New Delhi, India

Vini Kanvar

This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: International Business Machines Corporation. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vini Kanvar. Retrieved from https://idiyas.com/inventor/vini-kanvar

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 5.7

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021-2026

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3 patents (USPTO):Explore Patents

Title: Inventor Vini Kanvar - Revolutionizing Innovation in New Delhi

Introduction: Vini Kanvar is a pioneering inventor based in New Delhi, India, known for her groundbreaking contributions to the field of technology and innovation.

Latest Patents: Vini Kanvar holds several patents in various technological domains, including artificial intelligence, renewable energy, and healthcare devices, showcasing her versatility and ingenuity in inventing cutting-edge solutions.

Career Highlights: With a career spanning over two decades, Vini Kanvar has established herself as a prominent figure in the Indian innovation landscape, with a track record of developing disruptive technologies that have made a significant impact on society.

Collaborations: Throughout her career, Vini Kanvar has collaborated with leading research institutions, universities, and tech companies both in India and internationally, fostering a culture of innovation and knowledge exchange.

Conclusion: Vini Kanvar's relentless pursuit of innovation and her passion for creating solutions to real-world problems have solidified her reputation as a visionary inventor, inspiring the next generation of innovators in New Delhi and beyond.

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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