For the Inventor, By the Inventor

Enter assignee name

Cambridge, MA, United States of America

Anumana, Inc.

USPTO Granted Patents = 49

Trademarks = 4

Forward Citations = 13

where 'Filed Patents' based on already Granted Patents

where 'Inventors Filed' based on already Granted Patents

54 inventors (with patents filed for the assignee):

Rakesh Barve (24 out of 107 patents)

Suthirth Vaidya (16 out of 18 patents)

Uddeshya Upadhyay (11 out of 12 patents)

4. Rohit Jain (10 out of 17 patents)

5. Arjun Puranik (10 out of 14 patents)

6. Abhijith Chunduru (10 out of 12 patents)

7. Animesh Agarwal (10 out of 10 patents)

8. Sai Saketh Chennamsetty (9 out of 10 patents)

9. Murali Aravamudan (8 out of 176 patents)

10. Ashim Prasad (8 out of 10 patents)

11. Padmaja Narsipur (6 out of 18 patents)

12. Koduvayur Ramakrishnan Subramanyan (6 out of 16 patents)

13. Sairam Bade (6 out of 6 patents)

14. Karthik K Bharadwaj (6 out of 6 patents)

15. Shashi Kant (6 out of 6 patents)

49 patents: Sort by Forward Citations

1. 12475379 - Systems and methods for training multimodal self-supervised models (2025-11-18),

2. 12465263 - Apparatus and method for dynamically determining a label for a cardiac potential signal via simulation of neural network trained data (2025-11-11),

3. 12462478 - Apparatus and method for generating a three-dimensional (3D) model of cardiac anatomy with an overlay (2025-11-04),

4. 12461797 - Apparatus and method for unpaired time series data translation (2025-11-04),

5. 12453518 - Apparatus and method for validating labeled data generated by a prediction generator (2025-10-28),

6. 12433526 - Method and system for measuring electrogram fractionation (2025-10-07),

7. 12424334 - Apparatus and method for generating pseudo-electrogram (EGM) data from electrocardiogram (ECG) data (2025-09-23),

8. 12399932 - Apparatus and methods for visualization within a three-dimensional model using neural networks (2025-08-26),

9. 12387852 - Apparatus and method for generating clinical decision support (2025-08-12),

10. 12387365 - Apparatus and method for object pose estimation in a medical image (2025-08-12),

11. 12387100 - Apparatus and methods for labeling time-series data using machine learning models (2025-08-12),

12. 12381008 - System and methods for observing medical conditions (2025-08-05),

13. 12376777 - Systems and methods for transforming electrocardiogram images for use in one or more machine learning models (2025-08-05),

14. 12374438 - Apparatus and methods for prediction of repeat ablation efficacy (2025-07-29),

15. 12369841 - Method and system for calculating conduction velocity of a cardiac activation wavefront (2025-07-29),

Anumana, Inc. is a pioneering technology company specializing in advanced AI-driven solutions for healthcare diagnostics. Through the integration of machine learning and deep learning algorithms, Anumana aims to enhance the accuracy and efficiency of medical assessments. Their innovative platform leverages vast datasets to identify patterns and insights that assist healthcare providers in making informed decisions. Committed to improving patient outcomes, Anumana focuses on developing tools that empower clinicians to detect diseases earlier and tailor treatments effectively. The company collaborates with leading researchers and institutions to remain at the forefront of technological advancements in medicine and aims to revolutionize the healthcare landscape through its cutting-edge innovations.

This text is generated by artificial intelligence and may not be accurate.

Company Badge

USPTO Data Jan 1 1976 - Dec 2 2025

49 Patents

#45 in Cambridge, MA

#395 in Massachusetts

#6,902 in US

#13,836 in the World

Cambridge, MA, United States of America

Anumana, Inc.

Forward Citations = 13

54 inventors:

Rakesh Barve (24 out of 107 patents)

Suthirth Vaidya (16 out of 18 patents)

Uddeshya Upadhyay (11 out of 12 patents)

4. Rohit Jain (10 out of 17 patents)

5. Arjun Puranik (10 out of 14 patents)

Please report any incorrect information to support@idiyas.com

Loading…