Chat with us!We designed and built an AI-powered mobile app that brings personalized recommendations, a conversational assistant, and on-device intelligence to users — ...
The app feels instant and genuinely smart, and our users love that it works even offline.
Founder & CEO
We designed and built an AI-powered mobile app that brings personalized recommendations, a conversational assistant, and on-device intelligence to users — delivering a smart, responsive experience on both iOS and Android.
| Project Detail | Information |
|---|---|
| Project Type | iOS & Android |
| Industry | Consumer Apps |
| Technologies | React Native, Core ML / TFLite, Cloud LLM API, Node.js, PostgreSQL, Firebase |
| Delivery Partner | mTouch Labs |
| Primary Outcome | The app delivered fast, intelligent, privacy-respecting experiences that drove engagement on both platforms. |
The client wanted AI features users expect — personalization and a natural assistant — but needed them fast, responsive offline, and privacy-respecting, without a heavy backend on every interaction.
We combined on-device models for fast, private inference with cloud LLM calls for heavier reasoning, in a cross-platform app that degrades gracefully offline.
The app pairs a conversational assistant and personalized recommendations with on-device intelligence, syncing securely to the cloud only when needed.
Cross-platform mobile app
On-device model inference
Heavier reasoning and generation
Backend sync and orchestration
User and personalization data
Auth, push, and analytics
Defined which features run on-device vs in the cloud.
Optimized and embedded models for mobile inference.
Implemented the conversational assistant and personalization.
Built graceful offline behavior and secure sync.
Tested performance and parity across iOS and Android.
The app delivered fast, intelligent, privacy-respecting experiences that drove engagement on both platforms.
Blending on-device and cloud AI in a cross-platform app delivered the smart, responsive, private experience modern users expect — efficiently and at scale.
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View case studyWhat businesses ask us most often about this project and how we built it.
It is a mobile app that embeds AI features such as a conversational assistant, personalization, or on-device intelligence to deliver smarter, more responsive experiences.
On-device inference makes features fast, works offline, and keeps sensitive data on the phone for better privacy.
Yes. We build with a cross-platform framework so a single codebase ships to both platforms with native performance.
Heavier reasoning uses a cloud LLM, while lightweight, latency-sensitive, or private tasks run on-device, syncing securely only when needed.
Yes. We can integrate assistant and personalization features into an existing app or build a new one from scratch.
mTouch Labs combines AI-powered development with deep industry expertise to deliver solutions faster.
