Offenbach am Main, Germany

Naga Sai Pranay Modukuru

This inventor holds 1 USPTO granted patent. Top assignee: Tvarit Gmbh. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Naga Sai Pranay Modukuru. Retrieved from https://idiyas.com/inventor/naga-sai-pranay-modukuru-mdkh6aua

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Naga Sai Pranay Modukuru and AI-Driven Recipe Optimization

Introduction

Naga Sai Pranay Modukuru is an inventor based in Offenbach am Main, Germany. His patented work applies artificial intelligence and physics-based simulation to recommend recipes for manufacturing processes.

Latest Patents

Modukuru is associated with 1 patent, titled “System and Method for Recommending a Recipe in a Manufacturing Process.” The invention describes a computer-implemented method that uses experimental data collected from a machine to build a physics-based simulation model. The model generates synthetic data for candidate recipes, while a trained AI model analyzes experimental and synthetic data to determine optimized physical ranges for recipe parameters. The method then generates and validates additional recipes through simulation, selects an optimized recipe, and recommends it for producing a product on the machine.

Career Highlights

Modukuru’s patent focuses on combining machine data, simulation, and AI to support recipe selection in manufacturing. The approach is designed to help identify and validate production settings before recommending a recipe for use.

Collaborations

Modukuru is associated with Tvarit GmbH. His listed coworkers include Jiteshkumar Pareshkumar Vasavada and Manthan Dhisale.

Conclusion

Naga Sai Pranay Modukuru’s patent presents an AI- and simulation-based approach to optimizing manufacturing recipes, connecting experimental machine data with validated production recommendations.

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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