iOS Apps$15K – $40K

iOS App Development

Swift, SwiftUI, and AI-powered iOS apps built for the App Store

10–16w
Typical timeline
100%
App Store submissions handled
Swift/SwiftUI
Native stack
AI-ready
Core ML + cloud AI

THE CHALLENGE

Sound familiar?

  • Your iOS app idea is stuck because you lack Swift expertise
  • Your existing iOS app is slow and getting one-star App Store reviews
  • You need AI features in your iOS app but lack Core ML experience
  • Your contractor built an iOS app that crashes on new iOS versions
  • You're not sure how to navigate App Store review guidelines

OUR APPROACH

How we solve it

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

  • Native iOS app built in Swift/SwiftUI
  • Core ML or cloud AI feature integration
  • App Store submission package (screenshots, metadata, compliance review)
  • TestFlight beta program setup and management
  • Fastlane CI/CD pipeline for automated builds
  • Unit and UI test coverage
  • Documentation and design files

OUTCOMES

What you walk away with

01

App Store-ready iOS app shipped on time

02

AI features that work reliably on device and in the cloud

03

Clean Swift codebase your team can maintain and extend

04

App Store submission handled end-to-end — no last-minute surprises

05

Performance benchmarks met before launch

OUR DIFFERENCE

Why iOS Apps from Virinchi

App Store expertise

We handle submission, compliance, and reviewer feedback — App Store approval is included in every engagement, not an afterthought.

AI-native iOS development

Core ML, Vision framework, and cloud AI integrations are first-class features in our iOS builds — not bolt-ons.

Domain-specific expertise

We've built iOS apps for FinTech, HealthTech, eCommerce, and Industrial clients. We know your sector's Apple platform requirements.

HOW IT WORKS

Our delivery process

01

Design Sprint

User flows, wireframes, component library, and AI feature UX patterns — aligned with Apple Human Interface Guidelines.

02

Foundation Build

App architecture, navigation, authentication, and core data layer.

03

Feature Development

App screens, AI integrations, third-party SDKs, and backend API connections.

04

AI Integration

Core ML model integration, cloud AI feature connections, and on-device inference optimization.

05

App Store Release

TestFlight beta, App Store review submission, staged release, and post-launch monitoring.

Is this right for you?

Best suited for

  • Startups launching their first iOS product
  • Teams that need AI features in a native iOS experience
  • Founders who've had a failed iOS app from a previous contractor
  • Products where iOS is the primary platform and performance matters

Not the right fit for

  • Projects where a cross-platform React Native app would serve the same need
  • Teams with an existing iOS codebase that only needs augmentation
  • Projects requiring deep custom hardware integration beyond standard iOS APIs

Engineering Stack

Built with the tools that matter

38 production-grade technologies — every one battle-tested in shipped products.

OpenAI GPT-4oGPT-4o · DALL-E
Anthropic ClaudeClaude 3.5 Sonnet
LangChainLLM orchestration
Llama 3Open-weight LLM
GeminiGoogle multimodal
HuggingFaceModel hub & pipelines
AWSEC2 · Lambda · S3 · Bedrock
Google CloudGKE · BigQuery · Vertex AI
Microsoft AzureAKS · OpenAI · Cognitive
VercelEdge deployments
CloudflareCDN · Workers · R2
Next.jsSSR · SSG · App Router
ReactUI components
TypeScriptType-safe JS
Tailwind CSSUtility-first CSS
Framer MotionAnimations
PythonAI · APIs · automation
FastAPIHigh-perf async API
Node.jsEvent-driven server
GoHigh-throughput services
PostgreSQLRelational · pgvector
RedisCache · queues · pub-sub
React NativeCross-platform
ExpoManaged workflow
SwiftNative iOS · SwiftUI
KotlinNative Android
Jetpack ComposeAndroid declarative UI
MLflowExperiment tracking
Weights & BiasesML observability
Apache AirflowPipeline orchestration
DockerContainerisation
KubernetesContainer orchestration
DVCData version control
PyTorchDeep learning
TensorFlowML platform
Scikit-learnClassical ML
PineconeVector database
WeaviateVector search

INVESTMENT

Engagement & pricing

$15K – $40K
10–16 weeks
  • Milestone-based delivery — design, foundation, features, App Store
  • App Store submission included in all engagements
  • Figma design files delivered alongside all code

Ready to start?

Get a detailed proposal within 48 hours. No commitment required.

Discuss your project

Frequently Asked Questions

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

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.

Series B FinTech StartupCTO
Client testimonial video thumbnail
HealthTech CompanyChief Medical Officer

Insights

From our engineering blog

A collection of detailed case studies showcasing our design process, problem-solving approach,and the impact of our user-focused solutions.

Global Presence

One Studio. Four Markets.

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.

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London · Manchester

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