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Mobile apps with AI built in from the first screen.

iOS and Android apps where voice, vision and assistants are part of the product, working online, offline and in the user's language. Startups get a no-obligation free MVP, built in one week.

What it does for a business

Voice and chat assistants

Help, bookings and questions answered in-app.

Camera features

Scan, recognise and extract from photos.

Offline AI

On-device models for when there's no connection.

Personalisation

Recommendations and plans shaped to each user.

Who it's for

  • Startups launching an AI-first product
  • Businesses taking a service to customers' phones
  • Field and frontline teams who work away from a desk

How we keep it safe

Private and local first for critical and sensitive data. Partnered cloud models only when a task needs them, behind a policy gate, with audit logs and monitoring you can see.

Technology stack

What we use for AI mobile apps, and what each piece is for.

Offer

MVP in one week

A working AI product in your users' hands in seven days, built on our proven components.

Offer

Free MVP for startups

No-obligation free MVP for startups. Scope agreed in the free consultation; you keep it either way.

Offer

Free fix-up for AI-built apps

Built your app with AI coding tools but it isn't secure or won't scale? We review it free and fix the critical security and scaling issues free.

Cross-platform
Fl

Flutter

One codebase for iOS and Android with native performance

Re

React Native

JavaScript/TypeScript apps sharing logic with the web

Pr

Progressive Web App (PWA)

Installable web app with offline mode, no app store needed

Native
iO

iOS (Swift, SwiftUI)

Deep Apple integration, widgets, Siri, HealthKit

An

Android (Kotlin, Jetpack Compose)

Deep Android integration, background services

We

Wearables

Apple Watch and Wear OS companions

AI on the device
Co

Core ML / Apple Intelligence

On-device models on iPhone and iPad

Te

TensorFlow Lite / ML Kit

On-device vision, text and speech on Android

Sm

Small quantised LLMs

Offline assistants that keep data on the phone

Backend and delivery
Fi

Firebase / Supabase

Auth, push notifications, real-time data

St

Streaming AI APIs

Chat and voice with our gateway and context layer

Ap

App Store and Play Store

Release, staged rollout, crash and analytics

How we deliver it

Typical phases and timelines; your plan is agreed after the free consultation.

  1. 1

    Discovery and design

    Users, flows and AI moments, agreed in the free consultation

    1–2 days
  2. 2

    MVP build

    A working AI app on real devices, ready to put in front of users

    1 week
  3. 3

    Store launch

    Review, release and staged rollout

    1–2 weeks
  4. 4

    Grow

    Analytics-led improvements and new AI features

    Ongoing

Real examples

From products we built and run, and engagements we measured.

Real example

ClinifyAI, patients and doctors

A patient app for intake, reminders and lab explanations alongside the doctor's AI scribe.

See ClinifyAI
Real example

Anvesha AI, travellers

Live translation in 140+ languages, landmark recognition, AI trip planning and offline mode.

See Anvesha AI
Real example

YoungCare AI, nurseries

Parent app with AI daily reports and memory videos; 90% less report prep time.

See YoungCare AI

Under the hood

The technical detail, for your engineers.

Frameworks

Flutter and React Native for cross-platform; native Swift and Kotlin where performance demands it.

On-device AI

Core ML, TensorFlow Lite and small quantised models for offline and private features.

Backend

The same context layer and gateway as our web products, with streaming responses.

Delivery

App Store and Play Store release, analytics, crash reporting and staged rollouts.

Questions we're asked

Is the MVP really free for startups?

Yes. Startups get a no-obligation free MVP, built in a week. The scope is agreed in the free consultation; you keep the MVP whether or not you continue with us.

Can you really build an MVP in a week?

Yes. We build on our own proven AI components and a focused scope, so a working MVP is in your hands in one week.

Flutter, React Native or native?

Flutter for most new apps; React Native if you share code with a web team; native for heavy device integration. We recommend after discovery.

What about a PWA?

Great for internal tools and fast launches: installable, offline-capable, no store review.

Can AI work offline?

Yes, with on-device models for features that must work without a connection.

Do you handle store submission?

Yes, including privacy labels, review and staged rollout.

Which features can use AI?

Chat and voice assistants, camera scanning, recommendations, summaries and offline helpers.

Who owns the app and code?

You do, including source, store accounts and data.

Can you add AI to our existing app?

Yes, through our AI development service, without a rewrite.

How is user data protected?

Encryption, minimal data collection, on-device processing where possible, and store-compliant privacy labels.

Is our data used to train AI models?

No. We use private models or enterprise agreements that forbid training on your data.

How do we get started?

Book the free two-hour consultation. We look at one real workflow and tell you whether this technology fits.

Is there a guarantee?

Yes. Engagements we take on carry our 10× productivity guarantee on the agreed workflow, or the fee comes back.

Products built with AI mobile apps

Other technology

Where would AI mobile apps help your business?

Two free hours on a real workflow. We'll tell you whether it fits, and what it would take.

Book the free consultation