RAG vs Fine-Tuning: Choosing the Right LLM Approach for Your Product
Both RAG and fine-tuning improve LLM performance on your specific use case — but they solve different problems. Here's how to choose.
Mobile
Swift / SwiftUI
Native iOS apps with Swift, SwiftUI, and Core ML integration
40%Faster than Obj-C
Core MLOn-device AI native
ARCAutomatic memory mgmt
2014Apple released Swift
HOW WE USE IT
Swift / SwiftUI in our stack
We write native iOS applications in Swift and SwiftUI — no cross-platform wrappers, no legacy Objective-C. Our iOS apps use Apple's latest frameworks (Core ML, ARKit, CloudKit) and are built to App Store guidelines from day one.
CAPABILITIES
What we deliver
- Swift 5.9 and SwiftUI modern declarative UI
- Core ML on-device AI inference
- SwiftData and CloudKit data persistence
- StoreKit 2 for in-app purchases
- WidgetKit for home screen and lock screen widgets
- TestFlight beta testing and Fastlane CI/CD
USE CASES
How we apply Swift
Consumer Health App
HealthKit-integrated app with Core ML for activity classification and health metric analysis.
Enterprise Tool
iPad-optimized field inspection app with offline Core Data and CloudKit sync when online.
AR Experience
ARKit-powered app for spatial visualization — product placement, training simulation, or remote assistance.
Engineering Stack
Built with the tools that matter
38 production-grade technologies — every one battle-tested in shipped products.
Frequently Asked Questions
Didn't find what you were searching for? Reach out to us at [email protected] and we'll assist you promptly.
Native Swift delivers the best iOS performance, the smoothest integration with Apple platform APIs (HealthKit, ARKit, Core ML, Face ID), and access to the latest iOS features on day one. For apps where UI responsiveness, animations, and battery efficiency are critical — or where deep Apple platform integration is required — Swift is the right choice. We recommend React Native when you need Android parity and a shared codebase, but for iOS-first products where quality and platform depth matter, native Swift is worth the investment.
A production Swift iOS app uses SwiftUI for UI, Combine or async/await for reactive data flows, URLSession with a network abstraction layer for APIs, CoreData or SwiftData for local persistence, the Keychain for secure storage, XCTest for unit and UI testing, and Fastlane with App Store Connect for automated distribution. We follow MVVM or TCA architecture patterns for testability and maintainability.
A production iOS app with authentication, core features, and backend integration typically takes 10-16 weeks. Apps requiring complex AI integration (Core ML, Vision, Sound Analysis) add 4-6 weeks. App Store submission and review typically adds 1-2 weeks. We deliver in sprints with TestFlight builds weekly so you can test on real devices throughout development.
FROM OUR CLIENTS
Built with teams who ship
The team took our AI concept from whiteboard to production in 10 weeks. The architecture they designed handles 10x our expected load with no issues.
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SERVICES THAT USE SWIFT
Related service offerings
GET STARTED
Want to use Swift in your project?
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