YueTang Files IPO Prospectus: Pioneering AI-Powered Chinese Cuisine Image Recognition for Personalized Health Management

Elevated postprandial blood glucose is an independent risk factor for obesity and the “three highs” (hypertension, hyperglycemia, and hyperlipidemia). YueTang focuses on stabilizing postprandial blood glucose to help users achieve effective weight loss and manage the “three highs” with ease. Leveraging a precision medicine framework and AI technologies, YueTang provides users with simple, actionable, and personalized health solutions.

We once came across such an anecdote: When dining with friends, Mr. Liang Shiqiu, a renowned modern Chinese literary figure, felt tempted by the smoked fish, rock sugar-braised pork elbow, and assorted fried rice that were served one after another like flowing water, yet he did not touch his chopsticks. He only ate the final dish, Eight-Treasure Rice. In response to his friends’ bewilderment, he remarked, “I refrain from eating earlier so that I can eat later. Because I have high blood sugar and need to follow dietary restrictions, I must plan carefully and reserve that ‘quota’ for my favorite...”

For individuals who need to lose weight and manage the “three highs” (hypertension, hyperglycemia, and hyperlipidemia), resisting the allure of tempting delicacies is often challenging, as they lack such self-discipline. YueTang’s food image recognition technology will serve as a powerful tool for them to enjoy gourmet foods responsibly:Now, you only need to take a photo. YueTang can identify the food in the photo through deep learning algorithms, analyze its glycemic impact and nutritional content, and provide dietary recommendations (such as whether it is recommended and the appropriate portion size).. If he could travel back in time with a time machine, Mr. Liang could also taste the smoked fish and gnaw on a pig’s trotter, without having to wait until the end on an empty stomach.

Dietary logging is virtually the core feature of all health-focused apps. Only by recording dietary intake can one assess whether eating habits are reasonable and subsequently provide health recommendations. Making dietary logging—often difficult to sustain—more appealing, simple, and effective has been a key area of exploration for major tech giants. In 2015, Google pioneered IM2Calories, a program that estimates calorie content from food images; however, due to technological limitations at the time, its recognition accuracy was only around 30%.

Benefiting from the rapid advancement of AI technology, Yuetang has achieved a major breakthrough:

1. Overcame the long-standing challenge of Chinese cuisine recognition;

2. The recognition rate has reached as high as 87% and continues to improve;

3. Simply take a photo to effortlessly log your diet and receive personalized recommendations;

4. Yuetang’s exclusive Glycemic Point labeling for foods better reflects the impact of food on postprandial blood glucose fluctuations;

5. YueTang has completed sugar-point annotations for 1 million food delivery orders, 500,000 restaurants, 400,000 packaged food items, and 800 types of physical activities, making its solution more scenario-based and practical;

Chinese cuisine has long posed a significant challenge for food image recognition due to its diverse recipes and flexible ingredient combinations. This breakthrough by YueTang finally provides health-conscious food lovers with a reliable assistant for enjoying Chinese meals.

Yuetang provides dietary recommendations, along with follow-up exercise and nutritional supplementation plans, based on its proprietary algorithms. Each individual has a unique genetic makeup, and everyone’s lifestyle habits have their own rationale; truly effective health services must be personalized. Yuetang’s precision health solutions comprehensively account for the diverse characteristics of different populations. Managing “sugar” intake may be easier to maintain long-term without rebound compared to calorie restriction.

A study published in the prestigious New England Journal of Medicine indicates that simply counting calories is ineffective; the source of those calories is more critical. The CEO of Weight Watchers, a globally renowned health and weight-loss counseling organization, pointed out that the “calories-first” approach is becoming obsolete for those seeking to lose weight.

The Glycemic Point is a proprietary metric system developed by YueTang to assess the impact of food on blood glucose fluctuations. By comprehensively considering ingredients and portion sizes, cooking methods, dietary patterns, and target populations, it helps stabilize postprandial blood glucose levels and fundamentally improve metabolic health. This approach enables weight loss and effective management of the “three highs” (hypertension, hyperglycemia, and hyperlipidemia) without the need for stringent calorie restriction.

Leveraging the latest deep learning technologies, Yuetang’s AI engine can “intelligently identify dishes,” providing users with glycemic impact assessments and dietary recommendations for each meal. Due to the complexity of Chinese cuisine recognition, there are still some dishes that the AI engine cannot currently identify.At this point, users can make selections or enter corrections based on the reference items. This is also designed as an engaging feature for user-interactive training of the AI engine.Yuetang aims to help everyone savor cuisines from around the world through continuous training, usage, and algorithm optimization.

Post on social media before meals. The “Smart Dish Recognition” feature enables users to connect with more dining companions who share a passion for both gourmet food and healthy living, while also allowing Yuetang to leverage the bandwagon effect to acquire users more efficiently.

By leveraging user-uploaded photos and integrating information such as geographic location, Yuetang can tag images. For example, for a photo of “Sea Bass in Foil,” Yuetang assigns tags like “Low-Sugar Spot,” “Zhongguancun,” “Su-Yang Bistro,” and “Sea Bass in Foil,” enabling other food enthusiasts to quickly locate culinary hotspots.

When users search for dishes, Yuetang provides personalized recommendations based on existing tags and the degree of match with the user’s health information and dietary habits, guiding them to complete purchases via online food delivery or at offline restaurants. This feature is also applicable when users travel and need to select local foods at their destination.

When you spot something fresh at the market, simply take a photo and upload it; YueTang will then provide tailored recipes, nutritional analysis, and pairing suggestions to suit your taste.

When you come across an appetizing food photo on Weibo or in your WeChat Moments, Yuetang can identify the ingredients and automatically recommend healthy recipes, along with links to ingredient suppliers.

At the gym, simply select a piece of fitness equipment you’d like to try, and YueTang will provide a personal-trainer-level workout plan.

In supermarkets and pharmacies, a pregnant woman can take a photo of the nutrient label and upload it to learn that the calcium supplement in one bottle provides 600 mg per tablet, which is insufficient to meet the simultaneous needs of both mother and baby; another bottle would be more suitable for her.

Yuetang plans to leverage AI to help users predict postprandial blood glucose levels, truly transforming arduous health management into thoughtful health services.

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