For the Inventor, By the Inventor

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New York, NY, United States of America

Inveniam Capital Partners, Inc.

Calculating rank

USPTO Granted Patents = 47

Trademarks = 2

Forward Citations = 406

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19 inventors (with patents filed for the assignee):

Paul Snow (44 out of 57 patents)

Brian Deery (10 out of 17 patents)

Mahesh Paolini-Subramanya (8 out of 25 patents)

4. Jason Nadeau (5 out of 10 patents)

5. Patrick D O'Meara (5 out of 6 patents)

6. Richard Gates Bunker, Jr (3 out of 3 patents)

7. Gavin Gillas (2 out of 2 patents)

8. Valérie Beaudoin (2 out of 3 patents)

9. Evin T Grano (2 out of 4 patents)

10. Charles T Shotton (2 out of 6 patents)

11. Christos Alkiviadis Polyzois (2 out of 22 patents)

12. Quentin Vidal (2 out of 2 patents)

13. Kevin M Cuddeback (2 out of 2 patents)

14. Clay Douglass (2 out of 2 patents)

15. Jeannette L Spaulding (1 out of 1 patent)

Core Competencies:

Data Backups

Federated Learning

Smart Contracts

Load Balancing

Blockchain Transactions

Document Authenticity

Digital Contracts

Cryptocurrency Coinage

Self-Referencing Data

Proof-of-Work

RAM Hashing

Auditing

47 patents: Sort by Forward Citations

1. 12647291 - Data backups using multiple blockchains (2026-06-02),

2. 12597066 - Federated data room server and method for use in blockchain environments (2026-04-07),

3. 12580782 - Systems and methods for processing blockchain transactions (2026-03-17),

4. 12519848 - Load balancing in blockchain environments (2026-01-06),

5. 12511314 - Transactional sharding of blockchain transactions (2025-12-30),

6. 12341906 - Validating authenticity of electronic documents shared via computer networks (2025-06-24),

7. 12231566 - Apparatus and methods for producing data structures having internal self-references suitable for immutably representing and verifying data (2025-02-18),

8. 12231535 - RAM hashing in blockchain environments (2025-02-18),

9. 12225107 - Separating hashing from proof-of-work in blockchain environments (2025-02-11),

10. 12192371 - Artificial intelligence modifying federated learning models (2025-01-07),

11. 12137179 - Systems and methods for processing blockchain transactions (2024-11-05),

12. 12118541 - Recordation of device usage to blockchains (2024-10-15),

13. 12008526 - Computer system and method for programmatic collateralization services (2024-06-11),

14. 12008015 - Import and export in blockchain environments (2024-06-11),

15. 12007972 - Systems and methods for processing blockchain transactions (2024-06-11),

Company Overview

Inveniam Capital Partners, Inc. is a New York-based firm specializing in advanced blockchain technologies and digital contract solutions. The company focuses on developing innovative applications of smart contracts, RAM hashing, and artificial intelligence to enhance transactional efficiency and security. By leveraging federated learning models and transactional sharding, Inveniam aims to transform how data is managed and utilized across various sectors, driving forward the evolution of decentralized finance and digital asset management.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

47 Patents

#205 in New York, NY

#465 in New York

#7,448 in US

#14,840 in the World

New York, NY, United States of America

Inveniam Capital Partners, Inc.

Forward Citations = 406

19 inventors:

Paul Snow (44 out of 57 patents)

Brian Deery (10 out of 17 patents)

Mahesh Paolini-Subramanya (8 out of 25 patents)

4. Jason Nadeau (5 out of 10 patents)

5. Patrick D O'Meara (5 out of 6 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Inveniam Capital Partners, Inc.. Retrieved from https://idiyas.com/company/inveniam-capital-partners

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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