Pune, India

Akshay Rajendra Shah

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: 6Sense Insights, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Akshay Rajendra Shah. Retrieved from https://idiyas.com/inventor/akshay-rajendra-shah

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Akshay Rajendra Shah: Inventor in Business Information Extraction

Introduction

Akshay Rajendra Shah is an inventor based in Pune, India. His patent work focuses on using artificial intelligence to extract and organize business information from online sources.

Latest Patents

Shah is associated with 1 patent, titled “System and Method for Extracting and Categorizing Information from Online Sources.” The invention describes a multi-stage system for gathering business information from company websites. A web crawler collects company domains and homepage links, while a classification model based on a fine-tuned BERT architecture identifies pages likely to contain relevant information. Content-extraction modules then process those pages, and a large language model uses category-specific prompts to generate tags. The approach is designed to improve the efficiency, scalability, and accuracy of automated business intelligence gathering from diverse, unstructured web sources.

Career Highlights

Shah works at 6sense Insights, Inc. His patent reflects an application of machine learning and language models to the practical challenge of organizing information found across the web.

Collaborations

His listed coworkers include Ernest Kirubakaran Selvaraj and Samira Golsefid.

Conclusion

Akshay Rajendra Shah’s patent presents an AI-driven approach to extracting and categorizing online business information, connecting web crawling, machine learning, and language-model processing in a single workflow.

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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