Companies

rex.fit

rex.fit

AI-powered fitness and nutrition coach using computer vision, gamified workouts, and wearable nutrition tracking.

HQDover, Delaware, United States
Employees1-50
Jobs checked 4d ago
Specialization
Computer Vision
Business
Software Applicationsand 1 more business values
  • Hardware Manufacturing
Market
Fitness and Wellness
Ecosystem
Applications
Customers
Consumers
More details
Organization type
Commercial Company
Ecosystem
Applications
Business
Software Applications, Hardware Manufacturing
Specialization
Computer Vision
Market
Fitness and Wellness
Customers
Consumers
Delivery models
Hosted Software, Hardware
Revenue models
Subscription
Listing status
Not classified
Latest equity round
Seed
Reported funding amount
Not classified

About

rex.fit builds an AI-powered fitness and nutrition coach for individual consumers, combining gamified workouts, computer-vision feedback, and automated nutrition tracking through a wearable camera. Its differentiation is the combination of personalized AI coaching, interactive exercise experiences, and computer-vision-based nutrition automation.

Market

Rex.fit competes in consumer digital health, AI nutrition tracking, and connected fitness, with an additional B2B SaaS/API segment for gyms and fitness chains. Its positioning is automation-first: rather than relying mainly on manual database entry or a one-off meal photo, The Drop uses an always-on wearable camera, computer vision, and AI to create a continuous nutrition record. Rex.fit also differentiates by combining nutrition, workouts, coaching, and body insights in one experience and by offering white-label integrations for fitness businesses.

Target Customers

Rex.fit primarily targets health- and fitness-oriented consumers who want to lose weight, gain muscle, improve longevity, or track nutrition and workouts with minimal manual effort. Its B2B customer is a fitness-chain operator or wellness brand—typically the product, digital, or innovation buyer—seeking a branded nutrition-tracking app, chatbot, or API integrated into its existing customer experience.

At a Glance

Problem

rex.fit addresses the adherence problem in nutrition and fitness tracking: conventional tools demand too much manual input, so users fail to build a durable habit. Its central use case is someone trying to lose weight, gain muscle, or improve long-term health who wants a reliable picture of what they eat without weighing, searching, and logging every meal. The economic value is primarily behavioral: reducing the friction that causes users to abandon tracking and making nutrition coaching more persistent. Rex says more than 20,000 people used its earlier WhatsApp product, but that experience showed the underlying problem was not solved by chat-based logging alone.

Product / Service

The flagship product is The Drop, a wearable AI camera and companion app. Its onboard computer vision identifies when the user is eating, records the meal, and sends a cropped image to the cloud, where AI estimates calories, protein, carbohydrates, and fats. The app then provides nutrition and health feedback, with integrations planned or available for Apple Health and Google Health. The product is sold through a direct preorder model, with the YC launch materials listing a starting price of $199.

rex.fit also operates a lighter-weight software service through WhatsApp: users can send a food photo or text, request workout suggestions, and receive daily reports and personalized feedback. The company’s terms describe Rex Premium as a subscription unlocking unlimited interactions with its AI fitness and nutrition coach, while its site also advertises B2B API solutions for fitness businesses. Together, the wearable, messaging interface, and coaching layer aim to replace manual logging with passive tracking plus actionable guidance.

Market

rex.fit competes at the intersection of consumer health technology, AI nutrition coaching, calorie-tracking apps, and wearable computing. Its closest alternatives include established logging platforms such as MyFitnessPal and Lifesum, as well as newer photo-based AI calorie trackers such as Cal AI. Rex’s differentiation is the attempt to make tracking passive through a dedicated camera wearable rather than requiring users to initiate a log in a mobile app; its WhatsApp coach is a more accessible software-only entry point.

The company is an active YC Winter 2023 startup and has demonstrated early demand rather than remaining purely conceptual. The Drop’s Kickstarter raised $93,288 from 411 backers against an $8,600 goal, and YC reported more than $93,000 in preorders, approximately 450 units, after launch. The product site was still taking preorders in 2026, while Rex’s terms and B2B API offering indicate intended subscription and business monetization. However, the available evidence does not disclose Rex.fit’s own recurring revenue, shipped-unit count, or profitability, so it is best characterized as a commercially launched but revenue-unverified startup rather than confidently labeled either mature or pre-revenue.

Founders & Leadership

Rangel MilushevFounder
Co-Founder & CEO
Ahmad RoumieFounder
Founder/CTO

Funding History

2023-04
Seed$800K

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Business Model

rex.fit monetizes Rex Premium as a subscription membership that unlocks exclusive features and unlimited interactions with its AI fitness and nutrition coach. Its wearable-camera product has also generated revenue through preorders, with YC reporting more than $93,000 in preorders across roughly 450 units.

Products

The Drop: an AI wearable camera/pendant that automatically tracks food intake and estimates calories, protein, carbohydrates, fats, and other nutrientsRex Nutribot: an AI nutrition and fitness coach delivered through WhatsApp, with photo/text meal logging, workout recommendations, reports, and remindersRex AI fitness app: gamified workout tracking, personalized workout suggestions, meal logging, daily feedback, and AI body scanningRex B2B White Label/API Solutions: customized nutrition and workout tracking for fitness chains’ apps and chatbots

Tech Stack

Computer visionArtificial intelligence and machine learningLarge language models (LLMs) and natural-language processingCloud-based image and meal analysisOn-device AI inference via a wearable smart AI chipNutrition databases and API/white-label integrationsMobile and chatbot interfaces, including WhatsApp and Telegram

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Competitors

Cal AI
SnapCalorie
Foodvisor
MyFitnessPal
Cronometer
Lose It