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 Apps

AI Food Analysis API

For Dietitians and Nutritionists

Nutrition Analysis Tool for your Clients

For Sports Nutrition Professionals

Nutrition Analysis Tool for Sportspeople

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

For Self-Service Restaurants

Touchless Self-Checkout Kiosk

For Hospitals

Nutrition Analysis Tool 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

Supported by

UMCG university medical center groningen kidney transplant health renal disease patients
asc academics business model analysis success
CVC computer vision center logo UAB deep learning
Grupo Pulso logo knowledge in health diabetes patients food tracking
Eurecat logo technological center Nestore nutrition health
healthy lifestyle and nutrition greenhabit app
validithi renal disease food recognition tracking
Nestle logo validithi project kidney transplant renal patients
EIT logo validithi project kidney transplant renal patients
Nestore consortium logo elderly people food tracking
nvidia AI deep learning food recognition
Universitat de Barcelona UB logo computer vision deep learning

Press

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