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.
Swift, SwiftUI, and AI-powered iOS apps built for the App Store
THE CHALLENGE
OUR APPROACH
We build production-grade iOS apps in Swift and SwiftUI, with AI features integrated via Core ML, OpenAI, or Anthropic APIs. From architecture through App Store submission — one team, full ownership.
What you receive
OUTCOMES
App Store-ready iOS app shipped on time
AI features that work reliably on device and in the cloud
Clean Swift codebase your team can maintain and extend
App Store submission handled end-to-end — no last-minute surprises
Performance benchmarks met before launch
OUR DIFFERENCE
We handle submission, compliance, and reviewer feedback — App Store approval is included in every engagement, not an afterthought.
Core ML, Vision framework, and cloud AI integrations are first-class features in our iOS builds — not bolt-ons.
We've built iOS apps for FinTech, HealthTech, eCommerce, and Industrial clients. We know your sector's Apple platform requirements.
HOW IT WORKS
User flows, wireframes, component library, and AI feature UX patterns — aligned with Apple Human Interface Guidelines.
App architecture, navigation, authentication, and core data layer.
App screens, AI integrations, third-party SDKs, and backend API connections.
Core ML model integration, cloud AI feature connections, and on-device inference optimization.
TestFlight beta, App Store review submission, staged release, and post-launch monitoring.
Best suited for
Not the right fit for
Engineering Stack
38 production-grade technologies — every one battle-tested in shipped products.
INVESTMENT
Get a detailed proposal within 48 hours. No commitment required.
Didn't find what you were searching for? Reach out to us at [email protected] and we'll assist you promptly.
Both. We use SwiftUI for new projects and new screens where appropriate, and UIKit for legacy integration. Stack decisions are driven by your project requirements, not our preferences.
We manage the full App Store submission process — screenshots, metadata, privacy manifests, compliance review, and responding to App Store reviewer feedback. Submission is included in all iOS engagements.
Yes. We add Core ML models, cloud AI integrations, or on-device inference to existing iOS apps. We start with a technical audit to understand the current architecture before proposing an integration approach.
FROM OUR CLIENTS
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.
Insights
A collection of detailed case studies showcasing our design process, problem-solving approach,and the impact of our user-focused solutions.
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Learn moreGlobal Presence
Our engineering team is based in New Delhi. We work with clients across India, USA, UK, and UAE — async-first, with structured weekly delivery sessions in your time zone.
India
New Delhi
14:29
IST (UTC+5:30)
Our expertise
United States
New York · Austin
04:59
EST / PST
We serve
UK
London · Manchester
09:59
GMT / BST
We serve
UAE
Dubai · Abu Dhabi
12:59
GST (UTC+4)
We serve
Clocks update live · Business hours Mon–Fri 09:00–18:00 local time
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