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AI app development

Apps that see, analyse and coach. Camera and video analysis, scanning, and AI assistants built natively for iPhone — by the studio that shipped a padel coaching app that reads your swing from video.

Why an app

Why ai-powered apps businesses are building their own apps

On-device

Fast, private, free per use

Apple Vision and Core ML run on the phone. No latency, no per-request bill, works without signal.

Live

Proof, not a demo

Padel AI reads a swing from video and coaches the player. It’s on the App Store now.

Paid

From day one

Subscriptions built into the AI feature, so the clever bit funds itself.

AI-Powered Apps business
Camera, vision & AI coaching

What we build

Everything your app needs. Nothing it doesn’t.

Point the camera and the app does the work — analyses the swing, reads the label, recognises the plate, answers the question. Then it turns that into feedback a person can act on. Fast, on-device, private.

01

Camera & video analysis

Pose, motion and object detection on-device with Apple’s Vision and Core ML.

02

Scanning & recognition

Point the camera at a label, document, product or plate and get an answer.

03

AI coaching & feedback

Turn analysis into plain-English advice people actually act on.

04

AI chat assistants

GPT-class assistants with your data, guardrails and tone.

05

Subscriptions built in

StoreKit plans so the AI pays for itself from day one.

06

Costs kept sane

On-device first, cloud only where it earns its keep.

FAQs

AI-Powered Apps apps, answered

1. What kind of AI apps do you build?

Camera and video analysis (sport technique, form, movement), scanning and recognition (food, documents, products), and AI chat or coaching assistants. If it needs a phone camera, a microphone or a conversation, it’s our kind of app.

2. Have you actually shipped one?

Yes — Padel AI analyses a player’s swing from video and coaches them, live on the App Store. Ask to see it on the call.

3. Does it run on the phone or in the cloud?

Both, deliberately. On-device models for speed, privacy and zero per-request cost; cloud models only where they genuinely add quality. We design the split so your running costs stay predictable.

4. How long does it take?

Four weeks for a focused AI feature inside an app; up to eight for a full AI product with subscriptions and a backend.