R&D in Progress

Building Taste Models for the Future of Food

We're creating AI intelligence to transform how people interact with food and how restaurants understand their meals. Welcome to Flavar Intelligence.

FLAVAR App on Phone
FLAVAR

Our Vision

Flavar is building taste models to revolutionize the culinary experience. We're more than just understanding what goes into a restaurant—we're uncovering the why behind every meal.

Understanding Food

Deep analysis of recipes, ingredients, and culinary relationships through AI models

User Interaction

Learning how diners engage with menus and make dining decisions

Restaurant Intelligence

Providing restaurants with data-driven insights into their culinary offerings

Global Scale

Serving enterprise customers to understand flavors across different regions

Technical Architecture & Intelligence Layer

Built on industry-leading cloud infrastructure with cutting-edge AI orchestration

Cloud Infrastructure

Our platform is architected on Google Cloud Platform, leveraging Vertex AI for model orchestration, fine-tuning, and deployment.

Flavor Graph Engine

We utilize Vector Search and semantic embeddings to map unstructured culinary data into a proprietary, high-dimensional Flavor Graph.

Data Intelligence

By integrating BigQuery, we analyze global gastronomy supply chain datasets to identify emerging trends and flavor relationships at scale.

AI Orchestration

We implement Retrieval-Augmented Generation (RAG) grounded in culinary-specific data to ensure the highest accuracy in flavor profiling and automated insights.

Flavar Intelligence

Four intertwined AI models working together to create the ultimate culinary intelligence platform

Taste Model

The core of our Flavar Intelligence. This model understands meals based on diverse data sources including recipes, user comments, images, and interaction patterns. It's the foundation that powers all other models, creating a comprehensive understanding of taste profiles and culinary preferences.

Adaptive Menu Model

Rapid A/B testing technology that understands why users interact in certain ways and uses data to better control the app experience. Adapts to different goals like increasing average order value or streamlining orders during peak hours. The end goal: present the best UI for each individual user.

Recommendation Model

Intelligently recommends meal combinations—starters, drinks, sides, and mains—for both single diners and groups. Uses insights from the Taste Model and Adaptive Menu Model to create personalized dining experiences that maximize satisfaction and discovery.

Interpretation Model

Goes beyond translation to true cultural interpretation. Understands how different cultures interact with menus, adapts to individual and group tastes, and explains new unexplored meals in contextually relevant ways. Bridges cultural gaps to make every dish approachable.

Flavar Diner Solutions

As an R&D company, we're proving our technology through real-world applications. Our product serves both as validation of our models and as a tool for enterprise customers.

AI-Powered Menus

Intelligent menu applications that adapt to user preferences and optimize the dining experience in real-time.

Kitchen Apps

Integrated kitchen management systems that streamline operations and connect front-of-house with back-of-house.

Analytics Dashboard

Comprehensive dashboards providing insights into customer preferences, order patterns, and operational efficiency.

We're currently serving enterprise customers in pursuit of better understanding the flavors and tastes of users across different regions, continuously improving our Flavar Intelligence models.