Mobile is the worst place to attach a generic chatbot. It is the best place to embed AI that knows the individual user, their history, their preferences, and their current context. We build the latter, not the former.
Who this is for
Existing iOS, Android, and cross-platform app owners with active users and a feature they want to make smarter: search, recommendations, summaries, onboarding, or in-app assistance that adapts to each user.
What you get
- Native or cross-platform AI feature implementation built to your app’s existing design system.
- A per-user memory layer so the AI improves with each interaction and does not reset on every session open.
- Cost-controlled token usage with on-device caching where possible, so AI features do not blow up your infrastructure bill.
- Streaming UI patterns built for mobile networks, including graceful degradation on slow connections.
- Privacy-first prompt logging that stores only what you need for debugging, not full conversation transcripts by default.
How we work on this
We start with feature scoping to agree on what the AI does and what it does not do. Then we design the API, implement the native feature, polish the UX, and ship to the App Store and Play Store.
Tech stack
Swift and SwiftUI for iOS. Kotlin and Compose for Android. Flutter or React Native for cross-platform. Claude API or OpenAI API for the model. Mem0 for per-user memory. A server-side proxy to keep API keys out of compiled binaries.
When this is the wrong choice
If the AI feature is more naturally a web flow that the app links to, do not bake it native. We will be direct with you when that is the right call.
Pricing
$8,000 to $20,000 for a single AI feature with a defined scope. $20,000 to $50,000 for app-wide AI integration with custom infrastructure and memory.
FAQ
How do you keep API keys secure? We always route model calls through a server-side proxy. API keys never appear in compiled iOS or Android binaries, which are trivially reverse-engineered.
What is the latency on mobile networks? Streaming responses start appearing in under 500ms on 4G connections when using a regional server-side proxy. We test on real-world network profiles before shipping.
Does this comply with App Store and Play Store policies? Yes. We review the current AI disclosure guidelines for both stores before implementation and configure the required disclosures for your market.
Can the AI feature work offline? Partial offline support is possible for features that run small on-device models or use cached responses. Full offline AI is not practical for most use cases. We scope this honestly during the feature scoping phase.
Who owns the ongoing model API costs? You do. Model API calls go through your account so costs are visible in your dashboard. We show you the projected cost per monthly active user before you commit to the architecture.