SafeFoodHub — A 16-App Allergen Scanner Ecosystem on One Backend
A family of 16 white-label mobile apps for the European market, one per allergen, on a single backend. AI-powered OCR + 5-tier smart lookup + credit-based subscription. All live on App Store + Google Play.
Projects about
SafeFoodHub is an ecosystem managing 16 white-label mobile apps on a single shared infrastructure for the European allergen-scanning market. Instead of generic "scan-everything" apps, a strategy of one specialized app per allergen: gluten-free, dairy-free, peanut-free, vegan, halal, and more — each with its own brand identity, all live on App Store and Google Play.
Business problems solved
- Niche allergen users get lost: Gluten-free consumers don't want to wade through dairy or nuts data. Each allergen gets its own focused, simple app experience.
- White-label scaling cost: Instead of maintaining 16 separate codebases, a shared infrastructure ships a new allergen category in days.
- Database enrichment: Products missing from public data sources grow via user contribution — the system feeds itself over time.
- Coordinated 16-store release management: Single-point security patches + synchronized rollouts to all apps, safe legacy retirement.
Modules
Each allergen with its own brand identity, color, and store listing — all powered by the shared infrastructure.
Barcode lookup with database match. For products not found, AI-powered label-photo analysis (OCR) returns a result.
Free tier + premium plans. Users who contribute to the database earn bonuses — community-driven economy.
Modern security layer, GDPR-compliant PII protection, synchronized version management across all stores.
Single-point management of 16 apps: version enforcement, user-contribution approval, plan/credit management.
UK, EU, Turkey, MENA, Russia — integrated with leading food-safety data sources across each region.
Technology
Outcome
One deploy → 16 products in stores. Adding a new allergen category is possible in a very short time. The user-contribution loop grows the database daily, reducing AI dependency over time — a sustainable user economy.