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New York, NY, United States of America

Reservoir Labs, Inc.

USPTO Granted Patents = 57

% Expired Patents = 8.8

Trademarks = 5

Forward Citations = 414

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32 inventors (with patents filed for the assignee):

Richard A Lethin (36 out of 52 patents)

Benoit J Meister (28 out of 39 patents)

Muthu Manikandan Baskaran (21 out of 33 patents)

4. Jordi Ros-Giralt (14 out of 18 patents)

5. Thomas Henretty (14 out of 23 patents)

6. Nicolas T Vasilache (11 out of 17 patents)

7. Benoit Pradelle (10 out of 15 patents)

8. James Ezick (10 out of 17 patents)

9. M H Langston (9 out of 11 patents)

10. Paul Declan Mountcastle (9 out of 21 patents)

11. David E Wohlford (8 out of 9 patents)

12. Ann Johnson (7 out of 11 patents)

13. Athanasios Konstantinidis (7 out of 10 patents)

14. Janice O Mcmahon (7 out of 11 patents)

15. Allen K Leung (7 out of 7 patents)

Core Competencies:

Data Center Networks

Bottleneck Structures

Network Analysis

Tensor Decompositions

Memory Management

Quality of Service

Data Transfer Optimization

Asynchronous Task Management

Energy Proportional Scheduling

Parallel Computing

Communication Minimization

Software Optimization

57 patents: Sort by Forward Citations

1. 12218802 - Data center networks using bottleneck structures (2025-02-04),

2. 12137051 - Network analysis and management based on a quantitative theory of bottleneck structures (2024-11-05),

3. 11805034 - Systems and methods for detecting large network flows (2023-10-31),

4. 11755684 - Systems and methods for memory efficient parallel tensor decompositions (2023-09-12),

5. 11704332 - Systems and methods for configuring system memory for extraction of latent information from big data (2023-07-18),

6. 11704153 - Systems and methods for multiresolution priority queues (2023-07-18),

7. 11693636 - Static versioning in the polyhedral model (2023-07-04),

8. 11588747 - Systems and methods for providing lockless bimodal queues for selective packet capture (2023-02-21),

9. 11579905 - Systems and methods for automatic data management for an asynchronous task-based runtime (2023-02-14),

10. 11522807 - Computationally efficient analysis and management of systems modeled as networks (2022-12-06),

11. 11500621 - Methods and apparatus for data transfer optimization (2022-11-15),

12. 11500557 - Systems and methods for energy proportional scheduling (2022-11-15),

13. 11481329 - Optimizing memory bandwidth in spatial architectures (2022-10-25),

14. 11398984 - Systems and methods for quality of service (QoS) based management of bottlenecks and flows in networks (2022-07-26),

15. 11372629 - Systems and methods for tensor scheduling (2022-06-28),

Company Overview

Reservoir Labs, Inc., based in New York, specializes in advanced network optimization technologies. The company focuses on enhancing data center networks through innovative solutions that address bottleneck structures and improve network analysis. Their expertise extends to tensor decompositions, memory management, and quality of service, enabling efficient data transfer optimization and asynchronous task management. Reservoir Labs is dedicated to pushing the boundaries of network performance, ensuring robust and scalable solutions for modern computing environments.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

57 Patents

#170 in New York, NY

#379 in New York

#6,249 in US

#12,563 in the World

New York, NY, United States of America

Reservoir Labs, Inc.

Forward Citations = 414

32 inventors:

Richard A Lethin (36 out of 52 patents)

Benoit J Meister (28 out of 39 patents)

Muthu Manikandan Baskaran (21 out of 33 patents)

4. Jordi Ros-Giralt (14 out of 18 patents)

5. Thomas Henretty (14 out of 23 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Reservoir Labs, Inc.. Retrieved from https://idiyas.com/company/reservoir-labs

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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