Discover 5 Top AI Startups impacting the Food Industry

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the food industry. This time, you get to discover five hand-picked AI startups impacting the food industry.

Out of 535, the Global Startup Heat Map highlights 5 Top AI Startups impacting the Food Industry

The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.

The Global Startup Heat Map below reveals the distribution of the 535 exemplary startups & scaleups we analyzed for this research. Further, it highlights five AI startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 530 AI startups impacting the food industry, get in touch with us.

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doing lab enables Instant Multi Food Recognition

Founding Year: 2016
Location: Seoul, South Korea

doing lab provides an AI-enabled instant multi-food recognition solution. The startup’s FoodLens solution recognizes multiple food items through a single picture and estimates food quantities based on the distance between the camera and the food. The doing lab solution calculates the nutritional content, sauces used, style of cooking, and main ingredients. FoodLens recommends recipes, supports new insurance products, and allows hospitals and medical centers to deliver accurate and healthy food for patients.

Stop Fake Food facilitates Food Fraud Prevention

Founding Year: 2016
Location: Baarerstrasse, Switzerland

Swiss startup Stop Fake Food provides solutions to stop food counterfeiting. The startup uses AI with Raman spectroscopy for on-site food authenticity and quality testing. The solution employs machine learning and neural networks to recognize key food authenticity and quality parameters through pattern analysis. The system scans the food and provides a detailed report about product type, food safety parameters, compliance, and composition. This helps in the authentication of products at various stages of the food supply chain.

Ainova Food Analytics facilitates Low Carbon Food Production

Founding Year: 2020
Location: Santiago, Chile

Chilean startup Ainova Food Analytics enables food companies to develop healthy food with a low carbon footprint. The startup’s AI platform accelerates the research and development (R&D) process for food formulations. The system allows manufacturers to create new food, change their current formulations, or replace animal ingredients with more sustainable plant ingredients. Ainova also enables the development of plant-based food with the same nutrient bioavailability as meat and developing foods with local origins. This reduces manufacturing time and costs for food producers, as well as provides nutritional labeling through the AI platform.

Savormetrics provides a Food Quality Analysis Tool

Founding Year: 2017
Location: Mississauga, Canada

Savormetrics provides a food quality analysis tool. The startup’s solution uses AI algorithms to analyze quantitative and qualitative measurements of fresh food products in a non-destructive manner. The Savormetrics system analyzes biochemical and biophysical quality metrics to predict decay curves, identify food contaminants, and estimate the remaining shelf-life of food products. The solution also forecasts the time-to-harvest, ripening process, and yield for food processing applications.

Trellis improves Food Production Efficiency

Founding Year: 2016
Location: Tel Aviv, Israel

Israeli startup Trellis develops an AI-based cognitive learning solution to manage agricultural supply and manufacturing by forecasting market demands and business targets. The platform studies decades of historical harvest data about food production, food distribution systems, markets, and weather trends to analyze the market better. Trellis also provides comprehensive predictions and recommendations for timely and accurate supply chain optimization. This allows food and beverage manufacturers to become resource-efficient and scalable.

Discover more Food Tech Startups

Food startups such as the examples highlighted in this report focus on improving food production, food authenticity, operational efficiency, and food recognition using AI. While all of these technologies play a major role in advancing the food industry, they only represent the tip of the iceberg. To explore food technologies in more detail, simply let us look into your areas of interest. For a more general overview, download our free FoodTech Innovation Report to save your time and improve strategic decision-making.