Mumbai, India

Jieya Rawal

This inventor holds 1 USPTO granted patent. Top assignee: Fractal Analytics Private Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jieya Rawal. Retrieved from https://idiyas.com/inventor/jieya-rawal

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


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: Jieya Rawal and Neuroscience-Inspired Image Generation

Introduction

Jieya Rawal is an inventor based in Mumbai, India, associated with Fractal Analytics Private Limited. Her patent work explores how neuroscience-inspired strategies can improve prompts used to generate images with large language models.

Latest Patents

Rawal is named on 1 patent: “System and Method for Image Generation Using Neuroscience-Inspired Prompt Strategy.” The invention describes systems and methods for generating prompts informed by factors such as evolutionary category needs, emotionally significant memories, usage context, brand guidelines, and photographic details. Its proposed modules include an analytics engine, a contextualized prompt generation module, an image generator, and a governance module. Together, these components aim to produce more effective prompts and support more successful, user-friendly interactions with large language models.

Career Highlights

Rawal’s listed patent reflects an interest in applying neuroscience-informed considerations to image generation and prompt design. She is associated with Fractal Analytics Private Limited.

Collaborations

The provided information identifies Biju Joseph Dominic and Tanya Upadhyay as Rawal’s coworkers. The patent description also outlines a modular approach in which analytics, contextualized prompt generation, image generation, and governance work together.

Conclusion

Jieya Rawal’s patent presents a neuroscience-inspired approach to prompt strategy, combining contextual and creative considerations to support image generation with large language models.

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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