Mobile Engineering

Native and Cross-Platform Mobile Engineering

Mobile users abandon slow software faster than any other audience, so we optimise for the metrics that actually drive retention: cold-start time, frame stability under load, and how gracefully the app behaves when the network disappears. We ship to the App Store and Play Store as a matter of routine, including the review paperwork, privacy manifests and staged rollouts.

Ecosystem matrix

The stack we build on

Mainstream, well-supported technology chosen so your team can hire for it. We will justify any choice on this list, and we avoid exotic tools that create a dependency on us.

Swift SwiftUI Kotlin Jetpack Compose Flutter React Native Firebase WebSockets SQLite Realm Fastlane ARKit
Deliverable blueprint

60 FPS interface, biometric auth, background sync, App Store approval.

Sub-services deep dive

4 specialist capabilities

Expand any capability for its core scope, architectural blueprint and typical delivery window.

Apps built with Apple's own toolchain, so they inherit every platform capability on release day rather than waiting for a bridge library to catch up.

Core capabilities
  • SwiftUI interfaces with UIKit interoperability where needed
  • Face ID and Touch ID authentication with Keychain storage
  • CoreData or SwiftData persistence with CloudKit sync
  • Widgets, App Clips, Live Activities and ARKit experiences
Architectural blueprint

SwiftUI presentation β†’ observable state layer β†’ repository abstraction over CoreData and remote API with offline reconciliation.

Delivery timeline

10–18 weeks to App Store

Swift, SwiftUI, CoreData, ARKit

Modern Android built on Compose and structured concurrency, tested across the device fragmentation that actually exists in your market rather than on a single flagship.

Core capabilities
  • Jetpack Compose UI with Material 3 theming
  • Coroutines and Flow for structured background work
  • Room persistence with WorkManager sync scheduling
  • Biometric prompt, Play Billing and staged rollout releases
Architectural blueprint

Compose UI β†’ ViewModel state holders β†’ Room local source of truth β†’ Retrofit sync via WorkManager.

Delivery timeline

10–18 weeks to Play Store

Kotlin, Jetpack Compose, Coroutines

One codebase across both platforms when time-to-market and budget matter more than absolute platform fidelity β€” with native modules dropped in wherever performance demands it.

Core capabilities
  • Shared business logic with platform-adaptive interface layers
  • Native bridge modules for camera, Bluetooth and secure hardware
  • Single CI pipeline producing both store binaries
  • Over-the-air update channels for non-binary changes
Architectural blueprint

Flutter or React Native core β†’ platform channel bridges β†’ shared REST/GraphQL client with local cache.

Delivery timeline

8–14 weeks to both stores

Flutter, React Native with native bridge

Field-force and internal apps that must work in a warehouse basement, a hospital ward or an oil terminal β€” then reconcile cleanly the moment signal returns.

Core capabilities
  • MDM enrolment and managed app configuration
  • Conflict-free replicated data types for offline-first editing
  • Certificate pinning, jailbreak detection and remote wipe
  • Barcode, NFC and rugged peripheral integration
Architectural blueprint

Local write-ahead journal β†’ CRDT merge on reconnect β†’ authenticated sync gateway β†’ enterprise system of record.

Delivery timeline

12–20 weeks to production

Intune, Jamf, AppConfig, conflict-free sync

How we engineer

A four-stage accelerated lifecycle

The same sequence on every engagement, whether it runs six weeks or two years. Each stage has an exit condition, so nobody discovers a disagreement in month four.

STAGE 01

Discover

We map the business outcome, constraints and existing estate before proposing anything. Discovery ends with a costed plan, not a sales deck.

1–3 weeks
STAGE 02

Architect

Rendering strategy, data model, integration contracts and the non-functional requirements are settled and documented as decision records.

2–4 weeks
STAGE 03

Execute

Fortnightly increments against a visible backlog, with working software demonstrated every cycle rather than status reported.

6–24 weeks
STAGE 04

Scale

Load testing, observability, runbooks and knowledge transfer β€” then either you take it in-house or we operate it under an SLA.

Ongoing
Featured case study

GCC field services operator

Before → After
Our crews stopped carrying paper. Job closeout went from next-day to before they leave the site.

— Chief Operating Officer, GCC field services operator

Job closeout time — before
26 hrs
after
8 min
Crash-free sessions — before
94.1%
after
99.87%
Cold start — before
4.2s
after
1.1s
Daily active crews — before
310
after
2,400
Engagement tiers

Indicative pricing

Published because opaque pricing wastes everyone's time. Figures are in USD and indicative; a fixed quotation follows discovery.

MVP
$46,000
Fixed scope Β· 10 weeks

A single-platform app or Flutter build covering your core user journey, ready for real users.

  • Up to 15 screens
  • Authentication and push notifications
  • Analytics and crash reporting
  • Store submission handled
  • 30 days post-launch support
Discuss this tier
Enterprise
Custom
Multi-quarter programme

Fleet-scale deployment with MDM, compliance evidence and a dedicated mobile squad.

  • Everything in Product
  • MDM and managed configuration
  • Penetration testing and threat model
  • Dedicated squad with named leads
  • 99.9% backend uptime SLA
  • OS beta compatibility programme
Discuss this tier
Answers

Frequently asked technical questions

It depends on where your differentiation lives. If the experience itself is the product, or you depend on bleeding-edge platform features, go native. If you are digitising a workflow and need both platforms quickly, Flutter typically gets you there for roughly 60% of the cost. We make this recommendation in week one, with reasoning, not as a default.

Yes, end to end: developer account setup, privacy manifests, data safety declarations, screenshots, staged rollout configuration and the review correspondence itself. We have not had an app permanently rejected.

A device matrix chosen from your actual analytics, not a generic list. Automated UI tests run on a cloud device farm for every pull request, and we test manually on the specific low-end hardware your users report problems on.

Often, yes. We start with a paid technical audit covering architecture, dependency health, crash rates and test coverage, then give you an honest recommendation β€” which sometimes is that a rewrite costs less than the remediation.

Both platforms ship a major version annually and both can break things. Support retainers include beta testing against developer previews so compatibility fixes ship before the public release, not after your reviews drop.

Frequently paired with

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Ready to build? Let's talk scope.

Bring us the problem, the constraints and the deadline. You will get an honest assessment, a costed plan and a named architect β€” not a generic proposal deck.

Talk to usGet Estimate