AI & LLM Integration in Mobile Apps

We integrate Artificial Intelligence and Large Language Models directly into native iOS and Android apps. From intelligent assistants to on-device inference and generative content, we bring production-ready AI to your mobile product.

What We Build

• In-app AI chatbots and voice assistants
• Smart search and semantic retrieval (RAG)
• Image recognition and on-device computer vision
• Generative content features (text, images, summaries)
• Personalization engines and recommendation systems
• LLM-powered document processing and OCR

AI Technologies We Integrate

We work with the full spectrum of AI tooling available today:

• OpenAI API (GPT-4o, Whisper, DALL·E)
• Anthropic Claude API (Claude 3.5 Sonnet and above)
• Google Gemini API
• On-device models: Core ML (iOS), TensorFlow Lite, ML Kit (Android)
• Open-source LLMs: Llama, Mistral, Phi via llama.cpp or Ollama
• Vector databases: Pinecone, Weaviate, pgvector for RAG architectures

On-Device vs. Cloud AI

We help you choose the right AI deployment strategy for your use case. On-device inference (Core ML, TensorFlow Lite) means zero latency, full privacy, and offline capability. Cloud-based LLMs offer higher capability and easier updates. We often implement hybrid approaches: fast local models for common tasks, cloud LLMs for complex queries.

AI in iOS and Android

Our AI integrations are native first. On iOS we use Swift concurrency with async streaming to deliver real-time LLM responses in SwiftUI. On Android we use Kotlin Coroutines and Flow for the same. The result is a smooth, responsive AI experience that feels like part of the platform, not a bolted-on web view.

Privacy and Security

We design AI features with data privacy in mind from the start. On-device processing, request anonymization, no-logging API configurations and GDPR-compliant data flows are standard in our AI implementations.

Why Mokapp

We have been building mobile apps since 2010 and have been integrating AI features since the first generation of mobile ML tooling. We understand both the mobile layer and the AI layer — and how to make them work together seamlessly in production.

Contact us: info@mokapp.com