Platform

iOS apps that feel Apple-native

T7 Solution ships iPhone and iPad apps in Swift and SwiftUI — with Human Interface Guidelines respected and Core ML, Core Data and CloudKit used where they belong.

Overview

iOS users spend more, churn less and expect polish. A generic web wrapper won't clear App Store review — and won't earn the retention that makes iOS worth targeting.

We build in Swift and SwiftUI with modern concurrency, Combine and clean architecture. AI ships via Core ML on-device and cloud LLMs where cost and capability demand it.

Every build ships with TestFlight, App Store Connect assets, and privacy manifests aligned to Apple's latest requirements.

What we ship

Swift + SwiftUI

Modern declarative UI with async/await, Combine and a clean MVVM foundation.

Core ML on-device AI

Run vision, NLP and custom models on-device for privacy and latency wins.

App Store delivery

TestFlight, phased releases, App Store Connect metadata and review-ready builds.

Deep OS integration

Widgets, Live Activities, App Intents, Siri Shortcuts and push notifications.

iPad and Vision Pro-ready

Universal layouts, multitasking and, where relevant, visionOS builds.

Privacy first

App Tracking Transparency, privacy manifests and least-privilege data collection by default.

How we're different

HIG discipline

Interactions that feel Apple-native, not Android-first ports.

Core ML fluency

We convert, quantise and ship on-device models — not just cloud calls.

Review-safe by design

We know what triggers App Store rejection and design around it up front.

Enterprise distribution

MDM, Apple Business Manager and in-house distribution when App Store isn't the right path.

Tech stack

SwiftSwiftUICombineCore DataCore MLCloudKitFirebaseSupabase

Frequently asked questions

Do you build for iPad and Vision Pro too?

Yes — SwiftUI lets us target iPhone, iPad and visionOS from a shared codebase with adaptive layouts.

How do you handle App Store review?

We design against App Review Guidelines from day one, prepare privacy manifests, and submit with staged TestFlight rollouts to catch issues early.

Can you run AI on-device?

Yes. Core ML supports vision, NLP and custom models. We pick on-device vs cloud per feature based on latency, privacy and cost.

How long does an iOS MVP take?

6–10 weeks for a scoped MVP including real integrations, TestFlight and App Store submission.

Ready to Build Your AI Product?

Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.

  • · AI feasibility & architecture review
  • · Product / MVP roadmap
  • · Integration & automation strategy