Case Studies / Healthcare
Laundry and Dry Cleaning in a Few Taps
Novatore helped Washmen, a UAE laundry and dry cleaning service, build a booking app on one Flutter codebase for iOS and Android.
0+
Users across the UAE
0.
Services in one app
0.
Flutter codebase for iOS and Android
0+
UAE cities served
Executive Summary
Washmen picks up, cleans and returns laundry for households across Dubai, Abu Dhabi and Sharjah. Its services range from clean and press to shoe and bag care, and customers expect to book in seconds. Novatore designed and developed a booking and coordination app with Flutter and React that runs on iOS and Android from one codebase.
The Challenge
Booking Laundry Took Too Many Steps.
Customers wanted laundry handled as easily as ordering food.
Multi-step booking
Scheduling pickups, choosing services and tracking orders took too long.
Two platforms to support
Customers used both iPhone and Android, which meant two apps to build and maintain.
Complex operations
Pickups, cleaning and deliveries had to stay coordinated across three cities.
Our Solution
One App for Every Laundry Need.
We built a booking and coordination app on Flutter and React.
Outcome
Faster Booking, Happier Customers.
Washmen gives customers a simple way to handle laundry on both iPhone and Android.
Booking in a Few Taps
A multi-step laundry process is now a few taps.
Both Platforms Covered
One Flutter app serves iOS and Android users.
Both Platforms Covered
One Flutter app serves iOS and Android users.
Coordinated Operations
Pickups and deliveries run from one system.
Trusted at Scale
The app serves more than 100,000 users across the UAE.
Tools & Tech Stack
Technologies We Build With
Results
Proven Builds, Not Just Prototypes
Real projects, real outcomes, from AI-powered platforms to products used every day.

AI-Powered Triage System for Regional Hospital Network
AI-driven triage system for a regional hospital network. Cut ER wait times by 62% and tripled diagnostic throughput.
Symptom Triage
62% reduction
System Efficiency
3x faster
Challenge: Regional hospital teams faced long emergency-room wait times and fragmented symptom-assessment workflows that slowed diagnosis and patient routing.
Solution: We built an AI-powered triage platform that analyzes symptoms, prioritizes clinical urgency, and routes patients through one coordinated diagnostic workflow.
Result: The platform reduced ER wait times by 62% and made diagnostic throughput three times faster.
Read Case Study
FHIR-Compliant Data Unification Platform
Unified patient records across 12 hospital systems using FHIR standards. Achieved 100% data interoperability with real-time EHR sync.
Symptom Triage
100% unified
System Efficiency
EHR sync
Challenge: 12 disconnected hospital systems stored patient records in incompatible formats, forcing clinicians to manually reconcile data across platforms.
Solution: We built a FHIR-compliant integration layer that unifies patient records in real time and syncs directly with each hospital's EHR system.
Result: Achieved 100% data interoperability across all 12 systems with live EHR synchronization.
Read Case Study
Remote Patient Monitoring for Chronic Care
IoT-enabled remote monitoring platform for chronic care patients. Reduced hospital readmissions by 40% with 24/7 vital tracking.
Symptom Triage
40% reduction
System Efficiency
24/7 tracked
Challenge: Chronic care patients required frequent in-person visits to track vitals, straining clinical staff and delaying early intervention.
Solution: We built an IoT-enabled remote monitoring platform that streams vital signs to care teams around the clock.
Result: Reduced hospital readmissions by 40% with continuous 24/7 vital tracking.
Read Case Study