Custom AI Mobile App Development for iOS, Android & PWA

On-device AI mobile apps with Core ML 8 + Apple Intelligence (iOS), ML Kit + TensorFlow Lite + Gemini Nano (Android), ONNX Runtime, MediaPipe for vision, WhisperKit for STT, llama.cpp for on-device LLMs. Sub-100ms inference without network round-trip. Native Swift / Kotlin, React Native, Flutter, or PWA. 625+ real-time products since 2005, 100% Upwork Job Success.

AI Mobile Apps, Explained — Core ML, ML Kit, TensorFlow Lite, ONNX

We build custom AI mobile apps with on-device inference as the default. iOS: Swift / SwiftUI + Core ML 8 + Apple Intelligence (iOS 18+) for Writing Tools, Image Playground, Genmoji, Visual Intelligence; Android: Kotlin + Jetpack Compose + ML Kit + TensorFlow Lite + Gemini Nano (Pixel 8+); cross-platform: React Native or Flutter with ONNX Runtime + MediaPipe; PWA with WebGPU + transformers.js. Sub-100ms inference for vision (YOLOv8 quantised), <300ms first-token for on-device LLMs (llama.cpp, Phi-3 Mini, Gemma 2 2B), no network for offline mode. No matter the size or complexity of your project, we'll take it on and get it done.

We Handle Every Kind of Custom AI Mobile App Projects

Custom AI Mobile App Development for every case. Secure, scalable, and packed with smart features.

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From Scratch Development

Have an idea? We’ll turn it into a fully working app – from design and backend to launch and support.

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Upgrades & Improvements

Got a product that needs more speed, stability, or features? We’ll make it stronger and ready to scale.

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Takeovers & Fixes

Struggling with unfinished or broken code? We’ll step in, clean it up, and get your project back on track.

Flexible Pricing for Every Stage

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* Optional add-ons: AI chatbots, AR/VR modules, predictive analytics, push notifications, biometrics, custom dashboards, role-based access.

Have an idea
or need advice?

Contact us, and we'll discuss your project, offer ideas and provide advice. It’s free.

Why Hire Fora Soft for Custom AI Mobile App Development

20 Years in Real-Time Tech

625+ real-time mobile apps since 2005 — Core ML / ML Kit / TensorFlow Lite / ONNX Runtime / MediaPipe / WhisperKit in production. Nucleus AI mobile (Fibernetics, 600M+ minutes/month, SOC 2 / HIPAA / GDPR), TransLinguist mobile (62 languages, NHS UK), Doma.ai (4,305+ Russian property mgmt companies).

All Skills Under One Roof

Senior developers, QA, UI/UX designers, analytics – all in-house. We think like product owners, not just coders.

Proven Results & Reliability

625+ shipped products, 100% Upwork Job Success, 400+ honest reviews, sub-100ms on-device inference, App Store / Play Store track record from 2005.

AI mobile app questions, answered fast.

Custom AI Mobile App Development FAQ

Get the scoop on AI, mobile development & backend – straight talk from the top devs

What platforms do you develop AI mobile apps for?

Native iOS in Swift + SwiftUI with Core ML 8 + Apple Intelligence (iOS 18+); native Android in Kotlin + Jetpack Compose with ML Kit + TensorFlow Lite + Gemini Nano (Pixel 8+); cross-platform via React Native (with llama.rn / react-native-mlkit) or Flutter (with tflite_flutter / flutter_llama); PWA via WebGPU + transformers.js + web-llm. All shipped with on-device inference as the default.

How long does an AI mobile app project take?

MVP with on-device CV (YOLOv8 quantised int8) or STT (WhisperKit): 4–6 weeks. Mid-size with on-device LLM (Phi-3 Mini, Gemma 2 2B via llama.cpp) + cloud fallback (OpenAI Realtime / Gemini Live): 2–3 months. Enterprise multi-platform (HIPAA / GDPR, biometrics, AR with ARKit / ARCore): 4–6 months.

Can you update or improve an existing app with AI?

Yes — we wrap your existing iOS / Android codebase with on-device inference (Core ML / ML Kit / ONNX Runtime), add cloud fallback to OpenAI Realtime / Gemini Live / Claude, instrument Sentry / Crashlytics for monitoring, and migrate to Apple Intelligence / Gemini Nano where supported.

What AI features can you integrate?

Vision (Core ML / ML Kit / MediaPipe / YOLOv8 quantised), STT (WhisperKit / faster-whisper), TTS (ElevenLabs / Piper offline), on-device LLMs (Apple Foundation Models, Gemini Nano, Phi-3, Gemma 2, Llama 3.2 via llama.cpp), AR (ARKit / ARCore), biometrics (FaceID / TouchID / BiometricPrompt), live video (LiveKit / mediasoup mobile SDKs).

What is the cost of AI mobile app development?

Pricing starts from ~$10K for MVP with on-device CV / STT, ~$20K for cross-platform AI apps with cloud fallback, $50K+ for enterprise AI platforms (HIPAA / GDPR, AR / VR, biometrics). Final price is shaped on a 30-min scoping call.

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