Build Smarter
Food Applications.
Use state of the art machine learning algorithms to recognize, understand and reason about food.
Jam
Strawberries
Pancakes
Sauce
Cream
Plum
Food Recognition
Use our state of the art image recognition models to analyze what your users eat, determine what's trending and make your content easier to find.
Hierarchical Predictions
Detect high level categories like beverage and soup as well as specific dishes and ingredients.
Categorization
Predict item attributes like cuisine, preparation method and flavor.
Personalization
Get unmatched recognition accuracy with models that use a user's eating habits to refine predictions and automatically learn to recognize past meals.
Rhubarb Pie
Pancakes with Cream and Strawberries
Muesli with Greek Yogurt and Nectarines
Intelligent Food Logging SDK
Automate meal logging with a fully featured machine learning based food logging SDK.
Engaging Image Based Logging
With food recognition logging a meal takes as little as 5 seconds. Our machine learning models learn to recognize past meals and improve with usage.
Comprehensive Nutrition Database
Integrated with our Food Knowledge Graph that contains a large set of commonly eaten foods, with nutrition facts, and hierarchical structure.
Personalized Search and Recommendations
Includes faceted instant search that's personalized to the user, so most likely foods can be found with a single key stroke.
Food Knowledge Graph
Reason about food. Get access to our database of nutrition information, ingredients, categorizations, and relations.
Food Hierarchy
Organized from high level concepts like beverage and sandwich down to specific branded products and variants.
Categorization
Categorized by dietary trends, cuisine, preparation method and restrictions.
Nutrition Information
Most items include calories, macro and micro nutrients as well as ingredients.
Trends
Statistics on popularity, most likely consumption time and most likely items to be consumed with.
Name
Special K Cereal
Brand
Kellogg's
Parents
Children
Popularity
0.7
Calories
120
Nutrition Fact OCR
Collect nutrition information from any package using tailored optical character recognition models.
Unmatched Accuracy
Unlike a standard OCR solution, our models are optimized for nutrition labels, leading to much higher accuracy.
Structured Output
Returns structured nutrition fact responses that are compatible with out knowledge graph representation.
Natural Language UnderstandingComing Soon
Turn unstructured text into a semantic representation that's easier to index and search.
Parsing
Parse food names and recipes, identifying items, preparation methods, brands and serving sizes.
Categorization
Predict cuisine, dish types, high-level categories and ingredients from text.
Semantic Similarity
Make sense of user generated text by find semantically similar items in your database.
Input
"Creamy Chicken and Wild Rice Soup"
Parsed
CONST CreamyING Chicken and ING Wild RiceDISH Soup
Hierarchy
is type of
is type of
is type of
Categorization
Cuisine:
Dietary:
Meal:
Visual Search
Make your content easier to find by enabling users to search by image.
Improve Relevance
Help users find exactly what they're looking for instead of hoping that they'll be able to put together a specific enough text based query.
Match More Content
Surface more results by match similar items when exact results are not available.
Understand User Intent
View what your users are actually looking for to get deeper insights on their intent.
Custom Solutions
We're committed to your success and will work with you to provide an optimal solution for your problem.
Custom Models
If you need to detect or parse specific concepts we can help you tune our models for your use case.
Specialized Deployments
We can help you deploy your models for bulk, offline or low latency inference, including on premise and on mobile devices.
Integration Assistance
We can help you get from 0 to 1 and make the most of our technology with hands on integration support.
