This inventor holds 2 USPTO granted patents. Top assignees: Q, LLC, Shoreline Iot, Inc.. Active years: 2023-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2026
Title: The Innovative Mind of Kabir Manghnani
Introduction
Kabir Manghnani is a notable inventor based in Saratoga, California. He has made significant contributions to the field of artificial intelligence and the Internet of Things (IoT). His work focuses on creating systems that enhance the functionality and efficiency of industrial assets through advanced technology.
Latest Patents
Kabir holds a patent for "Systems and methods for self-learning artificial intelligence of things (AIOT) devices and services." This invention is directed towards monitoring and predicting service events for industrial assets using an AIoT system. The system includes an AIoT device, AIoT cloud, and a self-learning AI classification and analytics engine. The device is equipped with sensors and an inference engine that reduces power consumption while detecting anomalies. When an anomaly is detected, the system can automatically send data for classification and further processing, making it a self-learning solution.
Career Highlights
Kabir is currently employed at Shoreline IoT, Inc., where he continues to innovate in the field of AI and IoT. His work has positioned him as a key player in developing technologies that improve industrial operations. His dedication to advancing AI technology is evident in his patent and ongoing projects.
Collaborations
Kabir collaborates with talented individuals such as Mark Stubbs and Sameer Bidichandani. Their combined expertise contributes to the innovative environment at Shoreline IoT, Inc.
Conclusion
Kabir Manghnani is a forward-thinking inventor whose work in AI and IoT is shaping the future of industrial technology. His patent reflects his commitment to creating self-learning systems that enhance operational efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
