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For the Inventor, By the Inventor

San Francisco, CA, United States of America

Sathya Hariesh Prakash

This inventor holds 13 USPTO granted patents and 6 published patent applications. Top assignee: People.ai, Inc.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sathya Hariesh Prakash. Retrieved from https://idiyas.com/inventor/sathya-hariesh-prakash

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

Calculating rank
USPTO Granted Patents = 13 

% Patents Active = 100.0

Average Co-Inventor Count = 4.8

ph-index = 3

Forward Citations = 117(Granted Patents)


Company Filing History:

goldMedal13 out of 112 
 
People.ai, Inc.
 patents

Years Active: 2019-2026

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13 patents (USPTO):Explore Patents
1. 12531934 - Systems and methods for detecting events based on updates to node profiles from electronic activities (2026-01-20),
2. 12166832 - Systems and methods for detecting events based on updates to node profiles from electronic activities (2024-12-10),
3. 12069142 - Systems and methods for detecting events based on updates to node profiles from electronic activities (2024-08-20),
4. 11979468 - Systems and methods for detecting events based on updates to node profiles from electronic activities (2024-05-07),
5. 11949751 - Systems and methods for restricting electronic activities from being linked with record objects (2024-04-02),
6. 11909836 - Systems and methods for updating confidence scores of labels based on subsequent electronic activities (2024-02-20),
7. 11563821 - Systems and methods for restricting electronic activities from being linked with record objects (2023-01-24),
8. 11265390 - Systems and methods for detecting events based on updates to node profiles from electronic activities (2022-03-01),
9. 11265388 - Systems and methods for updating confidence scores of labels based on subsequent electronic activities (2022-03-01),
10. 10901997 - Systems and methods for restricting electronic activities from being linked with record objects (2021-01-26),
11. 10678795 - Systems and methods for updating multiple value data structures using a single electronic activity (2020-06-09),
12. 10489462 - Systems and methods for updating labels assigned to electronic activities (2019-11-26),
13. 10489457 - Systems and methods for detecting events based on updates to node profiles from electronic activities (2019-11-26),

Title: Innovations and Contributions of Sathya Hariesh Prakash in Event Detection Systems

Introduction: Sathya Hariesh Prakash, based in San Francisco, CA, is an accomplished inventor with a remarkable portfolio of 12 patents. His work primarily revolves around enhancing event detection systems through innovative methods that leverage electronic activities and node profiles.

Latest Patents: Among Prakash's notable patents is "Systems and methods for detecting events based on updates to node profiles from electronic activities." This patent involves a sophisticated framework that includes accessing electronic activities through a data source provider, generating activity field-value pairs, and maintaining a series of node profiles. The technology identifies state changes in these profiles, which help in determining event conditions and storing relevant associations. This invention exemplifies a revolutionary approach to event detection in computing.

Career Highlights: Sathya Hariesh Prakash has established himself as a key figure in the technology landscape. His role at People.ai, Inc. is pivotal in driving forward the capabilities of their systems. His innovative methodologies have had a significant impact on the efficiency of event detection technologies.

Collaborations: Prakash works alongside esteemed colleagues such as Oleg Rogynskyy and John Wulf. Their collaborative efforts at People.ai, Inc. have fostered an environment rich in innovation and technological advancement.

Conclusion: Sathya Hariesh Prakash continues to push the boundaries of technology through his inventive contributions and collaborations. His patents not only showcase his expertise but also reflect the growing importance of effective event detection systems in today’s digital landscape.

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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