataramanan Soundararajan (15 out of 26 patents)

4. Rakesh Barve (13 out of 133 patents)

5. Akash Anand (10 out of 10 patents)

6. Sankar Ardhanari (9 out of 32 patents)

7. Karthik Murugadoss (9 out of 9 patents)

8. Tyler Wagner (6 out of 11 patents)

9. Arjun Puranik (6 out of 17 patents)

10. Shamim A Naqvi (4 out of 108 patents)

11. Samir Awasthi (4 out of 16 patents)

12. Purushottam Sinha (3 out of 3 patents)

13. Aravind Srinivasan (2 out of 10 patents)

14. Aiveliagaram J Venkatakrishnan (2 out of 2 patents)

15. Dibakar Saha (2 out of 2 patents)

Core Competencies:

Obfuscated Data

Data Structure

Semantic Space

Clinical Information

Private Healthcare

Machine Learning

Data Anonymization

Patient Data

Linguistic Entities

Medical Images

Drug Clustering

Viral Infection

37 patents: Sort by Forward Citations

1. 12776419 - Method of and system for detection of durability of antibody response to vaccination (2026-10-27),

2. 12762418 - Apparatus and methods for expanding clinical cohorts for improved efficacy of supervised learning (2026-10-13),

3. 12717819 - Apparatus and methods for generating obfuscated data within a computing environment (2026-08-25),

4. 12700481 - Apparatus and method for responding to a user query by generating a data structure (2026-08-04),

5. 12675493 - Systems and methods for mapping a term to a vector representation in a semantic space (2026-07-07),

6. 12658289 - Systems and methods for retrieving clinical information based on clinical patient data (2026-06-16),

7. 12619782 - Systems and methods for computing with private healthcare data (2026-05-05),

8. 12530498 - Apparatus and a method for the anonymization of user data (2026-01-20),

9. 12518099 - System to identify size and location information from unstructured inputs (2026-01-06),

10. 12468954 - Apparatus and method for optimizing an operation using a deviation (2025-11-11),

11. 12430378 - Apparatus and method for note data analysis to identify unmet needs and generation of data structures (2025-09-30),

12. 12406136 - Method and system for determining relationships between linguistic entities (2025-09-02),

13. 12347570 - Apparatus and methods for attribute detection in anatomy data (2025-07-01),

14. 12333393 - Systems and methods for adaptively improving the performance of locked machine learning programs (2025-06-17),

15. 12259864 - Apparatus and method for training a machine learning model (2025-03-25),

Company Overview

Nference, Inc. is a technology company based in Cambridge, MA, specializing in advanced artificial intelligence and machine learning solutions for the life sciences sector. The organization focuses on transforming vast amounts of biomedical data into actionable insights, facilitating drug discovery and development processes. By leveraging its proprietary platform, Nference aims to enhance research capabilities and accelerate innovation in healthcare, ultimately improving patient outcomes through data-driven decision-making.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

37 Patents

#77 in Cambridge, MA

#540 in Massachusetts

#9,276 in US

#18,312 in the World

Cambridge, MA, United States of America

Nference, Inc.

Forward Citations = 117

48 inventors:

Murali Aravamudan (25 out of 185 patents)

Ajit Rajasekharan (15 out of 85 patents)

Venkataramanan Soundararajan (15 out of 26 patents)

4. Rakesh Barve (13 out of 133 patents)

5. Akash Anand (10 out of 10 patents)

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

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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