AI-Powered Applications

AI That Works.

Native iOS apps and web platforms with AI baked in. Not chatbot wrappers. Real applications with intelligent features your users actually need.

AI-Powered Applications, Not Gimmicks

When your AI automation needs a real interface, we build it. Native mobile, web platforms, or both.

On-Device Intelligence

Core ML models running natively on-device. Image recognition, natural language processing, predictive features, all without a round trip to the cloud.

AI Chat & Advisory Interfaces

Purpose-built chat experiences powered by LLMs. Compliance advisors, customer support, domain-specific assistants, designed around your data and your workflows.

Intelligent Notifications & Automation

Apps that think ahead. AI-powered alerts, smart scheduling, predictive actions. Your users get the right information at the right time, automatically.

Native Code, Real AI

When your AI automation needs a native mobile interface, we build that too. Swift, SwiftUI, Core ML, and the full Apple ecosystem. No cross-platform compromises.

Swift
Apple's modern language
SwiftUI
Declarative UI framework
Auth & Security
Keychain, Auth0, biometrics
Core ML / Vision
On-device machine learning
REST & GraphQL
API integrations
TestFlight & CI/CD
Automated delivery
LLM Integration
OpenAI, Claude, custom models
NLP & Embeddings
Vector search, RAG pipelines

Everything to Go From Concept to Launch

Every AI application project includes the full spectrum: from AI strategy and UX research through development, model integration, testing, and deployment. No surprises, no hidden costs.

  • AI strategy & use case mapping
  • Custom UI/UX design
  • Native Swift/SwiftUI development
  • Core ML model integration
  • LLM and cloud AI integration
  • Authentication & security
  • Intelligent notification system
  • App Store or web deployment
  • RAG pipeline setup
  • Performance profiling
  • Accessibility compliance
  • 90-day post-launch support

How We Build Your AI Application

A proven, transparent process from kickoff to launch. You are in the loop at every step.

1

Discovery & AI Strategy

We dig into your business, your data, and where AI actually adds value. Define features, AI capabilities, user flows, and success metrics.

2

Design & Prototype

Wireframes, high-fidelity mockups, and an interactive prototype. You see and feel the app before we write code.

3

Development & Testing

Sprint-based development with weekly demos. AI model integration, rigorous testing on real devices, and beta access via TestFlight or staging environments.

4

Launch & Support

App Store submission or web deployment, marketing assets, launch strategy. 90 days of support, monitoring, and AI model tuning included.

Transparent Pricing

Every AI application is different. Here's what a typical engagement looks like.

$10,000
Starting at • 50% deposit to begin

Pricing scales with scope and AI complexity. A focused single-feature app costs less than a full AI platform. We will scope yours precisely after discovery.

Talk to an Engineer Pay $5,000 Deposit
  • AI-powered native app (iOS or web)
  • Custom UI/UX design
  • AI model integration (Core ML, LLM, or both)
  • Authentication & security
  • App Store or web deployment
  • Beta testing & staging
  • 90-day post-launch support & tuning

AmonHen AI

Enterprise AI compliance advisory platform. Native iOS app with LLM-powered analysis, domain-specific knowledge packs, real-time project intelligence, and secure authentication.

LLM-powered advisoryMVVM architectureEnterprise-grade security

Built with SwiftUI, FastAPI, Auth0, PostgreSQL, and Claude AI.

View Full Portfolio

Frequently Asked Questions

How much does an AI-powered app cost? +

AI-powered application development starts at $10,000. Pricing scales with scope, the complexity of the AI features, and whether you need iOS, web, or both. We scope your project precisely after a free discovery call.

How long does it take to build an AI-powered app? +

A typical AI-powered application takes 8-16 weeks from kickoff to launch, depending on complexity. We use sprint-based development with weekly demos so you see progress throughout.

Do you build chatbot wrappers? +

No. We build real applications with AI baked into the user experience. On-device ML with Core ML, intelligent notifications, AI-powered analysis, and more. The AI serves the app, not the other way around.

Can you add AI features to my existing app? +

Yes. We can integrate AI capabilities into existing iOS or web applications, from on-device ML models to cloud-based AI services. We will assess your current architecture and recommend the best path forward.

Do you build web apps or just iOS? +

Both. When your AI automation needs a native mobile interface, we build that in Swift and SwiftUI. When it needs a web platform, we build that too. The right platform depends on your users and your use case.

Ready to Build Something Intelligent?

Tell us what you are trying to automate. We will tell you exactly how we would build it, what it will cost, and when you can launch.