Teo BouancheauCapabilities
Native apps that feel instant, and keep sensitive data on the device.
macOS and iOS apps written for performance, including AI that runs on the device itself.
Who it's for
Founders and teams who need an app that is fast, private and properly native, not a wrapped website.
Business outcomes
The app responds the way the platform intended.
AI features can run on the device, so sensitive data does not have to leave it.
You get an app that belongs on the platform, in look and in behaviour.
What you get
A native macOS or iOS app in Swift
On-device model inference where it fits the product
An interface built to platform conventions
A release-ready build and a handover
Products
Selected work
How It Works
Describe your problem. Get a working system.
Strategy
Your goals get mapped to what is actually worth building and why it moves the business, before any code gets written.
Build
Your product gets designed and built across the full stack, with every decision from architecture to interface staying accountable to your outcome.
Deployment
Your idea moves from first concept to production, remote-first, with clear async communication and regular deployment checkpoints.
Frequently Asked Questions
- Why a native app instead of a wrapped website?
- A native app responds the way the platform intended and looks and behaves like it belongs there. AI features can also run on the device, so sensitive data does not have to leave it.
- Which platforms do you build for?
- macOS and iOS, written in Swift.
- Can the AI run on the device itself?
- Yes, where it fits the product, with no cloud dependency. LM Pocket, an iPhone app that runs language models locally with Metal acceleration, is an example.
Guides & Tools
Latest videos
Ready for an app that feels native?
Tell me the idea and the platform. You get a clear answer on fit, fast.
Start a project