Comi AI Opens Waitlist for Latin American Food-Trained AI Calorie-Counter Colombia App

September 16 06:00 2026
Comi AI Opens Waitlist for Latin American Food-Trained AI Calorie-Counter Colombia App
The app identifies traditional regional dishes, such as bandeja paisa, ajiaco, and sancocho, directly from a photo. Comi AI sources Colombian food data from the official national food composition table.

BOGOTA, Colombia – September 16, 2026 – Comi AI announced it has opened its waitlist for an AI calorie counter built from scratch for food consumed across Latin America. The calorie-counter Colombia app analyzes meal photos and calculates macros in seconds, providing users with an estimated breakdown of calories and macronutrients: protein, carbohydrates, and fats.

With its robust technical architecture and data handling, Comi AI delivers a seamless, secure, and privacy-focused tracking experience tailored for performance. The developers built the model around the foods people actually eat daily, enabling the app to recognize distinct regional items by name, including bandeja paisa, ajiaco, arepa, sancocho, empanada, ceviche, pupusas, lechona, mondongo, and tacos. Rather than a generic translated database, data for Colombian foods come directly from the ICBF’s TCAC (the official food composition table from the Colombian Institute of Family Welfare).

Comi AI offers five logging options, including photo recognition, barcode scan, text entry, voice input, and database search. It also boasts seamless tracking features, including exercise logging (calories burned), Apple Health synchronization, water tracking, streaks, meal history, and an AI-generated weekly report dashboard.

The Comi AI Interface is fully localized in Spanish using authentic local meal times (desayuno, almuerzo, onces, and merienda) rather than literal translations of standard English meal categories. User data is hosted on Supabase with encryption in transit and at rest, protected by row-level security per user. Users retain full rights to export or delete their data directly within the app.

The system also handles offline queues, where scans taken without signal are saved locally on the device and processed once connectivity returns. This feature is ideal for low-reception environments like basement venues or thick-walled restaurants.

“A photo identifies a dish much better than it can guess exact portion sizes, and being transparent about that is core to the product. We prefer a user-verified estimate over a number pretending to be exact,” said Jose Gaviria, AI Food Tech Specialist at Comi AI.

Comi AI operates across nine markets: Mexico, Colombia, Argentina, Peru, Chile, Venezuela, Ecuador, Spain, and the United States. The product is currently in pre-launch, with waitlist registration open at comiai.app.

For more information, visit https://comiai.app/

The problem the app solves is familiar to anyone who has tried logging meals in the region. Dominant nutrition apps are predominantly trained on American diets. Scanning dishes like bandeja paisa, ajiaco, sancocho, or lechona often yields inaccurate results because the underlying models and databases lack these regional entries. Users end up logging “rice and beans” for a meal that bears little resemblance, often abandoning tracking within two weeks.

The technical architecture delivers a seamless, secure, and privacy-focused tracking experience tailored for performance. Built on React Native and Expo with a Supabase backend and Claude AI integration, the app analyzes meal photos and calculates macros in under three seconds.

The architecture operates totally ad-free, prioritizing user privacy through robust end-to-end data encryption and reliable cloud backups. Deep ecosystem integration, including Apple Health synchronization and Apple Watch support, ensures frictionless, real-time nutrition and exercise logging directly from your wrist.

ComiAI is an AI-powered calorie-tracking and nutrition app specifically designed for Colombia and Latin America. Built to solve the limitations of global apps that fail to recognize regional cuisine, ComiAI uses computer vision and Claude AI to instantly identify over 2,000 local dishes from a single photo. Featuring barcode scanning, exercise tracking, Apple Health integration, and a sleek dashboard, ComiAI provides a seamless, culturally tailored health and wellness solution for Latin users, eliminating the tedious need to log ingredients manually.

About the Company:

Comi AI is an AI-powered nutrition app built specifically for Latin American cuisine, prioritizing user privacy through robust end-to-end data encryption and reliable cloud backups. By taking a photo of a meal, users receive estimated calorie and macro tracking supported by five logging methods, a Spanish-first interface, regional dish recognition, and Colombian data sourced from the ICBF’s TCAC. Comi AI covers Mexico, Colombia, Argentina, Peru, Chile, Venezuela, Ecuador, Spain, and the United States.

Media Contact
Company Name: Comi AI
Contact Person: Jose Gaviria, AI Food Tech Specialist
Email: Send Email
City: Bogotá
Country: Colombia
Website: https://comiai.app/

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