LogMeal

LogMeal is a food AI company that uses deep learning, computer vision, and image-based recognition to identify dishes, ingredients, food groups, and nutritional characteristics from photos. Its technology is designed for developers, nutrition professionals, healthcare providers, sports nutrition teams, restaurants, and other applications that need automated food logging and nutritional analysis. The company positions itself as a specialist in food recognition and nutritional tracking, offering both API-based tools for software integration and ready-made solutions such as nutrition software for hospitals, dietitians, athletes, and self-service restaurant checkout. Across these use cases, LogMeal emphasizes automated, objective, and real-time food understanding to replace manual questionnaires and reporting. Core Values Automation : LogMeal focuses on replacing manual food logging, questionnaires, and reports with image-based recognition and auto-calculated nutritional data. Accuracy and objectivity : The company emphasizes standardized, real-time analysis based on AI, computer vision, and deep learning to provide more objective food and nutrition tracking. Personalization : Its tools support personalized nutritional goals, recommendations, alerts, meal assignments, and user-specific settings such as language and regional food habits. Efficiency : LogMeal’s solutions are designed to save time for professionals and users by centralizing intake history, reports, and monitoring in one interface. Sustainability awareness : Through food waste estimation and consumption analysis, the company supports better understanding of leftovers and waste reduction. Unique Aspects Large food recognition scope : LogMeal states that its general-purpose Food API can detect more than 1,300 dishes from local and international cuisines, supported by a large food image dataset. End-to-end ecosystem : The company combines API services, a mobile app, a professional platform, and a kiosk product so the same recognition engine can serve consumers, clinicians, and restaurants. Healthcare and sports specialization : Beyond generic food recognition, LogMeal offers dedicated products for hospitals, private nutrition practices, and athlete monitoring, including nutrient indicators, goals, and reports. Restaurant checkout use case : Its kiosk solution adds autonomous self-checkout, POS integration, and real-time consumption analytics for self-service food environments. Multi-language support : The API and apps are available in multiple languages, helping deployments across different markets and user groups. EU data hosting and GDPR positioning : For its nutrition-monitoring products, LogMeal says user data is anonymized, encrypted, stored on servers in the European Union, and handled in compliance with GDPR.