calorIAs

We put today's AI technology in the hands of nutritionists

AI-powered nutrition tracking already exists across Latin America — apps that read a photo and estimate calories and macros in seconds. What they left out was the nutritionist. calorIAs brings that same technology to the professional side of the relationship: AI tools for tracking patients, and AI tools for patients to log what they eat.

Built in Córdoba, Argentina. Currently in development, validating the clinical workflow with pilot nutritionists.

01 A patient logs a mealwith a photo. AI estimates calories and macronutrients instantly.
02 AI organizes it for the professionalAdherence trends, gaps, and patterns are surfaced automatically, before the consultation even starts.
03 The nutritionist adjusts the planWith full context and real intake data, not a guess made from patient recall.

The gap in nutrition apps

AI-powered nutrition tracking already exists. Nutritionists were left out of it.

Current situation

Most nutrition-tracking apps in Latin America already use AI to read a photo and estimate calories and macronutrients. But they were built as consumer products: the professional has no access to that data, no tools to review it, and no role in how the plan gets adjusted.

calorIAs' approach

calorIAs brings the same AI capabilities to the professional side. Nutritionists get AI-assisted tools to track patients, spot patterns, and adjust plans — technology built around their workflow, not around a generic consumer app.

How it works

AI on both sides, one shared history

The tools look different depending on who's using them, but every entry feeds the same patient record.

For nutritionists

AI-powered patient tracking
  1. Every logged meal arrives organized and ready to review — not raw data to sort through by hand.

  2. Adherence trends, recurring gaps, and deviations are surfaced automatically before the consultation.

  3. Plans are adjusted using real intake data, not what the patient remembers reporting.

For patients

AI-powered meal logging
  1. Meals are logged with a single photo; AI estimates calories and macronutrients instantly.

  2. Every entry reaches the nutritionist automatically — no manual reporting required.

  3. Additional AI logging tools are being added on top of photo-based tracking.

Positioning

Where calorIAs differs from typical AI nutrition apps

Typical AI nutrition apps calorIAs
Who gets access to the AI-generated data? Only the patient The nutritionist, in real time
Where does the professional fit in? Outside the product At the center of the workflow
How are patterns detected? Not surfaced, or left for the patient to notice Surfaced automatically for the nutritionist to act on
Is professional review part of the flow? No Yes — it's a required step, not an add-on

About calorIAs

Built in Córdoba, Argentina

calorIAs is a nutrition-tracking platform built by a team of software engineers and nutrition professionals. The product applies AI — the same technology already used across consumer nutrition apps in Latin America — to the side of the process that usually gets left out: the nutritionist.

Development is currently underway with pilot nutritionists in Córdoba, validating the clinical workflow with real patients.

Location
Córdoba, Argentina
Status
In development, validating with pilot nutritionists
Team
Software engineering and clinical nutrition