We built a cross-platform wellness app that syncs wearable data, uses AI to suggest personalised mindfulness and nutrition tasks, and rewards healthy habits. Daily retention reached 65%, and users reported 40% less stress.
Client: HealthBridge PartnersIndustry: HealthcareService: AI & Automation
Overview
Client
HealthBridge Partners
Cross-platform behavioural health app
Engagement snapshot
The challenge
Digital burnout rose sharply after the pandemic, but most wellness apps were still static logs that did little to change habits. The client wanted an app that interpreted health data, not one that only recorded it.
It had to keep people engaged past the point where most tracking apps lose them, handle biometric data carefully, and sync wearable data fast enough for prompts to arrive at the right moment.
Standard tracking apps see users drop off by 90 days, as manual logging becomes a chore.
Biometric and lifestyle data needs tightly controlled access to meet HIPAA-grade expectations.
Late wearable updates weaken user trust and make live prompts less useful.
The solution
A modular bridge to Apple Health and Google Fit syncs physical activity and heart rate variability (HRV) in under a second.
Generative AI looks at patterns in sleep, screen time and steps, then sets personal mindfulness and nutrition tasks.
A rewards and notification microservice uses behavioural triggers to keep users coming back and building consistent habits.
Key features
A custom LLM reads sleep, screen time and step data to set personal mindfulness and nutrition tasks.
Business impact
40% lower reported stress
It warns of screen fatigue and suggests breaks when live biometric readings look unusual.
Business impact
Daily retention up from 20% to 65%
One React Native bridge maps health data between the iOS and Android ecosystems without slowing the app.
Business impact
Zero sync drift
The engine spots early signs of screen fatigue from exposure data and sends a digital detox prompt.
Business impact
40% stress drop
A dedicated service times each interaction so rewards feel immediate and earned.
Business impact
65% retention
Before and after
Before
Static logs
Users saw history charts with no clear next step, so many abandoned the app.
After
Active nudges
The AI suggests a mindfulness break or a change in diet when live biometric readings look unusual.
Before
Single large app
Hard-coded wearable logic broke with OS updates and coped poorly as the user base grew.
After
Microservices platform
Separate services for data collection, AI and rewards make changes quick and reliable.
Before
Shared patient health information
Unclear data handling added legal liability and regulatory burden.
After
Built to HIPAA requirements
Encrypted data streams with tightly scoped access protect biometric records.
Results
3.2x Retention vs Avg
Gamified habits and AI personalisation made the app part of the daily routine for 65% of users.
Before: 20%After: 65%
40% Less Perceived Stress
Users reported a measurable drop in perceived stress within their first 90 days on the app.
Before: HighAfter: 40% Lower
120ms Data Collection Response Time
The microservices kept response times under a second as the platform grew to 10k+ users in Q1.
Before: < 500msAfter: 120ms
Testimonial
“Daily retention was sitting at 20%. It is now 65%, and users report 40% lower stress. The app reads sleep, screen time and step data to set personal tasks, and we passed 10k active users in Q1.”
Kevin HargroveVP of Product, HealthBridge PartnersKey results
Trust and control
Biometric data is isolated by region and handled in line with HIPAA and GDPR.
HIPAA-GATEDEvery AI wellness suggestion has a lineage log, to meet medical-grade expectations for safety and explainability.
ENTERPRISE SECURITYCloud-based node clusters stay reliable during the morning rush, when many users sync at once.
CLOUD NATIVEThe client owns 100% of the recommendation logic, the wearable bridge modules and the UX design.
100% OWNEDFaster delivery
Building on tested components saved about 9.5 weeks of setup work, time we spent on the recommendation engine and the habit loop.
Our tested identity module linked each user's account to their wearable data with scoped, secure access.
A reusable data hub gave us working Apple Health and Google Fit connections to build the sync bridge on.
An existing monitoring platform tracked sync times and service health as the user base passed 10k.
Pre-built cost guardrails kept cloud spend in line during morning sync peaks.
The app syncs activity and heart rate variability from Apple Health and Google Fit in under a second. Generative AI looks at patterns in sleep, screen time and steps, then sets personal mindfulness and nutrition tasks. It can also spot early screen fatigue and send a digital detox prompt.
Retention came from pairing AI personalisation with a gamified habit loop. A rewards and notification service times each prompt so rewards feel earned, and tasks change with the user's own data. Daily retention rose from 20% to 65%, and users reported 40% less stress within 90 days.
Biometric data travels in encrypted streams with tightly scoped access, and it is isolated by region in line with HIPAA and GDPR. Wearable connections are gated with OAuth2. Every AI suggestion has a lineage log, so the team can explain why the app made each recommendation.
If your health app records data but doesn't change habits, we can help you add personal AI nudges built on wearable data.