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 machine learning startups impacting food companies.
Out of 145, the Global Startup Heat Map highlights 5 Top Machine Learning Startups impacting Food Companies
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 145 exemplary startups & scaleups we analyzed for this research. Further, it highlights five FoodTech 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 140 machine learning solutions for food companies, get in touch with us.
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AIGecko enables Food Item Recognition
Founding Year: 2020
Location: Barcelona, Spain
Partner for Food Nutrition Tracking
AIGecko is a Spanish startup that builds LogMeal, a food recognition solution. The startup’s application applies computer vision and deep learning algorithms on images to recognize food items. It identifies food types, quantity, and the ingredients present, as well as provides an analysis of its nutritional values. The startup’s solution thus enables patients, sports personnel, and nutritionists to identify, classify and categorize food in real-time. Further, it is usable in self-service kiosks at restaurants to generate automated bills and offer real-time consumption analysis.
Calvry facilitates Calorie Intake Optimization
Founding Year: 2018
Location: Chandigarh, India
Use this solution for Nutrition Management
Indian startup Calvry builds a mobile app for calorie intake optimization. The application uses machine learning and image recognition to accurately identify food products and their nutritional contents. It also allows users to click or upload pictures from the phone and the app shows nutritional contents such as calories, fat, fiber, protein, vitamins, and carbs. This empowers users to maintain a healthy lifestyle by keeping track of nutritional intakes.
FloWaste advances Food Waste Reduction
Founding Year: 2020
Location: South Bend, US
Partner for Food Waste Analytics
US-based startup FloWaste facilitates food waste reduction by optimizing food preparation. The startup’s food analytics platform uses ML and computer vision to process high-resolution videos of food waste from restaurants in real-time. It then classifies and quantifies the food waste. The solution allows food service providers to accurately forecast consumption and optimize the meal preparations accordingly, reducing waste and maximizing profits.
Journey Foods provides Ingredients Intelligence
Founding Year: 2018
Location: Austin, US
Collaborate to implement Food Science Solutions
US-based startup Journey Foods provides ingredient intelligence to develop and launch new packaged food products. The startup’s data science platform, JourneyAI, examines millions of ingredients and supply chain data to assist in finding the ideal ingredient for each product. It collects and stores a vast amount of data from chemicals and nutrients to assess optimum formulations of food products. The platform allows packaged food manufacturing companies to better manage entire product life cycles through data-driven food discovery.
SmartClick offers a Food Recognition System
Founding Year: 2018
Location: Yerevan, Armenia
Use this solution for Automated Food Billing
Armenian startup SmartClick develops a machine learning-powered food recognition system. The startup’s solution combines a camera at the cash counter, computer vision, and data analytics. It analyzes the image to recognize the food on the tray along with its quantity to generate an automated bill. The solution facilitates self-ordering and makes the billing process for food joints and restaurants more efficient and generates greater profits.
Discover more Food Tech Startups
Food startups such as the examples highlighted in this report focus on food quality analysis, storage optimization, and food equipment monitoring. 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.
