AI Approach
AI is our accelerator—craft is our standard.
We use AI to move faster, not cut corners. Every model, every automation, every AI feature is built with purpose and precision.
Our Process
AI at every stage.
From the first spark of an idea to production at scale, AI is embedded in our workflow — not bolted on as an afterthought.
Our craft
Engineered layer by layer.
- 01Interface
SwiftUI screens, motion and haptics that feel at home on iOS.
- 02AI layer
Vision and language models, chosen per feature and measured on cost per user.
- 03Data
Local-first storage and lean APIs that keep every screen fast.
- 04Monetization
Subscriptions, trials and paywalls, tested like any other feature.
- 05Analytics & growth
Funnels, experiments and App Store optimization from day one.
- 06Swift foundation
Native Swift, built for the hardware it runs on.
Six layers, one app. Scroll to take it apart.
How we think
Precision at every level.
Native first
Swift and SwiftUI, built for iPhone. Every interaction should feel like it belongs on iOS.
AI that earns its place
We pick the model per feature, whether vision, language or on-device, and track what it costs per user.
Built to pay for itself
Trials, paywalls and pricing get tested like product features, because an app has to sustain itself.
Privacy by default
We collect only what a feature needs, and say so plainly in every privacy policy.
Capabilities
What we build with AI.
Real features that solve real problems. No buzzwords, no vaporware — just practical AI that makes your product better.
Dynamic content, recommendations, and experiences that adapt to each user — driven by real behavioral data, not guesswork.
Identification, scanning and visual search, using cloud vision models or Core ML on device, whichever fits the feature.
Conversational interfaces and in-app assistants that handle real tasks, built on leading models such as Claude, GPT and Gemini.
AI-generated copy, summaries, and creative assets that maintain brand voice and stay on-message at scale.
Intelligent pipelines that reduce manual work: auto-tagging, data extraction, smart notifications, and more.
Core ML models that run locally on iPhone and iPad when speed, privacy or offline use matter most.
“We use AI to move faster, not cut corners.”
Privacy and security are non-negotiable.
Every AI integration we build is designed with data privacy at its core. We default to on-device processing wherever possible, minimizing data that ever leaves the user's phone.
When cloud processing is required, we work with established providers, encrypt data in transit, and never store user data longer than necessary. Your users' trust is your product's foundation — we treat it that way.
Building with Claude too?
We like comparing notes with other teams building with AI. Say hello.