Toronto, Canada

Mark Vidov

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Veeva Systems Inc.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mark Vidov. Retrieved from https://idiyas.com/inventor/mark-vidov

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Mark Vidov - Innovator in Data Management Systems

Introduction

Mark Vidov is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of data management through his innovative patent. His work focuses on enhancing the efficiency and accuracy of data searches, which is crucial in today's data-driven world.

Latest Patents

Mark Vidov holds a patent for a "System and method for database searching and reporting." This invention provides systems and methods for searching data management systems. Administrative users can define rules for hashtags, which are dynamically applied when an end user searches customer data. The use of hashtags allows for filtering records for specific data, thereby improving data search accuracy and efficiency. He has 1 patent to his name.

Career Highlights

Mark is currently employed at Veeva Systems Inc., where he continues to develop innovative solutions in data management. His expertise in creating efficient data search systems has positioned him as a valuable asset in his field.

Collaborations

Mark has collaborated with talented individuals such as Nicholas Skupien and Yi Wu. Their combined efforts contribute to the advancement of technology in data management.

Conclusion

Mark Vidov's contributions to data management systems through his innovative patent demonstrate his commitment to improving data search processes. His work continues to influence the industry positively.

Profile summary based on public USPTO records.
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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