ENGINEERING SERVICE

Android apps built for the devices people actually own

Kotlin and Jetpack Compose products that hold up across a fragmented device landscape — modest hardware, poor connectivity, and Play Store policy included.

CAPABILITIES

What we build on Android

Modern Android engineering with the operational discipline that a fragmented ecosystem demands.

Jetpack Compose product work

Compose-first interfaces with View interop where legacy screens still earn their place, so migration is incremental.

Offline-capable data layers

Room, WorkManager, and Kotlin Flow wired into a sync strategy that expects the network to disappear mid-request.

Performance across device tiers

Baseline profiles, startup tracing, and jank measurement run on low-end hardware, not just the newest flagship.

Play policy and data safety

Data safety declarations, permission rationale, and target-SDK upgrades handled before Play deadlines force the issue.

Beyond the phone

Tablets and foldables, Wear OS companions, Android TV, and kiosk or rugged-device builds for field operations.

On-device ML

ML Kit and TensorFlow Lite for vision, text, and ranking work that should not require a round trip to a server.

HOW WE ENGAGE

From first build to a staged Play rollout

Four phases that get an installable build out early and de-risk every release after it.

01

Device and scope shaping

We pick the minimum SDK and device matrix from your real user data, then scope the release around what those devices can do.

02

Architecture and foundations

Modularised Gradle setup, dependency injection, navigation, and the data layer stood up with tests before feature work starts.

03

Feature delivery

Internal-testing builds every week, with Firebase Test Lab runs across the device matrix on each merge.

04

Staged rollout and handover

Play Console release tracks, staged percentage rollouts with crash gating, and a CI pipeline your team owns afterwards.

TECHNOLOGY

The Android stack we build on

Kotlin-first tooling with the testing and release infrastructure that keeps a fragmented platform manageable.

Kotlin Jetpack Compose Coroutines Flow Hilt Room WorkManager Retrofit ML Kit TensorFlow Lite Wear OS JUnit Espresso Firebase Test Lab Play Console Gradle
USE CASES

Where native Android pays for itself

The situations where the platform, not the framework, is the deciding factor.

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Emerging-market consumer apps

Products where APK size, memory ceilings, and offline behaviour on entry-level devices decide whether people keep the app.

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Field and logistics tooling

Rugged handhelds, barcode scanning, background location, and long-running sync jobs that must survive process death.

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Deep OS integration

Custom launchers, accessibility services, device admin, or kiosk mode where you need APIs cross-platform layers do not expose.

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Target-SDK rescue work

An app blocked from Play updates by an outdated target SDK, needing a compliance path that does not stop the roadmap.

BUSINESS IMPACT

Outcomes that show in Play Console

Android quality is measurable, and Google surfaces most of the measurements for you.

01

Better vitals, better ranking

Crash rate and ANR rate sit inside Play's bad-behaviour thresholds, which protects both store placement and retention.

02

Wider addressable audience

An app that runs well on mid-tier and older hardware reaches the majority of Android users, not the top slice.

03

Safer releases

Staged rollouts with automated halt criteria mean a bad build reaches one percent of users, not all of them.

04

Smaller installs, higher conversion

App Bundles, resource splitting, and dependency pruning cut download size, which measurably lifts install completion.

FEATURED WORK

Mobile products shipped across platforms

A health and coaching app delivered to both stores from one product team.

FitPulse case study Mobile • Health

FitPulse

A cross-platform health app with adaptive AI coaching and background wearable sync.

React Native • Adaptive AI Coaching • Wearable Sync

Read Case Study →
WHY ZIKOSOFT

Why teams choose us for Android development

Engineers who treat device fragmentation as an engineering constraint, not an excuse.

Learn more about us →
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Tested on real hardware

Automated runs across a device matrix that mirrors your install base, including the cheap phones your analytics say people use.

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Compose without dogma

We migrate to Compose where it improves the code and leave working View screens alone until they need touching.

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Policy ahead of deadlines

Target SDK and data safety work is scheduled before Play enforces it, so compliance never becomes an emergency.

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Your repo, your Play account

Signing keys, release tracks, and CI configuration live with you and are documented at handover.

FAQ

Questions Android teams ask us

Straight answers on device support, timelines, and Play Store realities.

Which Android versions should we support?
We set the minimum SDK from your own install data rather than a rule of thumb. For most consumer products that lands three to five years back, which covers well over ninety percent of active devices.
How do you handle device fragmentation?
A defined device matrix, automated instrumentation runs on Firebase Test Lab for every merge, and manual passes on the two or three devices that dominate your user base.
Kotlin or Java?
Kotlin for all new code. Existing Java is left in place and converted opportunistically when a file needs substantial work anyway.
Can you fix an app blocked by Play policy?
Yes. Target SDK upgrades, permission removals, and data safety declarations are common rescue work for us, usually delivered as a short focused engagement.
Do you build for Wear OS, TV, or tablets?
We do. These are scoped separately because they are genuinely different products, not resized phone screens.

Ready to ship on Google Play?

Book a working session and we will map a device strategy and release plan around your actual users.

Book a Discovery Session →
Building with AI? Zikosoft ships production-grade agentic systems with governance built in. Talk to our AI team →