Kotlin and Jetpack Compose products that hold up across a fragmented device landscape — modest hardware, poor connectivity, and Play Store policy included.
Modern Android engineering with the operational discipline that a fragmented ecosystem demands.
Compose-first interfaces with View interop where legacy screens still earn their place, so migration is incremental.
Room, WorkManager, and Kotlin Flow wired into a sync strategy that expects the network to disappear mid-request.
Baseline profiles, startup tracing, and jank measurement run on low-end hardware, not just the newest flagship.
Data safety declarations, permission rationale, and target-SDK upgrades handled before Play deadlines force the issue.
Tablets and foldables, Wear OS companions, Android TV, and kiosk or rugged-device builds for field operations.
ML Kit and TensorFlow Lite for vision, text, and ranking work that should not require a round trip to a server.
Four phases that get an installable build out early and de-risk every release after it.
We pick the minimum SDK and device matrix from your real user data, then scope the release around what those devices can do.
Modularised Gradle setup, dependency injection, navigation, and the data layer stood up with tests before feature work starts.
Internal-testing builds every week, with Firebase Test Lab runs across the device matrix on each merge.
Play Console release tracks, staged percentage rollouts with crash gating, and a CI pipeline your team owns afterwards.
Kotlin-first tooling with the testing and release infrastructure that keeps a fragmented platform manageable.
The situations where the platform, not the framework, is the deciding factor.
Products where APK size, memory ceilings, and offline behaviour on entry-level devices decide whether people keep the app.
Rugged handhelds, barcode scanning, background location, and long-running sync jobs that must survive process death.
Custom launchers, accessibility services, device admin, or kiosk mode where you need APIs cross-platform layers do not expose.
An app blocked from Play updates by an outdated target SDK, needing a compliance path that does not stop the roadmap.
Android quality is measurable, and Google surfaces most of the measurements for you.
Crash rate and ANR rate sit inside Play's bad-behaviour thresholds, which protects both store placement and retention.
An app that runs well on mid-tier and older hardware reaches the majority of Android users, not the top slice.
Staged rollouts with automated halt criteria mean a bad build reaches one percent of users, not all of them.
App Bundles, resource splitting, and dependency pruning cut download size, which measurably lifts install completion.
A health and coaching app delivered to both stores from one product team.
Mobile • Health
A cross-platform health app with adaptive AI coaching and background wearable sync.
Read Case Study →Engineers who treat device fragmentation as an engineering constraint, not an excuse.
Learn more about us →Automated runs across a device matrix that mirrors your install base, including the cheap phones your analytics say people use.
We migrate to Compose where it improves the code and leave working View screens alone until they need touching.
Target SDK and data safety work is scheduled before Play enforces it, so compliance never becomes an emergency.
Signing keys, release tracks, and CI configuration live with you and are documented at handover.
Straight answers on device support, timelines, and Play Store realities.
Book a working session and we will map a device strategy and release plan around your actual users.
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