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.
Native Android apps with Kotlin, Jetpack Compose, and TFLite AI
HOW WE USE IT
We write native Android applications in Kotlin with Jetpack Compose — Google's current recommendation for Android UI. Our Android apps use clean MVVM architecture, proper dependency injection, and are tested across device matrices via Firebase Test Lab.
CAPABILITIES
USE CASES
Banking app with biometric auth, real-time push notifications, and transaction ML classification.
Ruggedized device app with camera ML, barcode scanning, and offline data storage via Room.
Shopping app with product recommendation AI, payment integration, and Play Store compliance.
Engineering Stack
38 production-grade technologies — every one battle-tested in shipped products.
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Native Kotlin gives you full access to the Android platform — Jetpack Compose for modern declarative UI, WorkManager for reliable background tasks, Android-specific APIs (NFC, BLE, Camera2), and the best battery and performance profile. For Android-first products where platform depth, hardware integration, or enterprise MDM integration matter, native Kotlin is the right choice. React Native and Flutter are better when cross-platform parity and a shared codebase are the priority.
A production Kotlin Android app uses Jetpack Compose for UI, Kotlin Coroutines and Flow for async operations, Hilt for dependency injection, Room for local persistence, Retrofit for API calls, the Android Keystore for secure storage, and JUnit with Espresso for testing. We follow Clean Architecture or MVVM patterns and automate release builds with GitHub Actions and Play Store deployment via Fastlane.
A production Android app with authentication, core features, and backend integration typically takes 10-16 weeks. Apps requiring hardware integration (BLE, NFC, camera) or TensorFlow Lite on-device AI add 4-6 weeks. Google Play submission and review adds 1-3 days for new apps. We deliver weekly builds via Firebase App Distribution for continuous testing.
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.
SERVICES THAT USE KOTLIN
GET STARTED
Talk to an engineer about your requirements. Proposal within 48 hours.