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Service · Wearable Apps

Wearable apps that turn raw sensor data into usable insight.

We design and build wearable apps that connect devices, smartphones and cloud systems — from health and fitness to field operations and safety. Backed by 10+ years of experience in mobile, health-tech and real-world deployments.

Watches · Bands · Medical wearables BLE, sensors & device pairing Cloud sync & analytics-ready data

Wearable use-cases we work on

  • Health & fitness tracking with companion mobile apps.
  • Clinical / remote monitoring for patients & programs.
  • Activity, location or safety tracking for field teams.
  • Custom device integration with your existing backend.
10+
years in mobile & APIs
24×7
data flow contexts
Multi
device & OEM support
Overview Process & Delivery Tech Stack & Platforms Engagement Models

Overview

Wearable Apps at Mega Infomatix are designed for continuous data, intermittent attention. Users don’t stare at a watch for long — they glance. Devices stream data even when the network is weak. Our job is to make sure your wearable ecosystem works across sensors, phones and cloud, with flows that respect real usage patterns.

Health & activity focused

From basic steps to clinical signals

We structure data from heart-rate, steps, sleep, SPO₂ and other sensors so that it’s interpretable by programs, clinicians or analytics tools.

Vital sign streams Trend visualization

Field & operational contexts

Not just gym workouts

We design wearable solutions for field teams, workers and programs who need alerts, location or status — not just fitness metrics.

Field & on-ground teams Smart alerts & nudges

Privacy & reliability

Trustworthy data flows

We design sync, caching and encryption approaches so data isn’t lost, duplicated or exposed, even with unstable networks or devices.

Secure data handling Stable sync logic

Process & Delivery

Wearable projects are really system projects: device, app, backend and analytics must work together. Our process keeps all layers connected and understandable.

Use-case & device discovery

We start by mapping who will wear the device, what data matters, and what phones / OS / OEMs are in play.

  • Clarify user groups and environments (home, clinic, field, factory).
  • List device models, OS versions and constraints.
  • Identify core metrics, thresholds and alerts.

UX flows & interaction model

Wearables give very small “interaction windows”. We optimize what shows on watch vs phone vs dashboard.

  • Define what happens on the wearable vs phone app.
  • Notifications, alerts and summary views.
  • Simple flows for pairing, battery and troubleshooting.

Build, integrate & test

We implement device integration, mobile apps and backend sync, then test across devices and scenarios.

  • BLE / device SDK integration.
  • Background sync, retries and battery-aware behaviour.
  • Scenario testing: offline, low battery, changed phones, etc.

Pilot, monitoring & scale-up

We help run pilots with small cohorts, observe patterns and refine before scaling.

  • Pilot with limited number of users / sites.
  • Monitoring dashboards for data flow health.
  • Refinements to alerts, thresholds and UX.

Tech Stack & Platforms

We use a mix of native capabilities, SDKs and backends tuned for time-series data and intermittent connectivity.

Wearable & phone layer

Apps that connect devices to phones and keep the experience smooth for users.

Android companion apps Cross-platform mobile (where suitable) BLE / device SDK integration Battery-aware behaviours

Backend & APIs

Backends designed to receive, store and process time-series data from many devices.

PHP / Node.js services REST APIs / JSON Ingestion & monitoring Hooks for analytics / dashboards

Data & analytics

We structure wearable data to support both individual-level insights and cohort-level analysis.

SQL databases (MySQL / PostgreSQL) Time-series oriented schemas Role-based access & privacy controls Export-ready for Tableau / BI tools

Integrations & ecosystem

We integrate wearable systems with your existing apps, portals and dashboards instead of duplicating them.

  • Existing health apps and portals.
  • Program dashboards and reporting systems.
  • Messaging, notification and alerting services.

Engagement Models

Whether you’re experimenting with a small wearable pilot or deploying at program scale, we can adjust how we work with you.

Fixed-scope project

Suitable when your device choice, data points and flows are clear.

  • Defined app + backend scope.
  • Agreed assumptions on devices and SDKs.
  • Predictable cost and timeline.

Agile / evolving scope

Good when you expect to adjust metrics, alerts or UX based on pilot learning.

  • Backlog of metrics & features.
  • Short sprints with pilot feedback.
  • Scope evolves with program needs.

Long-term partner

We act as your ongoing tech partner across multiple cohorts, devices and phases.

  • Roadmap planning with program / product teams.
  • Regular releases & new device support.
  • Support for new geographies or programs.

Pilot / PoC first

Ideal when you want to validate the value of wearables before investing large-scale.

  • Focused pilot with defined success criteria.
  • Limited but realistic implementation.
  • Clear path to scale-up if metrics are positive.

Exploring wearables for your program or product?

Share your device plans, user groups and data goals. We’ll respond with realistic options, device–app–backend architecture and how our experience can support you.

Share a wearable app brief Talk to our team
Comfortable with pilots, research projects, health programs & products.
What usually happens next:
  • Step 1: We review your note and identify key questions.
  • Step 2: Short call with your product / program / tech team.
  • Step 3: We propose 1–2 practical options with timelines.