Common Questions & Answers

For individuals: mymolecules is built for people who want to understand how their own body responds to food, instead of following generic nutrition rules. It helps you connect meals, symptoms and wearable data such as energy, sleep, activity, stress and recovery into a clearer picture of your personal metabolism. The goal is not to make nutrition more complicated, but to make everyday decisions more personal, measurable and easier to act on.

For companies: mymolecules can also provide APIs and intelligence layers that connect molecular food profiles, wearable signals and personalized nutrition use cases. This makes the platform relevant for health apps, wearable platforms, food companies and smart kitchen providers.

Classic nutrition apps usually focus on calories, macros or static food tracking. mymolecules goes deeper by looking at food on a molecular level and connecting it with your individual body signals. It combines meal information, symptoms, wearable data and modeled metabolic responses to understand what may actually work for you. Instead of only telling you what you ate, it helps explain how your body reacts. This turns nutrition from generic tracking into personal metabolic intelligence.

Yes. mymolecules is not built around dieting, restrictions or one fixed eating plan. It helps you understand your body better and make nutrition choices that fit your everyday life. You can use it to learn which meals support your energy, digestion, glucose stability or general wellbeing. The focus is not on eating perfectly, but on making better decisions with better feedback.

mymolecules gets to know you through your interaction with the digital assistant in the chat. You can tell it what you eat, how you feel, which symptoms you notice and what goals matter to you. If you connect a wearable, real-time health data such as heart rate, sleep, activity and other signals can add additional context. Over time, the system learns from the combination of your inputs and your body data. This makes the guidance more personal the more you use it.

The most important information is what you eat and how you feel afterwards. You can also add symptoms, goals, preferences, intolerances or excluded foods when they are relevant. If you connect a wearable, mymolecules can use additional context such as sleep, heart rate, activity and recovery signals. You do not need to enter everything manually all the time. The system is designed to work with flexible input and improve as more context becomes available.

The more consistently you share data, the more reliable the patterns become. First useful observations can often appear after one to two weeks, especially if you log meals and body reactions regularly. Stronger personal insights develop over a longer period because the system can compare more situations, meals and daily states. Wearable data can make this process richer by adding objective context. mymolecules is designed to become more precise over time, not to make rushed conclusions from isolated events.

You can log meals and symptoms in the way that feels easiest in the moment. You can type a short message in the chat, upload a photo of your meal or use a voice message. The assistant then helps turn this input into structured information about what you ate, how you felt and which symptoms appeared. If something is unclear, it can ask follow-up questions instead of forcing you through a rigid form. Logging should feel like a conversation, not like filling out a spreadsheet.

mymolecules is designed to work with nearly all wearables that can share data through Apple Health, Android Health or Google Health. This includes many modern smartwatches, smart rings and fitness wristbands. Instead of relying on only one device brand, the system uses the health data layer your device already connects to. Supported data can vary depending on the device, operating system and permissions you choose. In general, if your wearable can sync relevant health data into these ecosystems, mymolecules can use it as context.

No. You can use mymolecules without a smartwatch, ring or wristband. Wearables can improve the context because they add objective signals such as sleep, heart rate, activity or recovery. But your own input about meals, symptoms and how you feel is already valuable. A wearable simply helps the system understand more of what happens between meals and body reactions.

Yes. mymolecules can estimate glucose dynamics without a continuous glucose monitor by using a proprietary algorithm based on wearable signals and personal context. The model can use information such as heart rate patterns, demographic data and other available health signals to generate a modeled glucose curve. It is designed to identify trends, patterns and possible metabolic responses over time, especially after meals or during different daily states. It is not designed for people with diabetes as a medical device. The goal is to provide an additional layer of metabolic insight for everyday personalization, not diagnosis or treatment.

Yes. You decide which data sources you connect and which data types you allow mymolecules to use. Health and wearable permissions can be managed through the app and the connected health platforms. You can keep the experience simple with only manual inputs or add more context through wearables when you want deeper personalization. The goal is to give you control while making the benefits of each data type clear. Your data should support your guidance, not feel like something you lose control over.

Yes. mymolecules can suggest recipes, adapt meals you already like and create meal plans based on your goals, preferences and current situation. The system is designed to improve existing eating habits instead of replacing everything with generic plans. For example, it can make a familiar meal more protein rich, easier to digest or better suited to your metabolic state. It can also build meal plans that consider your preferences, intolerances and available context from wearables. The focus is practical personalization that fits into everyday life.

Yes. You can add intolerances, personal preferences and foods you want to avoid. This helps mymolecules understand what should be included, adapted or left out when it creates recommendations. The assistant can use this information when suggesting recipes, adapting meals or evaluating menu options. You can also update these details over time if your needs change. The more accurately your profile reflects you, the better the recommendations can fit.

Yes. You can take a photo of a restaurant menu, cafeteria menu or available meal options and ask mymolecules to help you choose. The assistant can compare the options with your goals, preferences, intolerances and current context. It can explain which meals may be a better fit and why, instead of only giving a simple yes or no. If information is missing, it can ask follow-up questions or work with reasonable assumptions. This is meant to support real-life decisions when you cannot fully control the ingredients.

Your data is stored in a secure European cloud environment where possible, with a focus on protecting sensitive health and nutrition information. The system is designed so that personal data and health related context are handled carefully and only used to provide the product experience. Technical safeguards such as controlled access, authentication and encrypted data transfer are part of the infrastructure. The exact setup may depend on the final product environment and legal requirements. The goal is to keep your data protected while still making personalized guidance possible.

Your data is used to make mymolecules work for you. This includes understanding your meals, symptoms, preferences, wearable signals and personal goals so the assistant can provide more relevant guidance. It can also be used to improve the product, but this should happen in a privacy conscious way and without selling your personal data. You stay in control of what you connect and which information you share. The purpose of the data is personalization, not advertising or third-party resale.

The APIs are designed for partners who want to add adaptive nutrition intelligence to their own products. This can include health apps, wearable platforms, food companies, smart kitchen providers, digital health services or research driven nutrition products. Partners can use the platform to connect molecular food profiles, personal context and wearable signals into more personalized recommendations. Instead of building the full intelligence layer themselves, they can integrate selected capabilities from mymolecules. The goal is to make metabolic personalization available across different products and ecosystems.