% Expired Patents = 14.3

Trademarks = 4

Forward Citations = 92

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10 inventors (with patents filed for the assignee):

James B VanderKelen (4 out of 4 patents)

Joseph M VanderKelen (2 out of 2 patents)

Jeffrey Allen Ewald (1 out of 2 patents)

4. James Evans (1 out of 1 patent)

5. Jeff Ewald (1 out of 1 patent)

6. Goesta Wollin (1 out of 1 patent)

7. William C Topham (1 out of 1 patent)

8. Donald R Koenig (1 out of 1 patent)

9. James L Dilworth (1 out of 6 patents)

10. William E Riskey (1 out of 1 patent)

7 patents: Sort by Forward Citations

1. 7290722 - Method and apparatus for making snow (2007-11-06),

2. 6223995 - Method for cooling golf greens and other vegetation (2001-05-01),

3. 5167367 - Snowmaking apparatus and methods (1992-12-01),

4. 4901920 - Snow making apparatus and methods (1990-02-20),

5. 4335658 - Downhill slide system (1982-06-22),

6. 4214700 - Method and apparatus for making snow for ski slopes and the like (1980-07-29),

7. 4202496 - Snow making system (1980-05-13),

Company Overview

Snow Machines, Inc. is a leading manufacturer of high-quality snow machines for entertainment and special effects industries. With years of experience, we provide top-of-the-line snow machines that are used in movies, theme parks, events, and more. Our innovative technology and reliable products have made us a trusted name in the industry.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

7 Patents

#15 in Midland, MI

#1,360 in Michigan

#39,907 in US

Midland, MI, United States of America

Snow Machines, Inc.

Forward Citations = 92

10 inventors:

James B VanderKelen (4 out of 4 patents)

Joseph M VanderKelen (2 out of 2 patents)

Jeffrey Allen Ewald (1 out of 2 patents)

4. James Evans (1 out of 1 patent)

5. Jeff Ewald (1 out of 1 patent)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Snow Machines, Inc.. Retrieved from https://idiyas.com/company/snow-machines

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]