The first prototype did one thing: point your camera at a meal and get an Oro Score. That was enough to see something interesting was happening.
Friends who tried it kept asking the same question — "can it do this at the supermarket?" That question became the shelf scanning feature, which turned out to be the hardest engineering problem in the whole project, and also the one that makes the biggest difference in practice.
The ingredient intelligence layer came next. Knowing a food scores 62 is useful. Knowing it scores 62 because it contains three E-numbers with limited safety data is more useful. Orelo now explains what's driving any score, down to the specific compounds in the ingredients list.
Beauty and personal care scanning came from a simple observation: the same people who care about what they put in their bodies tend to care about what they put on them. Skincare ingredients get the same treatment as food — scored, flagged, explained.
The result is an app that does something no other health tracker attempts: it reads the world around you and translates it into something you can actually act on. No manual logging. No food databases to search through. Just point, scan, and know.