Snap a Photo
Simply take an image of your food and get information on its nutritional content. No need to search through endlessly long lists of foods or to use a scale to determine portion sizes.
Get Nutrition Information
SNAQ not only recognizes the foods but also estimates the portion size. For even more automation the suggestions are personalized based on an individuals’ habits and common local foods.
Learn From Past Meals
Everyone has a different postprandial glucose response to the same meal. By bringing nutrition, glucose and other information of the past into the current context, we enable you to make data-driven decisions.
Clients and Partners
Sanitas Health Insurance has over 800,000 insured persons. The SNAQ Food Scanner got integrated into the Sanitas Active App.
With 1.34 million insured in compulsory health insurance, CSS is the largest health insurer in Switzerland. In collaboration with CSS, SNAQ developed an iron deficiency prevention app.
Diabetes Center Berne
The Diabetes Center Berne improves the therapy of people with diabetes mellitus by adressing unmet needs.
The University Hospital Zurich is one of the largest hospitals in Switzerland and combines 44 clinics and institutes under one roof. In collaboration, we are conducting a food analysis study.
The bytes4diabetes Award is a competition initiated to promote innovation in the field of diabetes. Its one of the largest diabetes innovation prizes in Europe. In 2020, SNAQ won the first price.
NVIDIA Inception Program
NVIDIA Inception nurtures cutting-edge AI startups who are revolutionizing industries. This virtual accelerator offers go-to-market support, expertise, and technology for program members through deep learning training, exclusive Inception events, preferred pricing on hardware, and more.
Reveal The Impact Of Food On Health
It is our mission to reveal the impact of food on health. SNAQ’s patent pending and scientifically verified technology provides users the most convenient and accurate way to capture nutritional intake and helps to manage the impact of food on health through personalized insights and recommendations.
Aurelian strategically drives SNAQ forward, always with the vision of SNAQ in mind.
Nico makes sure that the complex technical processes in the background run smoothly.
Alexander is constantly working to make the app as user-friendly as possible.
Machine Learning Engineer
David ensures that SNAQ can reliably detect thousands of meals.