GreenProtein AI
Utilizing machine learning and AI to predict and optimize the extrusion process in the production of plant-based meats.
Extruders are the machines that many companies globally use to create plant-based meats. But setting up new runs of ingredients, which can vary in quality and properties, involves costly and time-consuming trials to fine-tune the final result.
Our pioneering project, GreenProtein AI, is set to transform this process. In partnership with machine learning and AI expert consultants as well as extruder manufacturers, we are tapping into the power of data to accurately forecast the final product texture. Our innovative method moves away from the inefficiencies of conventional trial and error, aiming to refine the texture of plant-based meats and boost development efficiency. This initiative not only holds the potential to reduce consumer prices and accelerate innovation but also to expand the role of extruders in the production of plant-based meats.
About the project:
Collaborators and users of our model stand to gain:
• Time and Cost Savings: Reduce the number of experiments needed to optimize product formulations and extrusion parameters.
• Enhanced Product Quality: Improve the texture of plant-based products through data-driven insights.
• Market Acceleration: Develop and scale up new products faster, gaining a competitive edge.
• Price Parity: Lower prices for consumers, potentially achieving price parity between plant-based and animal-based food products.
• Innovation and Expansion: Speed innovation and expand the use of extruders in plant-based food production.
Benefits to all stakeholders:
About the GreenProtein AI Project Lead
Leading the charge on this groundbreaking project is Noa Weiss, an expert AI & Machine Learning consultant with a focus on Alternative Proteins and FoodTech.
With over a decade of experience harnessing the power of data in both academia and tech industry, Noa is well-versed in leveraging big data and machine learning to drive success. Today, she assists startups and established companies alike in capitalizing on their data and applying AI & machine learning technology effectively
In addition to her work with companies across various domains, Noa is a recognized figure in the community, leading the Israeli chapter of Women in Data Science, offering her expertise with AI and data to the Good Food Institute mentoring program and the Modern Agriculture Foundation.
In this endeavor, she merges her extensive experience with her passion for the rapidly evolving alternative protein and FoodTech industry. She applies her expertise in machine learning and data science to streamline R&D processes, fast-track product development, and optimize outcomes.
Join us in shaping the future of plant-based foods. We invite extruder manufacturers, plant-based meat companies, research institutions, and all interested stakeholders to collaborate with us.