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.
Android Apps$15K – $40K
Android App Development
Kotlin, Jetpack Compose, and AI-integrated Android apps for the Play Store
10–16w
Typical timeline
Kotlin
Modern native stack
5+
Devices tested minimum
AI-ready
TFLite + cloud AI
THE CHALLENGE
Sound familiar?
- Your Android app performs poorly on mid-range devices
- You need AI features on Android but lack TFLite expertise
- Your existing Android codebase is unmaintainable Java legacy
- You keep failing Play Store review for policy violations
- You need iOS and Android but can't afford two separate teams
OUR APPROACH
How we solve it
We build production-grade Android apps in Kotlin with Jetpack Compose, clean architecture, and AI features via TensorFlow Lite or cloud APIs. Engineered for the full Android device spectrum — from flagship to mid-range.
What you receive
- Native Android app in Kotlin/Jetpack Compose
- TFLite or cloud AI feature integration
- Play Store submission package
- Automated CI/CD pipeline with GitHub Actions
- Unit and instrumentation test coverage
- Clean architecture documentation
- Figma design files
OUTCOMES
What you walk away with
01
Play Store-ready Android app shipped on time
02
Smooth performance on mid-range Android hardware
03
AI features that work reliably on diverse Android devices
04
Clean Kotlin codebase your team can maintain
05
Play Store submission handled end-to-end
OUR DIFFERENCE
Why Android Apps from Virinchi
Fragmentation handled
We test on real hardware across the device spectrum you care about — flagship to mid-range — before launch.
Clean architecture default
Every Android app is built with MVVM clean architecture and full test coverage — handover-ready from day one.
Domain-specific expertise
We've built Android apps for FinTech, HealthTech, eCommerce, and Industrial clients across four markets.
HOW IT WORKS
Our delivery process
01
Design Sprint
Material Design 3 UI, user flows, component library, and AI UX patterns for Android.
02
Foundation Build
Clean architecture setup, navigation, auth, and core data layer.
03
Feature Development
Screens, AI integrations, API connections, and third-party SDKs.
04
Performance Optimization
Device testing matrix, memory profiling, battery optimization, and startup time.
05
Play Store Release
Internal testing track, production release, staged rollout, and monitoring.
Is this right for you?
Best suited for
- Startups launching their first Android product
- Teams modernizing legacy Java Android apps to Kotlin
- Products where Android reach across device tiers matters
- Founders who need AI features on Android specifically
Not the right fit for
- Projects where React Native would cover the cross-platform need
- Teams with an existing Kotlin codebase that only needs augmentation
- Projects requiring deep custom hardware integration beyond standard Android APIs
Engineering Stack
Built with the tools that matter
38 production-grade technologies — every one battle-tested in shipped products.
INVESTMENT
Engagement & pricing
$15K – $40K
10–16 weeks
- Milestone-based delivery — design, foundation, features, Play Store
- Play Store submission included in all engagements
- Device testing matrix covers 5 target devices minimum
Ready to start?
Get a detailed proposal within 48 hours. No commitment required.
Frequently Asked Questions
Didn't find what you were searching for? Reach out to us at [email protected] and we'll assist you promptly.
We build new Android apps in Kotlin exclusively. For legacy Java projects, we can modernize incrementally to Kotlin while maintaining existing functionality.
We define a device support matrix during scoping, test on real hardware across priority segments, and use Android's compatibility libraries to support older API levels without compromising modern UI.
Yes. We integrate TFLite models, ML Kit APIs, or cloud AI services into existing Android apps. We start with a code audit 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.
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.
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ALSO IN MOBILE & WEB PLATFORMS
Other Mobile & Web Platforms services
iOS App Development
Swift, SwiftUI, and AI-powered iOS apps built for the App Store
Learn moreReact Native Development
iOS and Android from one codebase — without sacrificing performance
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Next.js web applications that score 95+ on Lighthouse
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Installable, offline-capable web apps with native-like experience
Learn moreGlobal 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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