15+Years building software
4.8★Healthcare app rating
4 moTypical store launch
iPhone and Android phone side by side running the same cross-platform application
60–70% of native cost
one codebase, both stores
What we build

Cross-platform capabilities, end to end

Single codebase, both stores

One Flutter codebase reviewed and shipped to App Store and Play Store. Same features, same quality bar, same release cadence — without maintaining two separate engineering tracks.

Native look and feel per platform

Flutter renders with its own engine, so we control every pixel. We apply iOS and Android design conventions — navigation patterns, typography, gesture handling — so the app feels at home on both platforms.

Shared business logic, native modules where needed

All domain logic, API clients and state management live in one place. Where the platform demands native code — HealthKit, WorkManager, Bluetooth LE, biometrics — we write Swift or Kotlin modules and bridge them cleanly.

Faster iterations and releases

With one codebase, a new feature ships to both platforms in the same sprint. No waiting for the other team to catch up, no platform-specific regressions that only appear on one OS.

One team instead of two

A single cross-platform squad owns the full product — architecture, feature development, testing and store delivery. Fewer handoffs, clearer ownership, lower coordination overhead.

Long-term maintainability

One dependency tree, one test suite, one upgrade path. Keeping a cross-platform codebase current is fundamentally cheaper than maintaining two native apps on separate technology tracks.

Framework comparison

Flutter vs React Native vs native — the honest table

This is how we actually think about the trade-offs. No framework bias — the right answer depends on your context.

FlutterReact NativeNative (two apps)
Cost~60–70% of dual-nativeSimilar to Flutter100% baseline ×2 platforms
Time to marketFastest — one build pipelineFast — one codebaseSlowest — two parallel tracks
PerformanceNear-native; own render engineGood for most apps; JS thread adds overhead on heavy UIMaximum — no abstraction layer
UI fidelityPixel-perfect custom design; platform conventions applied manuallyUses native widgets — platform-accurate by defaultFull platform fidelity, unlimited OS access
Team requirementDart/Flutter engineers (or we train your team)React/TypeScript engineers — strong web crossoverSwift team + Kotlin team, or one very broad team
Best forMost new cross-platform projects — our defaultTeams with a React web codebase to share logic withPlatform-extreme needs: ARKit depth, system-level Android, CarPlay
Our recommendationDefault choiceIf your team is a React shopOnly when platform-extreme features demand it
Technology stack

The cross-platform stack we ship with

Flutter and Dart are our primary layer for cross-platform. React Native with TypeScript when the team context calls for it. Firebase for backend services, analytics and crash reporting. Swift and Kotlin bridges for the rare platform feature that needs native code.

FlutterDartReact NativeTypeScriptFirebaseSwift/Kotlin bridges

We do not use Cordova, Ionic or Capacitor for new projects. Hybrid web wrappers carry a performance and UX ceiling that becomes visible under real usage. Flutter and React Native are the two frameworks we stand behind.

FAQ

Frequently asked questions

Is cross-platform the right approach for my app?

For the majority of B2C and B2B apps — yes. If your product needs to run on iOS and Android, uses a standard navigation model, and does not depend on platform-extreme features like deep ARKit scene reconstruction or system-level Android services, cross-platform will deliver a native-quality result at materially lower cost. The cases where we recommend going native are narrow: apps that need GPU-level custom rendering, CarPlay/Android Auto integrations, or products where one platform is so deeply tied to OS internals that a JavaScript or Dart abstraction layer becomes a liability.

What are the real limitations of one codebase?

Honest answer: there are limitations, but they are narrower than the marketing on both sides suggests. Platform-specific UI patterns sometimes need extra work to feel right on each OS — we budget for that explicitly. Some deep OS APIs (HealthKit depth, ARKit scenes, Wear OS data layers) require native module bridges, which add complexity. And when Apple or Google ships a major OS update, you may need to wait for the framework to catch up before using the newest APIs. These are real costs — but for most apps they are smaller than the cost of maintaining two separate codebases.

Is performance actually good enough?

For the apps most companies build — yes, comfortably. Flutter renders at 60/120 fps on supported devices with its own Skia/Impeller engine, with no JavaScript bridge overhead. React Native has a JS thread but handles standard navigation, lists and forms without visible jank on modern hardware. Where performance becomes a genuine concern is in apps with heavy custom animation, real-time graphics processing, or sustained CPU/GPU workloads. We benchmark early in the project and flag before you are committed if native is the correct answer.

Can we migrate an existing pair of native apps to cross-platform?

Yes, and we have done it. The approach we recommend is feature-by-feature migration rather than a big-bang rewrite. New features are built in Flutter (or React Native) while the native apps remain live. Screens are migrated incrementally as they come up for redesign or significant change. This keeps the product shipping throughout the migration and lets you validate the cross-platform approach on real users before committing fully. Full rewrites are only advisable when the native codebases are in poor shape and the app is due for a complete redesign anyway.

How much do we really save compared to two native apps?

In our experience, cross-platform typically costs 60–70% of what two native apps would cost — not 50% as some vendors claim, because platform-specific work (store submission, native modules, OS-specific UX polish) still takes real time. Where the saving is most significant is in ongoing maintenance: one codebase means one dependency upgrade cycle, one test suite to maintain, and one team to retain. Over a two-to-three-year product lifetime, the total cost difference is substantial.

Online ordering app for Jerry's PizzaMobile app
Case study

Online ordering app for Jerry's Pizza

A pizza-ordering app with real-time order tracking, full customization and integrated payments for the Jerry's pizzeria chain.

+30%
orders
4.8★
app rating
real-time
delivery tracking
Read the case study

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