Tokenize, Inc.

Calculating rank

USPTO Granted Patents = 5

Trademarks = 1

Forward Citations = 60

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8 inventors (with patents filed for the assignee):

Melanie Shapiro (4 out of 4 patents)

John Dvorak (3 out of 4 patents)

Stephen L Schultz (3 out of 91 patents)

4. Evan Krueger (2 out of 2 patents)

5. Steve Shapiro (2 out of 2 patents)

6. Michael Wade Allen (2 out of 28 patents)

7. Richard W Lourette (2 out of 12 patents)

8. David R Nilosek (1 out of 17 patents)

5 patents: Sort by Forward Citations

1. 12354339 - Biometric recognition and security system (2025-07-08),

2. 11138409 - Biometric recognition and security system (2021-10-05),

3. 10992664 - Biometric data hashing, verification and security (2021-04-27),

4. 10943000 - System and method for supplying security information (2021-03-09),

5. 10366220 - System and method for supplying security information (2019-07-30),

Company Overview

Tokenize, Inc. is a fintech company that specializes in digital asset management and blockchain technology solutions. They offer a secure platform for users to tokenize and trade various assets, including cryptocurrencies and real estate. With a focus on transparency and innovation, Tokenize, Inc. helps clients leverage the power of blockchain technology for financial growth and security.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

5 Patents

#116 in Rochester, NY

#3,134 in New York

#51,669 in US

Rochester, NY, United States of America

Tokenize, Inc.

Forward Citations = 60

8 inventors:

Melanie Shapiro (4 out of 4 patents)

John Dvorak (3 out of 4 patents)

Stephen L Schultz (3 out of 91 patents)

4. Evan Krueger (2 out of 2 patents)

5. Steve Shapiro (2 out of 2 patents)

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

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]