Cenz Health
Cenz Health: A New Health Category, Made Easy to Understand
A longevity product that made a new health category easy to understand — store-ready in a 2-week MVP sprint.
2 weeks
Sprint
Focused MVP, built around the flows that prove the category
Store-ready
Status
Published on Apple App Store + Google Play
Challenge
- • Cenz Health is a Singapore longevity and precision-nutrition platform launching a brand-new health category.
- • Biomarker data, nutrition goals, meal logging, and ordering lived as separate ideas—no single product made the category easy to understand.
Approach
- → Ran a focused 2-week MVP sprint built around the flows that prove the category.
- → Built the mobile app, backend API, and analytics as one connected journey.
- → Added AI meal scan so logging a meal is a single photo, not a form.
- → Wired in the meal-ordering flow to close the loop from insight to action.
Tech Stack
Outcome
- ✓ A store-ready product, published on the Apple App Store and Google Play.
- ✓ Users could understand the new health category straight from the product itself.
- ✓ Early traction for a new category—proof the flows hold up with real users.
The Problem
Cenz Health is a Singapore longevity and precision-nutrition platform—and the category itself is new. Biomarker data, nutrition goals, meal logging, and meal ordering each made sense on their own, but no single product tied them together. If a first-time user couldn’t grasp the category from the app, the launch wouldn’t land.
The goal: turn all of it into one clear journey that makes a brand-new health category easy to understand.
The System
We ran a focused 2-week MVP sprint, scoped around the flows that prove the category rather than every feature it could eventually hold:
- Mobile App: React Native, the user-facing journey from biomarkers to action
- Backend API: Node.js services with PostgreSQL, plus analytics to read real usage
- AI Meal Scan: Google Cloud Vision and OpenAI turn a photo into a logged meal—no forms
- Meal Ordering: the flow that closes the loop from insight to next meal
Each piece exists to make the category legible, not to pad the build.
The Outcome
The product shipped store-ready and is published on the Apple App Store and Google Play. The signal that mattered most: users could understand the business category from the product itself—early traction for a category that didn’t exist before.
Technical Delivery
- Mobile: React Native (cross-platform)
- Backend: Node.js + PostgreSQL, with analytics
- AI: Google Cloud Vision + OpenAI (AI meal scan)
- Infrastructure: AWS hosting
- Architecture: Monorepo
A 2-week MVP sprint for Cenz Health, 2026.
