Native Kotlin and Jetpack Compose, or Flutter and React Native when one codebase fits better. Tested on real budget and mid-range phones, not just the latest flagship.
The full Android build, with performance on budget devices treated as a requirement, not an afterthought.
Android apps usually fail on the phones nobody tested. These are the rules we build to.
Five stages, with test builds for you to install on your own phone.
Building for the world's most widely used mobile platform: Kotlin or cross-platform, handling device fragmentation, and getting through Google Play.
Android runs on the majority of smartphones worldwide, and in India it accounts for the overwhelming share of phones in use. For any app aimed at a broad Indian audience, Android isn't optional; it's usually the primary platform. In the US, UK, Canada and Australia the split with iPhone is closer, but Android still reaches a large portion of users.
That reach comes with a challenge iOS developers face far less: fragmentation. Android runs on thousands of device models from many manufacturers, across a wide range of screen sizes, hardware power and Android versions, often with manufacturer-specific changes on top. An app that runs smoothly on a new flagship phone can struggle on a budget device with limited memory, which is exactly the kind of phone many users actually own.
Native Android development uses Kotlin, Google's recommended language, with Jetpack Compose for building the interface. It gives full access to Android features and the best control over performance on lower-end devices. Cross-platform frameworks like Flutter and React Native let one codebase serve both Android and iOS, which can reduce cost when both platforms are needed.
Native Kotlin is usually the better choice when the app relies on deep Android integration — background services, hardware features, widgets, specific device capabilities — or when performance on budget phones is critical. Cross-platform suits apps with mostly standard features that need both platforms on a tighter budget. We build both and recommend based on your users, features and budget, not habit.
Handling fragmentation starts with decisions made early: which minimum Android version to support (a balance between reaching more users and supporting older, less capable systems), how layouts adapt across screen sizes including tablets and foldables, and how the app behaves on devices with limited memory and slower processors.
Testing is where fragmentation is actually managed. Emulators are useful but not enough; testing on real devices across price ranges, manufacturers and Android versions catches problems that emulators miss, such as manufacturer-specific battery optimisation that kills background tasks, or performance issues on low-memory phones. Our testing always includes mid-range and budget devices, not just the latest flagships.
Android has its own design system, Material Design, and its own conventions for navigation, the back gesture, notifications and settings. Apps that follow them feel natural to Android users. Apps that simply copy an iPhone design often feel out of place: navigation patterns that don't match expectations, back behaviour that surprises users, and controls that look foreign on the platform.
Design should also account for accessibility — font scaling, contrast and TalkBack screen reader support — and for the realities of the audience: data-conscious users who need apps to be light and work reasonably on slower connections, and, in markets like India, support for multiple languages where the audience needs it.
App size and performance matter more on Android than many teams expect. Users on budget phones with limited storage uninstall large apps, and users on limited data plans avoid downloading them. Keeping the app lean, optimising images and loading only what's needed makes a real difference to installs and retention.
Google Play reports crash rates and "Application Not Responding" (ANR) rates for every app, and poor numbers can reduce an app's visibility in the store. Monitoring these through Play Console and a crash reporting tool, and fixing the worst issues quickly after launch, protects both user experience and store ranking.
Google Play reviews apps against its developer policies before publishing, with particular attention to permissions, data safety, user-generated content and payments. Apps must complete a Data Safety section explaining what data they collect and why, request only the permissions they genuinely need, and follow Google's rules on billing for digital goods.
New developer accounts also face additional requirements, including testing periods before an app can be published publicly. Planning for these steps in the timeline avoids launch delays. We prepare the store listing, policy declarations and release, and use staged rollouts so updates reach a small percentage of users first before rolling out to everyone.
Google releases a new Android version every year and regularly raises the minimum target version apps must support to stay available for new installs. Apps that aren't maintained eventually fall behind these requirements and can stop appearing to new users. Ongoing maintenance keeps an app compliant, secure and working on new devices.
The first weeks after launch are when crash reports and reviews reveal the most useful fixes. Every build we deliver includes a post-launch bug-fix period, with ongoing maintenance and feature development available as a separate plan.
Cost depends on the number and complexity of features, the backend required, integrations, the range of devices and Android versions to support, and whether iOS is needed too. Supporting very old Android versions or an unusually wide device range adds testing time.
As with any app, launching a focused first version and expanding based on real usage is the most reliable way to control cost and learn what users actually need. Every quote we provide is based on a scoped feature list, so you know what's included before development starts.
Tell us what the app needs to do and we'll give you an honest range and the right tech stack.
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