San Francisco, CA, United States of America

Karim Pichara

This inventor holds 3 USPTO granted patents and 4 published patent applications. Top assignee: Notco Delaware, LLC. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Karim Pichara. Retrieved from https://idiyas.com/inventor/karim-pichara-fbjnbzt4

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 4.9

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Innovations of Karim Pichara: Pioneering AI in Food Technology

Introduction: Karim Pichara, an inventive mind based in San Francisco, CA, is making waves in the field of food technology with his innovative patents. With three patents to his name, Pichara is leveraging artificial intelligence to revolutionize how we understand and recreate flavors and food items.

Latest Patents: Among his latest patents, Pichara has developed systems and methods to suggest chemical compounds using artificial intelligence. This patent details techniques for recommending chemical compounds that possess desired flavor profiles or can replicate the functional properties of a target chemical compound. The innovative aspect lies in training an AI model on source chemical compounds with known flavors, allowing it to learn the relationships between these compounds and their flavors. This enables the identification of chemical compounds that closely match the desired flavor profile through a similarity search.

Another significant patent introduced by Pichara focuses on systems and methods to mimic target food items using artificial intelligence. Through this innovation, the system learns from both open-source and proprietary databases to create a prediction model. By analyzing features of source ingredients to align with those of a target food item, a formula that outlines the most relevant ingredients and their proportions can be derived. A recurrent neural network (RNN) is employed to determine a specific recipe that mimics the target food item, incorporating a cooking process that can be executed by chefs. The recipe can also be refined based on human feedback regarding sensory descriptors.

Career Highlights: Currently, Karim Pichara is associated with NotCo Delaware, LLC, where he harnesses AI’s potential to enhance food technology. His work revolves around the intersection of chemistry, culinary art, and artificial intelligence, pushing the boundaries of traditional food science.

Collaborations: Pichara collaborates closely with colleagues Hojin Kang and Francisco Clavero, combining their expertise to further innovate in their field. Together, they continue to explore new territories in the synthesis of flavors and the recreation of culinary experiences using AI.

Conclusion: With his groundbreaking patents and collaborative efforts, Karim Pichara is at the forefront of using artificial intelligence to innovate in food technology. As he continues to develop systems that blend flavors and mimic food items, his contributions promise to reshape how we perceive and enjoy culinary creations.

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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