AI for Food Recognition and Nutrition Analysis

Automating and providing an added value to the food sector.

food recognition self-service restaurants fast easy checkout kiosk touchless solution

To power your Health, Wellness and Sports Apps

AI Food Analysis API

For Dietitians and Nutritionists

Nutrition Analysis Tools for You, and for your Clients / Patients

For Sports Nutrition and Performance Professionals

Nutrition Analysis Tools for Sportspeople

food recognition self-service restaurants fast easy checkout kiosk touchless solution

For Self-Service Restaurants and Canteens

Touchless Self-Checkout Kiosk

For Hospitals

Nutrition Analysis Tools for Inpatients and Outpatients

Why Us?

Experts in food recognition

Our general purpose Food API detects over 1300 different dishes using the biggest food image dataset in the world.

We have published 25 international papers about food recognition.

Years of experience in computer vision

Our team has up to 30 years of experience in computer vision both on the industrial and on the academic sectors.

Furthermore, we have been developing Deep Learning algorithms for over 7 years.

Successful stories

Our solutions have been applied on several projects and contexts.

From food tracking for the elderly; to medical solutions like nutrition estimation for diabetes or renal diseasepatients; to autonomous checkout devices for self-service restaurants.

Our clients have applied our AI Food Detection solution on several projects and contexts. From food tracking for the elderly or for people who want to follow a healthy lifestyle; to medical solutions like nutrition estimation for diabetes or renal disease patients.

Executive Board

team member research petia
PETIA

Research Advisor and Co-Founder

team member cto marc
MARC

CTO and Co-Founder

team member ceo eric verdaguer
ERIC

CEO and Co-Founder

team member cdo francesc
FRANCESC

Business Development Manager

Trusted by

Nestle validithi project kidney transplant renal patients
Porsche logmeal kiosk project canteen employees self-checkout
Unilever api food recognition products
Bingoal UCI Cycling Team api food recognition nutritionists dietitians sports
LaLiga football team api food recognition nutritionists dietitians sports
ACB Basket Girona basketball team api food recognition nutritionists dietitians sports
Real Club Deportivo LaLiga football team api food recognition nutritionists dietitians sports
EIT logo validithi project kidney transplant renal patients
UMCG university medical center groningen kidney transplant health renal disease patients
evidenze group health medical food nutrition
asc academics business model analysis success
shapes food aging european union horizon food api nutrition elderly
validithi renal disease food recognition tracking
Universitat de Barcelona UB computer vision deep learning
CVC computer vision center UAB deep learning
UAB universitat autonoma barcelona university UAB deep learning computer science
upm universidad politecnica madrid university computer science
university stirling scotland computer science
hes so university computer science
universite montreal university computer science
Eurecat technological center Nestore nutrition health
life360 food nutrition health longevity lifestyle wellbeing
lifestyle liti food nutrition wellbeing
social diabetes health lifestyle wellbeing
happi app food nutrition health lifestyle wellbeing
droobi health lifestyle wellbeing food nutrition
healthy lifestyle and nutrition greenhabit app
Nestore consortium elderly people food tracking
tyler manage nutrition sensor coach health
health mov wellness nutrition food tracking
selego food nutrition
sviluppoh digital innovation software
somosfit wellbeing health food nutrition tracking
super bilders digital innovation software
sauce digital innovation software

Press

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