On-Device AI Integration for iOS Apps
On-device AI is no longer a lab demo. Since iOS 18.4, Apple Intelligence is available in English. With iOS 26 and the Foundation Models framework, developers have access to a ~3 billion parameter language model running directly on the device — no API keys, no per-request costs, no internet connection required.
At AtalayaSoft we build intelligent features inside iOS apps: automatic summaries, content classification, conversational assistants, entity extraction and natural language-guided flows. With attention to what matters in production: native UX, reliability, user privacy and cost optimisation.
23.3% of Spanish SMEs already use AI in 2025, up from 7.4% in 2022. Adoption is accelerating. The question is not whether your app needs intelligent features, but when you implement them.
Why On-Device AI
Full Privacy by Design
Data never leaves the user's iPhone. Apple's on-device AI processes everything locally — no cloud calls, no data exposure, no GDPR risk.Available Now
Apple Foundation Models (3B parameter LLM, on-device) are available today via WWDC 2025 APIs. No waiting list, no beta restrictions.Native GDPR Compliance
On-device processing is ideal for European companies. Zero data transfer means inherent GDPR compliance for AI-powered features.Apple Intelligence & App Intents
Deep integration with Apple Intelligence, Siri, Spotlight, and App Intents. Your app becomes part of the system-level AI experience.Native Performance
Built with Swift and the latest Apple frameworks. No third-party dependencies, no API keys, no latency from network calls.
The AI stack we use in iOS
We work with the full AI ecosystem available to iOS developers:
- Foundation Models (iOS 26) — Apple's framework for accessing the on-device language model. Guided generation, structured output with Swift, no cost, no connection.
- Core ML — Apple's framework for running ML models on-device. Compatible with models converted from PyTorch, TensorFlow and ONNX.
- Apple Intelligence APIs — Writing Tools, Image Playground, Visual Intelligence and the system APIs that allow integrating native intelligent features.
- Swift Concurrency — async/await, Actors and TaskGroups for managing asynchronous AI operations safely and efficiently.
- Claude Code — We use Claude Code as a development tool to accelerate implementation, generate tests and maintain code quality.
- Cloud APIs (Claude API, OpenAI) — Integration of cloud models when the use case requires it, with error handling, retries and streaming.
Integration Process
From use-case definition to a production-ready AI feature in your iOS app:
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01. Use-Case Definition
We identify the right AI capabilities for your app — summarisation, generation, classification, or Siri/Spotlight integration.
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02. Technical Design
Architecture design for on-device AI integration, including fallback strategies for older devices and OS versions.
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03. Implementation
Full Swift implementation using Apple Foundation Models, App Intents, and Apple Intelligence APIs. Production-ready architecture with error handling, timeouts, fallbacks and automated testing.
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04. Testing & Delivery
Functional testing across device generations, performance validation, and handoff to your team.
The mobile AI opportunity window
- The AI market in Spain is growing at 39% annually.
- 73% of Spanish tech companies planned to implement AI in their apps in 2025.
- Apps incorporating generative AI report 40% more engagement than conventional apps.
- While demand for AI features explodes, the market of native mobile developers in Spain has contracted. Profiles combining deep native iOS experience with the ability to integrate on-device AI are especially hard to find.
Companies we have worked with
We bring enterprise iOS development experience to on-device AI integration. The same rigour applied at Santander and AXA, now for AI-powered iOS features.