Android app development

Teams come to us for Android when the platform itself is the risk. A regulated product – a banking app, a payment SDK, a KYC flow – has to behave identically across an enormous spread of device models, OEM-modified versions of the operating system, and hardware you do not control. iOS gives you a closed, predictable estate; Android gives you reach, and makes you earn it.

That trade is worth making, but only with engineers who treat Android as a platform discipline rather than a screen-rendering exercise. The decisions that determine whether your app survives contact with real devices – how you handle background execution limits, where credentials live, what happens when an OEM battery manager kills your process mid-transaction – are made in the first weeks and are expensive to reverse later.

We build Android applications and payment SDKs in Kotlin for fintech and other regulated domains, and we own the whole surface: design, build, device and hardware integration, security hardening, and the Play Store release itself.

Building for Apple devices as well? See iOS app development – the same disciplines applied to a very different platform.

The failure mode is rarely the happy path. An Android app that demos well on a flagship phone in the office can still fall over in production, because the production environment is every device your customers own, every Android version still in circulation, and every OEM's opinion about how background work should behave. The problems that consume budgets are concentrated at this edge:

• OEM battery managers killing long-running work mid-flow
• OS version spread that keeps old API behaviour alive for years
• Payment terminals and NFC hardware that behave differently per vendor
• Rooted or compromised devices probing your app's attack surface

We plan for this edge from day one: a defined device and OS matrix, hardware-in-the-loop testing for anything that touches a terminal or sensor, and defensive handling of process death as a normal event rather than an exception. That is the difference between an Android build and an Android product. It is also how a payment SDK for payabl., an EU-regulated merchant acquirer, went from kickoff to shipped inside a single sprint cycle and unblocked their merchant onboarding.

Read the payabl. Android payment SDK case for the full story – delivered in one month.

We build in Kotlin on the current Android toolchain: coroutines for concurrency, Jetpack libraries where they earn their place, and a modular architecture that keeps payment, identity and UI concerns in separate, independently testable layers. The bar for adding a third-party dependency is high – every library you ship is code you did not write running inside a regulated product, and on Android it also bloats the APK and widens the attack surface.

Security is designed in, not audited in. Credentials live in the Android keystore, sensitive flows pin their certificates, release builds are obfuscated, and the app verifies the integrity of the device it is running on before it trusts it. When the deliverable is an SDK rather than an app, the discipline tightens further: a minimal public API, almost no transitive dependencies, and documentation good enough that an integrating merchant's team never needs to call us.

Native Kotlin is our default for regulated Android work because it gives full access to platform security APIs and hardware the moment they ship, with no abstraction layer in between.

When one codebase across both platforms is the better commercial call, see cross-platform app development.

There is no honest flat price for Android development, but the cost drivers are knowable up front: the number and complexity of user flows, how much device or payment hardware integration is involved, the security and compliance bar the product has to clear, and how much backend work sits behind the app. We make those drivers explicit in a scoping exercise before any build commitment, so the first number you see is one we are prepared to stand behind.

The engagement itself runs in sprint cycles with a team shaped to the work: Android developers, a UI/UX designer and a QA engineer, with management and analytics holding the plan honest. A tightly scoped deliverable can run as a fixed first milestone; a longer product build runs as a stable sprint cadence you can re-plan every cycle. Either way you see working software at the end of every sprint, not a status report.

Scope changes are normal on a product that is learning from its users; the cadence is built so they cost a conversation, not a renegotiation.

Shipping on Google Play is a compliance exercise in its own right. Target API level deadlines arrive every year and will eventually block your updates if ignored; data safety declarations have to match what the app actually does; and for payment and financial products, policy review is stricter and slower. We treat the release as engineering work: signing and keystore management, pre-launch testing across Google's device pool, a staged rollout with halt criteria, and the policy paperwork done properly the first time.

After launch, Android keeps moving whether you do or not. A new OS version lands annually, OEMs push their own updates on their own schedules, and a dependency you rely on will deprecate something sooner or later. We run post-launch support as a standing discipline: crash and ANR monitoring against the vitals thresholds that affect your store visibility, regression passes on every major OS release, and scheduled dependency and security updates so the app never drifts into policy debt.

The aim is for day two to be boring: the operating cost of the app known and planned, and every store deadline visible months before it bites.