Native Mobile App Development
iOS and Android apps with native performance, built by the people who write the code. We ship most mobile products on Flutter for one codebase and native speed, and drop to Swift or Kotlin when a feature demands it. A two-person studio in Chicago and Dallas building real software for founders, not throwaway prototypes.
Start a ProjectWhat "Native Quality" Means Here
Native quality is about how the app feels and performs, not which language it was written in. Smooth scrolling, instant taps, real offline behavior, and platform conventions that users never have to think about. We hit that bar with Flutter, which compiles to native ARM code on both platforms, and with native Swift and Kotlin modules wherever the product needs deeper access to the device.
What we do not ship is a webview wrapper dressed up to look like an app. If it needs to be fast, it is fast.
How We Build Mobile
Flutter First
One Dart codebase to iOS and Android. Half the build time, one team, feature parity across platforms on day one.
Native When It Counts
Swift and Kotlin modules bridged into the app for camera pipelines, background tasks, payments, and platform-specific hardware.
Backend That Scales
Rails or Supabase behind the app for auth, data, realtime, and background jobs. Built to hold up after launch, not just at the demo.
AI on the Server
Vision models, LLMs, and embeddings run on a backend we control. API keys never live on the device, and you can swap models without a new build.
Store Releases
CI/CD with Codemagic or GitHub Actions, TestFlight, internal testing tracks, and the full App Store and Play Store submission process.
You Own the Code
Your repo, your Apple and Google developer accounts, your backend. No platform lock-in, no licensing games.
Mobile Apps We've Shipped
A sample of mobile products we've built or are actively building. Every one is real software with real users.
- Perfume Lens — AI-powered fragrance discovery. A Flutter client with a vision-model backend. Point the camera at a bottle and get notes, similar scents, and buying options.
- CoGo — AI-powered relationship guidance. Cross-platform Flutter app with a conversational interface backed by custom LLM orchestration.
- MealWatchers — Nutrition tracking with a community layer. Flutter app paired with a Supabase backend.
- SitterChat — Chat-based coordination platform. Flutter with realtime messaging on Supabase.
Where to Go Next
Want the detail on our cross-platform approach? See Flutter app development. Building something AI-heavy? AI app development covers how we wire models into mobile products. Still scoping the first version? MVP development walks through how we get from idea to launched app.
Frequently Asked Questions
Do you build native iOS and Android apps?
We build native-quality mobile apps. Most ship on Flutter, which compiles to native ARM code on both iOS and Android, so you get native performance from one codebase. When a feature needs a platform-specific capability, we write native Swift or Kotlin modules and bridge them into the Flutter app. You are not locked into a webview wrapper.
Why Flutter instead of separate native codebases?
For most startups, one Flutter codebase shipping to iOS and Android means half the build time, one team instead of two, and feature parity on day one. Fully separate native codebases make sense when the app is deeply platform-specific or pushing hardware limits. We help you make that call honestly rather than defaulting to the more expensive path.
How much does a mobile app cost to build?
A production mobile MVP typically runs $60,000 to $150,000 depending on scope, backend complexity, and integrations. We work on flexible monthly retainers rather than fixed bids, so you can pause or scale as the product evolves.
Do you handle App Store and Play Store submissions?
Yes. We set up CI/CD, manage TestFlight and internal testing tracks, and handle the App Store and Play Store submission process. Your developer accounts stay in your name, and you own everything.
Can the mobile app include AI features?
Yes. We build AI features on the backend and call them from the app, which keeps API keys off the device and lets you swap models without shipping a new build. Perfume Lens uses a vision model to identify fragrances from a photo; CoGo runs a conversational LLM behind a Flutter interface.
Ready to Build?
Tell us what you're building. We'll talk through fit, timeline, and what the first 90 days could look like. No pressure, no sales pitch.
Get Started