Fremont, CA, United States of America

Sunil Govindan

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Isotopes Ai, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sunil Govindan. Retrieved from https://idiyas.com/inventor/sunil-govindan

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Sunil Govindan and Privacy-Preserving Analytics Verification.

Introduction

Sunil Govindan is an inventor based in Fremont, California. His work includes a patent for verifying the results of natural-language data analytics requests with machine learning.

Latest Patents

Govindan is associated with 1 patent, titled “Verification of Execution of Natural Language Data Analytics Requests.” The invention generates an ordered execution plan for an analytical request, then checks its steps in reverse. For each step, the system identifies or creates applicable invariants and uses a language model to generate executable verification code. The code checks the step’s inputs and outputs without exposing raw data to the model. When it detects a discrepancy, the system pinpoints the relevant step, connects it to possible causes, and provides a report with lineage and metrics. This approach aims to make verification of AI-generated analytics more explainable, privacy-preserving, and reliable across complex workflows.

Career Highlights

Govindan is associated with Isotopes AI, Inc. His patented work focuses on improving the correctness and transparency of analytics produced from natural-language requests.

Collaborations

The provided information identifies Gopal Vijayaraghavan and Prasanth Jayachandran as Govindan’s coworkers.

Conclusion

Sunil Govindan’s patent describes a structured approach to checking AI-generated analytics while protecting raw data and helping users trace errors to their source.

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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