Quietude: Mental Wellness Platform | Nine Pixels Case Study
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App Development

Quietude: Mental Wellness Platform

Mental Health · Flutter · iOS & Android · CBT-Based

👥6-person dedicated team
🕑10 months
📱iOS & Android
⚙️Flutter + Firebase + Python ML
Quietude
Day-30 retention rate
44%
Day-30 retention (avg: 18%)
44%
All sensitive ML inference
On-device
Report reduced anxiety
82%
Overview

Quietude combines CBT exercises, mood tracking, and AI journalling prompts, built for users who want more structure than a meditation timer but less rigidity than clinical therapy. Nine Pixels built the product with a clinical psychologist embedded in the team. All sensitive ML inference runs on-device: no raw journal content ever leaves the device.

The Challenge

Mental health app UX must be calming and low-friction even when users are in distress. The mood tracking system needed a custom on-device ML model to surface personalised insights without feeling intrusive. Privacy was absolute: no raw journal data could ever reach a server.

Our Solution

Flutter chosen for superior animation control for the app's breathing room screen transitions. Design built on three principles: never rush the user, always acknowledge emotional input, turn usage data into something the user wants to open, not avoid. A fine-tuned BERT variant identifies mood trajectory patterns and surfaces gentle intervention prompts. All ML inference via TFLite on-device.

Technology Stack
FlutterFirebasePython + TensorFlowTFLite (on-device ML)RevenueCatMixpanelContentful (CBT CMS)WebSockets
Results
44%
Day-30 retention rate
44%
Day-30 retention (avg: 18%)
On-device
All sensitive ML inference
82%
Report reduced anxiety
On-device
All sensitive ML inference
3.2x
Higher D30 vs. industry avg
Nine Pixels is the first studio that understood the brief at a human level, not just technically. The product reflects that.
Co-Founder, Quietude
Project Details
Client
Mental Health Startup, Amsterdam
Duration
10 months
Team
6-person dedicated team
Platform
iOS & Android
Engine / Stack
Flutter + Firebase + Python ML
Category
App Development
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