Delivered engagementHealth & Wellness · $9k – $15k
Sonar

AI Health Copilot

Delivered engagement. Coralsoft designed and built this product end to end; figures below retain their evidence level.

MobileReact NativeExpo SDK 54Expo Router
Sonar — product interface
Sonar — product interface
The situation

What was in place before we started.

Sonar is an AI-powered health platform that aggregates data from wearables, health apps, and biomarkers into a single intelligence layer with personalized coaching.

Sonar is an AI-powered health platform that aggregates data from wearables, health apps, and biomarkers into a single intelligence layer with personalized coaching.

Engagement
2 months reconstructed
Team
6 people
Budget
$9k – $15k reconstructed
Used by
Athletes · Biohackers · Longevity · Performance
Data sources
Apple Health, Oura, WHOOP, Garmin, Fitbit
Coverage
Recovery, sleep, stress, activity, nutrition
Intelligence
AI copilot, pattern detection, biomarker analysis
Implementation architecturereconstructed
React NativeExpo SDK 54Expo RouterTypeScriptNativeWindTanStack QueryReact Hook Form + ZodVercel AI SDKSupabase (Postgres + RLS)Supabase AuthSupabase Edge Functions (Deno)EAS Build + OTA Updates
Challenges

Each constraint, and what we did about it.

Constraint

Health data scattered across apps

What we did

One source of truth for health

Constraint

Numbers without interpretation

What we did

AI-driven, personal interpretation

Constraint

Generic, non-personalized advice

What we did

Recommendations tied to your data

Constraint

Hard to spot meaningful patterns

What we did

Patterns surfaced automatically

Constraint

No correlation across signals

What we did

Cross-signal correlations

Constraint

No actionable daily guidance

What we did

Daily, contextual guidance

Modern health needs intelligence, context, and personal coaching — not just one more dashboard of numbers.

Results

Outcome, with the source of every figure.

2-month engagement
+52%
Daily app engagement.
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
+71%
Score literacy after onboarding.
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
−63%
Time to first meaningful insight.
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
+44%
30-day user retention.
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
4.8★
App Store rating
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
68%
7-day retention
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
Premium conversion lift
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
Active integrations per user
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.

By turning fragmented signals into a single AI-driven layer, Sonar transformed daily wearable data into contextual, personal coaching — and made health intelligence approachable for non-experts.

Roadmap

How it was sequenced.

2 monthsreconstructed delivery
Weeks 1–2

Discovery & shaping

Discovery, data model design, ML scoping, UX research with target users.

  • Unified Data Layer
Weeks 3–7

Core build

Data ingestion layer, scoring engine, AI copilot MVP, mobile shell.

  • AI Copilot
Weeks 8–9

Launch & iterate

Production rollout: trend engine, personalization, premium tier, App Store launch.

  • Recovery & Sleep
  • Trends & Insights

More work like this.

Every case study is a Coralsoft delivery story, with the evidence behind each figure kept visible.