Newt turns every blend into a verified feeding record with near‑zero effort. Months of those records become something a pure‑app competitor cannot replicate — a personal nutrition layer for your infant.
Personalization at infant scale needs longitudinal, verified, low‑friction data. Pure software can't get there because parents won't keep logging. Newt removes the friction at the source.
Every blend is sensed — time, duration, texture proxy, approximate volume. The record starts before the parent picks up the phone.
What the device knows is pre‑filled. What it can't know — what your baby actually ate — is one tap. Reaction is optional. The loop holds because it costs nothing.
Months of verified feedings — texture progressions, allergen introductions, intake patterns — become the substrate for a personalization layer no purely software product can build.
When the device reports a verified blend, the app surfaces it with everything it already knows — and asks one question only the parent can answer.
BLE pairing in under a minute. From then on, every blend is auto‑detected.
Time, texture and approximate volume are pre‑filled from the device. One tap to log this feeding.
All · Most · Some · A little · Refused. The single highest‑value field a sensor can't capture.
The timeline fills. Foods introduced count up. Patterns emerge — and become the input to V2 personalization.
The data the device captures becomes a quiet layer of personalization for your baby: foods they love, what's worth trying next, allergens introduced, readiness for the next texture. We hold a hard line on the medical‑claims boundary.
Foods Vayu has consistently eaten "All" or "Most" over the last 14 days.
Similar texture to foods Vayu has eaten well. Common at this stage. Not an introduced allergen yet.
Egg, peanut, dairy and three others have been logged. Three remain.
Smooth purées eaten consistently for 14+ days. Most caregivers progress around now.
V2 personalization unlocks after V1 ships in summer 2027. The demo app already runs the logic — feed in any data and watch it light up.
Open demo →V1 is deliberately narrow. Capture first; personalization only when the capture loop has held over time. Anything that interprets data into advice waits for V2 and beyond.
This app holds data about a baby. Privacy, consent and the medical‑claims boundary are hard requirements — not a policy afterthought.
Early waitlist gets priority for V1 hardware in summer 2027 and the V2 personalization rollout that follows.