Native iOS development in Swift and SwiftUI: apps that feel like Apple built them, run fast on every iPhone, and clear App Store review without drama.
We design and build native iOS apps in Swift, with SwiftUI as the default UI framework and UIKit where a specific screen demands it. Native means direct access to everything the platform offers: new APIs on launch day, the full performance of Apple silicon, and interface patterns your users already know from every other app on their phone.
The economics matter as much as the engineering. Native is the right call when the app is core to your business, when performance and polish drive retention, or when you need deep platform features: camera pipelines, Bluetooth, HealthKit, widgets, Live Activities, App Intents, or machine learning on the device itself. If a cross-platform build would serve you better, we say so in the first call; we build with React Native and Flutter too, so the recommendation is not self-serving.
Delivery includes the part most teams underestimate: getting through App Store review. We build against Apple's guidelines from the first sprint, ship weekly TestFlight builds to your stakeholders, prepare the listing and privacy labels, and manage submission, reviewer questions and the phased rollout. Most of our submissions pass on the first attempt, because rejection reasons get engineered out early instead of patched at the end.
SwiftUI plus Apple's Human Interface Guidelines produce apps that behave the way iPhone users expect: navigation, gestures, haptics, Dynamic Type and dark mode are correct by construction, not approximated by a rendering layer.
Compiled Swift, no JavaScript bridge, full use of Apple silicon. We profile with Instruments, set budgets for cold start, 120 Hz scroll smoothness and memory, and hold every release to them.
Core ML and the Neural Engine run models directly on the phone: text extraction, image classification, speech, custom models. Features work offline, respond in milliseconds and keep user data on the device, which simplifies both GDPR and your privacy label.
Widgets, Live Activities, App Intents and each year's WWDC additions are available to native apps immediately. Your app can use them the day the OS ships, not after a plugin catches up.
We define the feature set, choose the minimum iOS version from your users' actual devices, and design the architecture: SwiftUI, async/await, a modular structure your own engineers can extend later.
Screens are designed against the Human Interface Guidelines from the first wireframe, not converted from a web layout. Every flow is prototyped and reviewed on real devices.
Weekly TestFlight builds from the first sprint: you see progress on your own phone, and feedback lands in the next build. CI runs the full XCTest suite and static analysis on every merge.
We prepare the App Store listing, privacy labels and review notes, manage submission and any reviewer questions, then roll out in phases while watching crash rates and performance metrics before going to 100 percent.
When the app is central to your business, when performance and platform feel drive retention, or when you need deep hardware and OS integration: camera, Bluetooth, HealthKit, widgets, on-device ML. For a content app or an MVP testing demand on both platforms, cross-platform is often the better spend, and we will tell you which case you are in during the first call.
We build against the review guidelines from sprint one: no gray-area API use, correct purchase flows, privacy labels that match the code. We write the review notes, submit, and answer the reviewer directly. If a rejection happens, the fix is on us; most of our submissions pass first time.
Yes. We start with a code audit: architecture, test coverage, crash rate, dependency health. You get a written assessment and a plan. A typical takeover modernizes incrementally, Objective-C to Swift and UIKit to SwiftUI screen by screen, while features keep shipping, instead of a rewrite that freezes your roadmap.
Quite a lot: text recognition, image and document classification, speech transcription, semantic search, and custom Core ML models. It runs offline, costs nothing per request and keeps data on the phone. For generative features we combine on-device models with server-side LLMs, routing by task, cost and privacy.
Book a free 30-minute call with a senior iOS engineer. You leave with an honest read on native versus cross-platform for your case, and a rough scope.
Talk to an iOS engineer