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↳ Context:
Despite growing awareness around nutrition, eating well in a high-pace urban environment remains genuinely difficult. Existing solutions like meal kits, supplements, and apps either demand time or address symptoms rather than causes. Misa was designed around a different premise: that personalised nutrition should be effortless to access and accurate enough to be meaningful. The project combines body scanning technology with automated food preparation in a single compact system designed for life in a city like London.
↳ Approach:
The first design decision was narrowing the food format. Soups are nutritionally dense, infinitely variable across cultures, and structurally well-suited to automation: consistent enough in preparation to be mechanised and varied enough to avoid repetition. This made them the right anchor for the system rather than a limitation of it.
Personalisation is driven by OligoScan technology, which assesses vitamin, mineral, and oxidative stress levels in real time. Rather than relying on self-reported dietary preferences, Misa works from biological data — generating meal options that reflect what the body actually needs at that moment.
The physical design followed the same logic of removing friction. The preparation hub and the take-out container are one unified object: after preparation, the container inverts, the blending components are replaced with a sealed base, and a magnetic spoon attaches to the exterior. The user leaves with everything they need and nothing extra.
↳ Outcome:
The result is a system where the complexity sits entirely on the product's side. From the user's perspective, the interaction is close to effortless: a scan, a selection, and a meal that travels with them.