San Francisco, CA, United States of America

Benoit Paul Laurent Malta

This inventor holds 6 USPTO granted patents. Top assignee: Google Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Benoit Paul Laurent Malta. Retrieved from https://idiyas.com/inventor/benoit-paul-laurent-malta

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


% Patents Active = 16.7

Average Co-Inventor Count = 3.5

ph-index = 1


Company Filing History:


Years Active: 2026

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6 patents (USPTO):Explore Patents

Title: Benoit Paul Laurent Malta: Innovator in Wearable Technology

Introduction

Benoit Paul Laurent Malta is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of wearable technology, holding a total of 6 patents. His work focuses on enhancing the functionality and safety of electronic devices.

Latest Patents

Among his latest innovations are a wearable electronic device and a protective bumper for electronic devices. These patents reflect his commitment to improving user experience and device durability in the rapidly evolving tech landscape.

Career Highlights

Benoit is currently employed at Google Inc., where he continues to push the boundaries of technology. His role at such a leading company allows him to collaborate with some of the brightest minds in the industry.

Collaborations

He has worked alongside talented colleagues, including Valentin Jean Charles Marcel Sollier and Jonah Avram Becker. Their combined expertise fosters an environment of innovation and creativity.

Conclusion

Benoit Paul Laurent Malta is a key figure in the development of wearable technology, with a focus on practical and innovative solutions. His contributions are shaping the future of electronic devices and enhancing user interaction.

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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