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The future is data-driven

and autonomous. 

The future

is data-driven

and autonomous.

Gaius.AI innovates food mass-manufacturing equipment.

 

Answering to the inefficiencies of the $250B food extrusion industry, our patented AI technology decreases manufacturing costs by up to 15% and improves quality in some of the biggest categories – snacks, cereals, pet food and meat alternatives. We revolutionise food factories  to provide cheaper, better and more sustainable manufacturing.

We are the first and only company to have developed an AI-platform that innovates throughout the entire extrusion process. The future of manufacturing puts data, and not machine, at the centre. We do that with food extrusion. 

Autonomous Production

Imagine a future with decentralised and accessible food manufacturing. Imagine more stable production, with far less ingredient and energy waste. This is the future of AI enhanced food production. 

Data Leads the Way

Data Leads the Way

Food Extrusion

Extruders transform diverse raw materials into a variety of final products using heat, pressure, and shear forces, producing fibrous, elastic textures. This is the primary technology that has served a large portion of the food industry at mass-scale for decades, manufacturing a variety of products including snacks, cereals, pasta, pet food and meat alternatives.

Gaius.AI develops Smart Extrusion™: a cost-efficient and energy-effective solution for food manufacturers that increases production rate, reduces cost, improves the quality, stabilizes production processes and enables the efficient development of novel foods.

Market 

Extrusion plays a crucial role in the food industry, enabling the production of a wide range of food products with specific textures, shapes and mouthfeel. It is extensively used for creating food products such as puffed snacks, breakfast cereals, pasta, plant-based meat alternatives and snack bars. Moreover, it is used for the production of fish and pet foods. The versatility of extrusion AI technology allows for precise control over the cooking process, ingredient composition, and product characteristics, leading to efficient manufacturing and consistent product quality.

Market

Pet Food

121B

 USD/year

Morning Cereals 

54B

USD/year

Meat Substitutes

14B

USD/year ​

Puffed Snacks

68B

USD/year

 Traction

Meat.The End was founded in 2020 as a B2B ingredient company with a mission to create meat alternatives with far better texture at a lower cost. Meat.The End successfully completed this mission, and today, products based on its ingredients are the best in the world, beating leading market competitors in professional sensory panels world-wide.

 

Today, Meat.The End sells to multi-national food companies around the globe. You can find products based on Meat.The End's ingredients at leading retailers and QSRs in Asia, Europe and soon the Americas. Meat.The End's research - entitled Smart Extrusion™ - focused on plant protein extrusion. This patented technology is now ready to reach beyond plant protein to significantly larger industries. 

This is why we established Gaius.AI: to continue developing Smart Extrusion™ in order to make it accessible for other food producers worldwide.

Gaius.AI was founded in 2023 and we expect that already in 2024 we will start selling our AI technology by licensing to food manufacturers that are active in the field of extrusion.

Team

Gaius.AI connects industry-leading multidisciplinary experts: data scientists, image analysts, computational biologists, biochemical researchers and food engineers, turning AI & Machine Learning into food AI mass production.

Team

Gaius.AI connects industry-leading multidisciplinary experts: data scientists, image analysts, computational biologists, biochemical researchers and food engineers, turning AI & Machine Learning into food mass production.

Dr. Yishai Mishor

CEO

Gaius.AI  founder and Meat.The End's founder. His 20-year career spans law, business, academia and politics, including serving as Chief of Staff to the President of Israel. Yishai holds a PhD in Law from the University of Oxford and was a professor at Oxford.

  • LinkedIn

Yamit Tal

CTO (MTE) 

Yamit is a food technologist with over 20 years of experience leading teams through the entire product development lifecycle. Specializing in meat substitutes, she brings knowledge in frozen, chilled and extrusion technologies. She previously held senior positions in Nestle Israel & Maabarot Group.

  • LinkedIn

Moshe Iserovici

VP of Technical Process & Technology

Moshe Iserovici has rich experience in food extrusion and DYE design, having previously worked as Chief Mechanical Engineer at Unilever Israel. Moshe is the owner of several registered patents in the field of food extrusion.

  • LinkedIn

Moshe (Juky) Nesher

COO

Extensive expertise in global development, production, purchasing and marketing of plant-based food products. His previous experience includes Chief Technologist for Nestle Israel, Chief Technologist for Tivall Food Industries and Head of Procurement for Osem-Nestle Group, Israel.

  • LinkedIn
  • LinkedIn

A computational biologist and founder of FoldChanges.com with over ten years' experience researching, consulting and applying expertise to challenges in cellular agriculture and plant-based meat. Dr. Kist holds a DPhil in Computational Biology from the University of Oxford.

Dr. Nico Kist

Data Science Specialist

  • LinkedIn

A computer scientist with a background in computer vision, deep-learning, and image processing. His professional experience includes working at Amazon and Intel, where he demonstrated expertise developing and optimizing models for solving complex computer vision challenges. Shai is currently pursuing a PhD in Computer Science at Ben-Gurion University.

Shai Aharon

Machine Learning

  • LinkedIn

An expert in AI-solutions for Clinical Research, focusing on Deep Learning, Generative Modelling and data-integration on Complex Systems. With over 8 years of experience in Unsupervised Learning and Generative Models for multi-modal data integration, she worked on a range of AI applications for healthcare and biology. She holds a PhD in AI - Computer Science from University of Cambridge.

Dr. Helena Andres-Terre

Image Analysis

  • LinkedIn

A world-leading extrusion expert in MTE’s European R&D department. He has previously led dozens of R&D projects focusing on plant protein processing for premium meat and dairy alternatives, and was Senior Researcher at Fraunhofer-Gesellschaft. Florian holds a PhD from Technische Universität Berlin.

Dr. Florian Wild

Extrusion

The market and what would happen to the world when AI will enter the manufacturing industry 

 

The emergence of the Industrial Internet of Things (IoT) has brought about a technological revolution that is reshaping industries across the globe. By connecting physical devices to the digital world and enabling them to communicate with each other and share data, industrial IoT has brought about a new era of efficiency and connectivity in the manufacturing sector. Furthermore, when combined with Artificial Intelligence (AI), industrial IoT transcends mere automation, enabling businesses to achieve unprecedented levels of productivity, cost savings and innovation.

Industrial internet of things (IIoT) & how it changes the world. 

The industrial revolutions mark significant milestones in human history, with each one propelling humanity into new eras of progress and innovation as well as drastically changing the socioeconomic structure of human society. These revolutions, defined by rapid advancements in technology, production methods and societal changes, have shaped the trajectory of human civilisation.

The Evolution of a Revolution 

Machine learning is a form of artificial intelligence that focuses on the development of algorithms that enable computer systems to learn from data and make decisions without explicit programming. In summary, it involves training a machine learning model with data to recognize patterns, extract insights and make informed predictions or take certain actions.

 

Machine learning has emerged as a transformative technology with application across a broad range of industries, including food manufacturing. By leveraging algorithms and data analysis, machine learning has the potential to revolutionize the way food is produced, processed and distributed; it can enhance efficiency, quality, control and safety across the entire value chain.

What is Machine Learning and how is it relevant to food manufacturing?

Climate change is the most urgent and serious threat to the human race today and artificial intelligence is the most powerful tool available to humanity in the 21st century, it is appropriate that we combine the two.

Welcome to the forefront of culinary innovation and sustainable technology at Gaius.Ai! As a force in AI-driven advancements for food processing machinery, we have not only changed the landscape of global meat alternative production, but also catalyzed a paradigm shift toward environmentally conscious practices.

Our autonomous, data-driven solutions reduce costs by up to 15%. In this blog, we delve into the intersection of artificial intelligence, food production and climate change

Blog

 

Climate change is the most urgent and serious threat to the human race today and artificial intelligence is the most powerful tool available to humanity in the 21st century, it is appropriate that we combine the two.

Welcome to the forefront of culinary innovation and sustainable technology at Gaius.Ai! As a force in AI-driven advancements for food processing machinery, we have not only changed the landscape of global meat alternative production, but also catalyzed a paradigm shift toward environmentally conscious practices.

Our autonomous, data-driven solutions reduce costs by up to 15%. In this blog, we delve into the intersection of artificial intelligence, food production and climate change,

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19 Tarshish Street

 Industrial Park, North

Caesarea, Israel

Contact

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