About

A nutrition app should show its work.

Most food apps hand you one number and ask you to trust it. Svelio hands you the reasoning: which food, what portion, graded against what, and where the figure came from. If we cannot show you that, we would rather show you nothing.

Frank Schioppa

Founder, Montebay Innovations

Svelio is designed, built, and run by one person. Every extraction rule, threshold, and line of copy in the product came from the same desk, which means there is exactly one person to hold responsible when something in it is wrong. That is on purpose.

Why I built it

I built Svelio because I did not trust the answers I was getting from the apps already on the market. The problem was not that they were occasionally off. It was that I could not tell when. One app would give a food one number and another would give it a different one, and the same app would give the same food two different answers on two different days. An estimate you cannot check is not a measurement, and a number you cannot repeat is not something to make a health decision on. That is the whole design brief. Read the label wherever a label exists. Grade against a published standard rather than an opinion. Show which food, what portion, and where every figure came from. Say plainly when something is an estimate, and say nothing at all rather than fill a gap with a number that merely looks right. Here is what that costs in practice. A crowded plate hides food behind other food, so Svelio lets you shoot the same meal from up to three angles and counts anything visible in any one of them. What it will not do is tell you that makes the number right. We tested whether a second angle improves the portion weight itself, and on weighed plates it did not. So the feature stays, because seeing a piece you would otherwise have missed is worth something, and the claim does not, because we could not support it. That is the trade this whole product makes. I would rather ship an honest limitation than a confident number.

Why Svelio exists

Research from the NIH's National Institute of Diabetes and Digestive and Kidney Diseases, using meals from the NIH Clinical Center's metabolic kitchen, found that photo-based calorie apps systematically under-count: roughly 250 to 345 calories and about 30 grams of fat missed per meal on average, worst on higher-fat food. That is not a rounding error. Over a day it is the whole deficit someone was trying to hold.

The reason is structural. A single photograph does not carry portion mass, and it does not carry an ingredient list. An app that answers anyway has to guess, and a guess presented as a number is indistinguishable from a measurement to the person reading it.

So Svelio starts from the printed label wherever one exists, grades 23 nutrients against FDA Daily Values with fixed rules, flags 44 additives with their regulatory history, and checks the marketing on the front of the package against the ingredients on the back. When there is no label, it itemizes the plate instead of lumping it into one figure, so you can see the parts and correct any of them.

What Svelio will and will not do

The label is the ground truth

Where a food carries a printed Nutrition Facts panel, that panel is the reference. Svelio reads it rather than guessing from a photo. Where there is no label, a real plate is itemized food by food and each portion is sized against USDA reference data, and the result is marked an estimate because that is what it is.

Every conclusion traces to a number

Nutrient grading is deterministic. The same food scores the same way every time, against FDA Daily Values, direction-aware so that high sodium reads as a limit and high fiber reads as a goal. The AI narrates what the rules already produced. It never produces the classification itself, and it cannot invent a food you did not log.

The front of the box gets checked against the back

"All Natural" next to an artificial color. "No Added Sugar" next to high-fructose corn syrup. Svelio flags the contradiction only when the claim is actually stated and the data actually contradicts it. We never manufacture a mismatch to make a product look worse than it is.

No brand influence, no pay-for-placement

Svelio takes no money from food manufacturers and carries no affiliate links, sponsored placements, or commissions anywhere in the product, including the recommendation surfaces. Nothing about what a product scores depends on who makes it. We grade the label, not the logo.

Missing data beats wrong data

If a scan cannot read a value confidently, Svelio leaves it out and says so rather than filling the gap with a plausible number. A photo carries no ingredient list, so a photo is never presented as an allergen check. Being honestly incomplete is the only version of this product worth shipping.

Where things stand

Svelio is early. It runs on the web, on iOS, and on Android, and it is built by one person rather than a team with a marketing budget. You will not find borrowed credibility on this site: no invented testimonials, no stock photography, no user counts we have not earned. What is here is the product and the reasoning behind it. If that is enough to be worth your time, the free tier needs no card.

The company

Svelio is operated by Montebay Innovations LLC, a Florida limited liability company in the United States. Questions, corrections, and disagreements are all welcome at info@svelio.io. If you find a number in this product you believe is wrong, that is the most useful message you can send.

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