CA

Pooja Hiranandani

This inventor holds 1 USPTO granted patent. Top assignee: Dialpad, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Pooja Hiranandani. Retrieved from https://idiyas.com/inventor/pooja-hiranandani

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


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Pooja Hiranandani: Innovator in Call Center Technology

Introduction

Pooja Hiranandani is a talented inventor based in California, known for her innovative contributions to call center technology. She has developed a unique system and method for determining the purpose of a call, which enhances the efficiency of call centers.

Latest Patents

Hiranandani holds 1 patent for her invention titled "System and method for determining a purpose of a call." This computer-implemented method predicts the purpose of a call for a call center, supporting various analytical functions. The invention includes automatic discovery of call topics, clustering of topics, and assigning utterances to clusters. A key feature of her patent is a pipeline that incorporates an inference engine with a machine learning model trained on call transcripts and call attribute data to accurately predict the purpose of a call.

Career Highlights

Pooja Hiranandani is currently employed at Dialpad, Inc., where she continues to innovate in the field of communication technology. Her work focuses on improving the capabilities of call centers through advanced analytical methods.

Collaborations

Hiranandani collaborates with talented coworkers, including Elena Khasanova and Shayna Anne Gardiner, who contribute to the innovative environment at Dialpad, Inc.

Conclusion

Pooja Hiranandani's contributions to call center technology exemplify her commitment to innovation and efficiency. Her patent demonstrates the potential of machine learning in enhancing communication processes.

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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