Common Questions & Answers

For individuals: The mymolecules app is for people who want to understand how food actually fits their own body, not just follow generic nutrition rules. It connects meals, symptoms, preferences and body signals in one assistant, so everyday choices feel easier and more personal.

For companies: The mymolecules APIs are for partners who want to bring adaptive nutrition intelligence into their own products. They can power apps, wearables, food products, smart kitchen experiences and other personalized nutrition use cases.

Most nutrition apps track calories, macros or meals. mymolecules looks at food more deeply, including molecular food data, and connects it with how you feel and what your body signals show. The goal is to explain patterns, not just record what you ate.

No. mymolecules is not built around strict diets, fixed plans or eating perfectly. It helps you understand what tends to work for you and turn that into better choices in real life.

You can ask what to eat, why a meal may have affected you, how to adapt a recipe or which option fits better right now. You can also log meals, symptoms and notes in normal language. If something is unclear, the assistant can ask a follow-up instead of forcing you through a form.

You can type a quick message, upload a meal photo or send a voice note. mymolecules turns that input into structured food and symptom context in the background. You can keep it short, like you would in a normal chat.

The most useful inputs are what you ate, when it happened and how you felt afterwards. Preferences, goals, intolerances and avoided foods make the guidance more relevant. Connected wearable data can add extra context, but you do not need to enter everything perfectly.

It compares your meals, symptoms, routines and body signals over time. First useful hints can appear after one to two weeks of regular logging, but stronger patterns need more real-life examples. The assistant is designed to get more useful as your context grows.

Yes. If a meal, symptom or detail was misunderstood, you can correct it in chat. The system is built to handle corrections and update the structured record behind the scenes.

No. mymolecules is a wellness and nutrition product, not a medical device. Glucose-related and metabolic outputs are modeled estimates for everyday reflection, not diagnosis, treatment or therapy decisions.

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. It is designed to identify trends, patterns and possible metabolic responses over time, especially after meals or during different daily states. It is a wellness estimate for everyday personalization, not a medical device, CGM replacement, diagnosis, treatment, disease-monitoring tool or therapy decision system.

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 meals, adapt recipes you already like and help you plan what fits your goals, preferences and current situation. It is designed to improve your everyday eating habits instead of replacing everything with generic plans. The focus is practical personalization that still feels realistic.

Yes. You can add intolerances, allergies, preferences and foods you want to avoid. The assistant can use this when suggesting recipes, adapting meals or comparing options. You can update these details whenever your needs change.

Yes. You can use it to plan meals at home, compare products in the supermarket or choose from a restaurant or cafeteria menu. You can also take a photo of available options and ask mymolecules to help you decide. The idea is to support the real moments where food decisions happen.

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.