What Bite AI does

Bite AI is a New York–based food intelligence platform, founded in 2016, that provides machine-learning-powered food recognition and nutrition data to developers and enterprises via APIs and SDKs. Its core products include the Food Recognition API (deep learning image recognition for thousands of foods), the Intelligent Food Logging SDK (photo-based meal logging with personalized suggestions), a proprietary Food Knowledge Graph (hierarchical nutrition, ingredient, and trend data), Nutrition Fact OCR (label parsing), Visual Search, and an upcoming Natural Language Understanding module. Underlying technology consists of in-house deep learning models trained on millions of food images, combined with a structured knowledge graph that incorporates external references such as Wikidata and the USDA Nutrition Database.

The company operates an API-first, product-led go-to-market model: developers access REST and GraphQL APIs and cross-platform SDKs through a self-service developer portal (developer.bite.ai), with integration possible in as little as four lines of code. Revenue is generated through B2B API/SDK licensing on a subscription/usage basis, supplemented by professional services for custom model training and specialized deployments (on-premise and mobile). The primary customer segment is health and fitness app developers, with secondary segments in content/discovery platforms, market research, and social/community moderation. The flagship consumer reference app, Bitesnap, demonstrates the SDK in production and serves as social proof.

Commercial scale is small and largely undisclosed. The company has 11–50 employees, the only confirmed funding round is a 2018 ff Venture Capital investment, no revenue or ARR is publicly reported, and pricing is quote-based for enterprise with no disclosed tiers. The leadership team is led by co-founder and CTO Michal Wolski. The company appears to be founder-owned, privately held, and operating with limited external capital scale.

Name

Bite AI

Legal name

Bite AI, Inc.

Website

https://bite.ai

Company type

Private

Founded year

2016

Operating status

Operating

Headcount range

11–50 employees

Short description

Bite AI is a New York-based food intelligence platform founded in 2016 that provides developers and enterprises with AI-powered food recognition APIs, a food logging SDK, and a proprietary Food Knowledge Graph for nutrition data, primarily serving health and fitness application builders.

Ownership category

akta.pro rank

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales

Revenue model

1. API and SDK Licensing: B2B licensing of food recognition APIs and SDKs to developers and app builders. Pricing likely based on API usage volume or subscription tiers. The company provides RESTful and GraphQL APIs along with cross-platform SDKs.
2. Custom Solutions and Model Training: Custom model development and specialized deployment services including on-premise and mobile device deployments. Hands-on integration support for enterprise clients.

Go-to-market motion2 records

Distribution channels4 records

Marketing channels4 records

Core offering

Bite AI provides a Food Intelligence Platform consisting of machine learning APIs, SDKs, and a proprietary Food Knowledge Graph that enable developers to recognize foods in images, parse nutrition labels, and automate meal logging. The core offerings include the Food Recognition API, the Intelligent Food Logging SDK, and the Food Knowledge Graph, which together allow health, fitness, and content applications to identify dishes, ingredients, and branded products and link them to structured nutrition data.

Product overview

Bite AI is a Food Intelligence Platform providing a suite of machine learning products for food analysis. The core offerings are the Food Recognition API (state-of-the-art image recognition models for detecting and recognizing thousands of foods) and the Intelligent Food Logging SDK (automated meal logging with ML-based food recognition, nutrition database, and personalized search). These are supported by the Food Knowledge Graph (structured nutrition and ingredient database), Nutrition Fact OCR (nutrition label extraction), Natural Language Understanding (text parsing), Visual Search (image-based discovery), and Custom Solutions (tailored model training and deployment). The platform uses deep learning models trained on millions of images and incorporates contextual information and user behavior to improve accuracy.

Differentiator

Problem solved

Functional benefit

Products and services

• Food Recognition API Deep learning-based image recognition API that detects and recognizes thousands of foods including dishes, ingredients, and whole foods. Returns hierarchical predictions, cuisine and preparation method attributes, and improves accuracy over time via personalization. Targeted at developers building food, nutrition, and content applications.
• Intelligent Food Logging SDK Machine learning SDK that automates meal logging inside third-party applications, including image-based logging in as little as 5 seconds, barcode scanning, offline support, personalized faceted search, and integration with the Food Knowledge Graph for nutrition data. Targeted at app developers building nutrition, diet, and fitness experiences.
• Food Knowledge Graph Structured food database containing nutrition information, ingredients, hierarchical categorizations, and relationships from high-level concepts such as beverages and sandwiches down to specific branded products. Includes popularity and trend statistics for reasoning about food consumption.

Quantifiable outcome

• Meal logging reduced from minutes to seconds
• +1 more outcomes

Named customers2 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature8 records

Partnerships

One partnership is on record.

• BitesnapcoreOEM/ Whitelabel/ Licensing PartnerBitesnap is the company's flagship consumer application powered by Bite AI's technology. It serves as a reference implementation demonstrating the SDK capabilities. The app features AI-powered food recognition for quick meal logging via photo, integrated nutrition database, and personalized suggestions. Bitesnap appears to be either a white-label deployment or closely aligned product using Bite AI's core technology.

Scale indicators1 record

Recent moves6 records

Expansion highlights4 records

Direct peers

• FatSecret Platform: FatSecret offers a food database and nutrition API used by app developers for calorie counting and food logging. It is a direct comparable in the developer nutrition API space that Bite AI serves.
• Edamam: Edamam offers nutrition analysis and recipe APIs to developers and food brands, with structured food data and natural language parsing. It overlaps directly with Bite AI's NLU, nutrition data, and developer-API GTM motion.
• Spoonacular: Spoonacular provides food, recipe, nutrition, and meal-planning APIs to developers. It competes for the same developer customers building health, fitness, and recipe applications that Bite AI targets.
• Nutritionix: Nutritionix provides a developer-facing nutrition database and food logging API used by health and fitness apps. It is the most directly comparable peer to Bite AI's Food Knowledge Graph and food logging SDK, competing for the same developer customer in nutrition tracking.
• LogMeal: LogMeal provides image-based food recognition APIs focused on dish detection and volume estimation. It is a vertical food recognition peer competing for the same developer use cases as Bite AI's Food Recognition API.

Broad incumbents

• Google Cloud Vision AI: Google Cloud Vision is a broad image recognition API with label detection that includes food categories. It is a hyperscaler incumbent that competes indirectly by offering food recognition as part of a much wider vision portfolio.
• Clarifai: Clarifai is a general-purpose computer vision platform with food-specific models and a developer API. It is a broader incumbent whose food category overlaps with Bite AI but whose platform is not food-specialized.
• AWS Rekognition: AWS Rekognition is a general-purpose image and video analysis service from AWS that includes label detection usable for food contexts. It is a broad incumbent whose capabilities overlap but are not food-specialized.

Emerging players

• Veryfi: Veryfi provides OCR and data extraction APIs, including for receipts and product labels. It overlaps with Bite AI's Nutrition Fact OCR in specialized OCR for food packaging and is an emerging player in adjacent document/label AI.
• MyFitnessPal (API/Platform): MyFitnessPal operates one of the largest consumer food databases and has historically exposed nutrition data to partners. It is an emerging platform peer with overlapping food data assets and developer-facing reach.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/biteai

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Bite AI