We are a UK iOS development company building native Apple applications with Swift and SwiftUI. From early-stage startups to Fortune 500 enterprises, we ship products that millions of people use every day.
Most agencies treat iOS as one box to tick alongside Android, web, and whatever else pays the bills. We treat it as a craft. Our engineers have been writing Swift since its public release in 2014, and we have shipped production SwiftUI code since iOS 13. That depth means we reach for the right tool within Apple's ecosystem rather than forcing cross-platform compromises where they do not belong.
We build with Swift 6.0 and its strict concurrency model from day one. That means compile-time data-race safety with actors, structured concurrency with async/await and TaskGroups, and Sendable conformance enforced across module boundaries. The result is code that is not only fast but provably safe to run on multiple cores without hidden threading bugs.
SwiftUI 5.0 is our default for new projects, using its declarative syntax for rapid iteration and pixel-perfect layouts that adapt across iPhone, iPad, and Mac. When we need fine-grained control, such as complex collection view layouts, custom gesture recognisers, or deep UIKit-dependent libraries, we integrate UIKit seamlessly via UIViewRepresentable and UIViewControllerRepresentable. We also maintain and modernise legacy Objective-C codebases, migrating to Swift incrementally through bridging headers and interop modules.
The App Store's highest-rated apps succeed because they lean hard into Apple's first-party frameworks rather than wrapping generic libraries. We have production experience across the full framework catalogue, from low-level GPU rendering to high-level health data integration.
Multi-camera capture pipelines, real-time video overlays, custom AVComposition timelines, and hardware-accelerated encoding. We have built apps that record from front and rear cameras simultaneously while applying Core Image filters at 60fps, with frame-accurate audio synchronisation for professional-grade output.
We deploy machine learning models directly on Apple Neural Engine and GPU using Core ML, avoiding cloud round-trips for latency-critical features. Our work includes custom object detection models trained with Create ML and converted from PyTorch via coremltools, real-time OCR with Vision framework, and on-device natural language processing. Every model is profiled with Instruments to fit within memory and thermal budgets.
From surface detection and world tracking to full scene reconstruction with LiDAR, we build augmented reality experiences that feel grounded in the real world. Our AR work includes body and hand tracking, image anchors for product visualisation, and collaborative multi-user sessions using MultipeerConnectivity.
Core Data for complex local object graphs with NSFetchedResultsController-driven UIs, SwiftData for modern Swift-native persistence, and CloudKit for seamless cross-device sync. We architect offline-first systems where data flows reliably between iPhone, iPad, Mac, and Apple Watch without user intervention, handling conflict resolution and schema migration automatically.
HealthKit integration for fitness and medical apps with proper authorization flows and background delivery. WeatherKit for hyper-local forecasts embedded in location-aware experiences. Core Motion and Core Location for activity recognition and geofencing that respects battery life.
NetworkExtension framework for building custom VPN clients and content filters with packet-level control. Keychain Services and CryptoKit for secure credential storage and end-to-end encryption. App Attest and DeviceCheck for fraud prevention in high-value transactions.
Custom Metal shaders for real-time image processing, video effects, and game rendering at 60fps or 120fps on ProMotion displays. We optimise compute pipelines to run efficiently on Apple's unified memory architecture, achieving performance that generic OpenGL or cross-platform renderers cannot match.
A single, well-architected Swift codebase can target every screen in the Apple ecosystem. We structure projects so that business logic, networking, and data layers are shared across platforms while UI adapts to each device's idiom and interaction model.
Shipping an app once is easy. Maintaining and scaling it over years of OS updates, team changes, and evolving requirements is where architecture pays for itself. We apply patterns that make iOS codebases testable, navigable, and safe to change.
MVVM-C (Model-View-ViewModel with Coordinators) for clear separation of navigation, presentation, and business logic. Clean Architecture with protocol-defined boundaries between layers so that database, network, and UI can be tested and replaced independently. Protocol-Oriented Programming as a first-class design strategy, favouring composition over inheritance.
Swift Package Manager for modular dependency management and internal framework extraction. Structured concurrency with TaskGroups, AsyncStreams, and custom executors for deterministic async behaviour. CI/CD via Xcode Cloud or Fastlane with automated screenshot generation, code signing, and TestFlight distribution. Comprehensive test suites using Swift Testing, XCTest, and snapshot testing for pixel-perfect UI validation.
Every project listed here involved deep, hands-on iOS engineering by our team. These are not logos on a slide deck; they are codebases we architected, built, and shipped.
The world's first eSIM marketplace, used by over 20 million travellers. We built core iOS features using SwiftUI with a modular architecture that supports rapid iteration across a growing engineering team. The app maintains a 4.8-star App Store rating with sub-second cold launch times.
SwiftUI, Modular Architecture, StoreKit 2Connected vehicle platform for Honda's UK dealership network. Complex offline-first data synchronisation using Core Data with CloudKit, ensuring that dealership staff can access vehicle inventory and customer records in areas with poor connectivity. Automatic conflict resolution handles concurrent edits across multiple iPads.
Core Data, CloudKit, Offline Sync, iPadOSAugmented reality tattoo preview app that lets users see how a design will look on their skin in real time. Custom ARKit implementation with body segmentation, accurate skin-tone matching, and realistic light/shadow rendering to produce convincing previews from any angle. Featured by Apple in App Store editorial.
ARKit, Core ML, Vision, Core ImagePrivacy-focused content filtering app using NetworkExtension and NEFilterDataProvider for on-device packet inspection. Built a custom VPN client with DNS-over-HTTPS, granular content rules, and Screen Time API integration. All filtering happens locally with zero data transmitted to external servers.
NetworkExtension, VPN, DNS-over-HTTPS, Screen Time APIProfessional video editing tool with real-time filters and transitions rendered at 60fps using custom Metal compute shaders. Multi-track timeline with frame-accurate scrubbing, hardware-accelerated H.265 export, and a non-destructive editing pipeline that preserves original footage quality throughout the workflow.
Metal, AVFoundation, Core Image, GPU ComputeUsers do not read performance benchmarks, but they feel them. A list that stutters during scroll, a camera feed that drops frames, a launch screen that lingers, these are the moments where trust breaks. We treat 60fps rendering, sub-second cold launch, and minimal memory footprint as baseline requirements, not stretch goals.
Every app we ship is profiled with Instruments across its full lifecycle: Time Profiler for CPU hotspots, Allocations for memory leaks and retain cycles, Metal System Trace for GPU pipeline stalls, and Network profiler for request waterfall optimisation. We test on the oldest supported hardware, not just the latest Pro Max, because performance on a four-year-old iPhone SE is where quality shows.
For compute-intensive features, we use Metal shaders and Accelerate framework to offload work to GPU and SIMD units. For network-bound flows, we implement aggressive caching, request coalescing, and progressive loading so the app feels instant even on 3G connections. The result is apps that feel as responsive as Apple's own, because we hold ourselves to the same standard.
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