In-app assistants
Assistants that know your app's content and the user's data, and can take actions rather than just answer questions.
What's included
AI that feels like part of the app
Vision, voice & documents
Camera, image and document recognition, speech-to-text and text-to-speech built into existing flows.
On-device processing
Sensitive data handled on the phone where possible, so it never leaves the device and works offline.
Cost & usage controls
Per-user limits, caching and model routing so AI costs stay predictable as the user base grows.
Overview
Useful AI in an app is usually small, fast and specific
The AI features people keep using in apps are rarely a generic chatbot. They're things like scanning a receipt instead of typing it, asking a question in plain language instead of digging through menus, getting suggestions based on what you did last week, or dictating a note that comes back tidied up.
We pick the right place to run each feature: on the device, using Apple's and Google's built-in models, Core ML or TensorFlow Lite, when speed, offline use or privacy matter, and in the cloud with OpenAI, Anthropic or Gemini when the task needs a larger model. We plan the running cost per user before building, so the feature doesn't become more expensive than the subscription it supports.
Tools & platforms we use
- Core ML
- Apple Foundation Models
- Gemini Nano
- TensorFlow Lite
- OpenAI API
- Anthropic API
Questions
Common questions about AI in mobile apps
4 questions
Can you add AI to our existing app?
Yes, that's the usual case. Most features can be added to a native, React Native or Flutter app without a rebuild, typically as a new screen or an addition to an existing flow.
On-device or cloud AI, which is better?
On-device is faster, private and free to run, but limited to smaller tasks like classification, summarizing short text or recognizing images. Cloud models handle harder reasoning at a per-request cost. Many apps use both, and we'll recommend a split per feature.
Will Apple and Google approve an app with AI features?
Yes, provided the app follows their rules on user data, content moderation and disclosure. We build those requirements in from the start, so review doesn't turn into a round of rejections.
How do we stop AI costs growing with every user?
By deciding up front which features run on the device, caching repeat requests, using smaller models where they're good enough, and setting per-user limits tied to your pricing tiers.
Quick question?
Ask us about AI Features for Mobile Apps
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Tell us about your app and the feature you have in mind.
Send the app's platform and a description of the feature, and we'll come back with where it should run, what it'll cost to operate, and a fixed estimate to build it.
If the first milestone doesn't match the brief, we'll revise it at no extra cost.
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