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About Kallo

Kallo is a nutrition tracker that starts from a sentence. You describe what you ate the way you would tell a friend — "big bowl of phở, extra rare beef" — and Kallo splits it into dishes, then into ingredients, and derives calories and macros from published food-composition data.

Why it exists

Most nutrition apps make you translate your meal into their language: search for each ingredient, pick a row that looks close, guess the portion, repeat. For a bowl of noodle soup with ten things in it, that takes longer than the meal did. People give up, and the app is useless to them.

Kallo was built in Vietnam, and that is not incidental. In Vietnamese food the ingredient is rarely the hard part — the portion is. Nobody weighs a bowl of phở. What matters is how big the bowl was, whether the chicken had its skin on, whether the potatoes were deep-fried or air-fried. So Kallo reads those details out of the sentence instead of asking you to encode them in a search box, and it asks when the portion genuinely cannot be settled rather than guessing quietly.

It reads Vietnamese, English, or a sentence that switches between them mid-clause.

Where the numbers come from

Every ingredient is matched against published food-composition data — the Vietnam National Food Composition Table 2007, plus FAO and USDA tables — rather than a figure the language model produced. The model's job is to read your sentence and decide what you ate and roughly how much; the arithmetic is done against reference data, and the source is recorded per row.

This matters because the failure mode of an AI nutrition app is a plausible invented number. Kallo is built so that the invented part is the portion estimate, which is honest about being an estimate, and never the composition figure, which is looked up.

What it does not do

  • It is not a photo app. Kallo starts from text on purpose. A sentence shows you what it understood, lets you correct the one thing that is wrong, and gives the same result next time. See how estimates work for the full comparison.
  • It is not a medical device. Estimates carry real error, and the docs say by how much rather than presenting a number without its limits.
  • It does not sell your data. What is stored, and what actually reaches the AI model, is set out in your data and the privacy policy.

Who makes it

Kallo is made by VÕ MINH KHÔI, an independent developer in Ho Chi Minh City, Vietnam. It is not a company with a support department; it is one person who answers the support address. The data controller and full registered address are named in the privacy policy, as data protection law requires.

Kallo is currently free while it is in beta. The pricing on the landing page is what starts when beta ends, and existing users will be told before that happens.

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