Trusted by companies across the USA
SwiftUI apps shipped in days, with senior human review on every screen.
An iOS developer who pairs years of Swift and SwiftUI work with the best available AI coding tools to move at roughly twice the usual pace. You pay a higher hourly rate, but the build finishes in far fewer hours, so the total project cost lands lower. Fast, and still reviewed by a person.
We match you within 48 hours.
Trusted by companies across the USA
A fitness startup founder came to us with a half-finished iOS app and a launch date six weeks out. He needed an onboarding flow, a workout logging screen backed by Core Data, and sync to his existing REST API. His previous contractor had quoted three weeks just for the logging feature and the offline storage behind it. Our AI-Powered iOS Developer had a working, reviewable build of that same feature in front of him in about six working days. Same Swift, same data model, a fraction of the calendar time.
That gap is the entire reason this model exists. The best available AI coding tools handle the parts of iOS work that burn hours without needing much judgment: laying out SwiftUI views, writing Core Data fetch requests, mapping JSON from a REST API into Swift structs, and drafting the first round of unit tests. A senior developer then reviews each change, fixes what the tool got wrong, and makes the architecture calls no tool can make. You get the speed of the tooling and the judgment of someone who has shipped apps through App Store review for years.
Our team works out of Gandhinagar, India, and we have built software for clients across 20+ countries since 2015. Developers overlap with US business hours for live calls, Xcode screen-shares, and quick decisions, then keep building after your day ends. The time difference plus AI-augmented output means you can send notes on a TestFlight build in the evening and often wake up to a revised one. That pairing is what makes the days-not-weeks pace real instead of a tagline.
Now the honest part. AI tooling speeds up the well-traveled work: standard list and detail screens, form-heavy settings pages, Core Data boilerplate, and API mapping code. It does not speed up genuinely hard problems, things like a custom Metal rendering pipeline, tricky concurrency around background sync, or features where the real work is deciding what to build rather than typing it. That work runs at human speed because it is human thinking, and we will tell you which bucket your app falls into before you sign anything.
A senior iOS developer who runs the best available AI coding tools alongside their own hands. The tools draft the repetitive SwiftUI and Core Data work; the developer directs and corrects them.
The developer owns every architecture and data-model decision. AI never commits on its own, and no screen ships without a person reading the code behind it first.
A feature that traditionally fills three weeks often lands in about one. The savings come from cutting out boilerplate and typing, not from skipping the careful parts.
Day-to-day work in Swift, SwiftUI, and Xcode, with Core Data for local storage and your REST API for sync. The tooling is tuned to these stacks, so the speedup is real.
You own all code and IP from the first commit. Every AI-assisted file passes through human review before it reaches your repository or a TestFlight build.
Live overlap with US Eastern and Pacific hours for calls and demos. The build keeps moving across the time gap, so progress compounds overnight.
A workout-logging feature with offline Core Data storage that traditionally takes three weeks often reaches a usable build in about one. You hold a working app on your own phone sooner and can change direction before the work stacks up.
SwiftUI view layouts, Core Data fetch requests, and first-pass unit tests get drafted in seconds instead of typed by hand. That hands the developer's hours back for the navigation logic and data design that actually need a person.
AI surfaces edge cases and missing tests a tired developer might skip, and a senior engineer reviews every change. The result is steadier state handling and fewer of the crashes that only show up on a real device after launch.
The hourly rate runs higher than a standard developer, but the project finishes in far fewer hours. Multiply rate by hours and the total comes out lower, because the speed, not the per-hour figure, decides what you actually pay.
AI-powered developer working 40 hours/week on your project.
Same AI-powered developer, 20 hours/week. Consistent AI-augmented progress.
Pay for hours worked. Code reviews, sprints, or consulting with AI-powered output.
Hire a complete AI-powered team. Developer + designer + QA + PM, all using the best AI tools. Maximum output, one monthly rate.
This is the day-to-day delivery workflow, not the hiring process.
Get StartedWe map your screens, data model, and the REST endpoints the app has to talk to over a short call or two before any code gets written. This is also where we tell you straight which parts AI will accelerate and which features will move at normal pace.
The developer uses AI tools to sketch the SwiftUI view hierarchy, draft the Core Data schema, and weigh tradeoffs faster than a manual outline would allow. You see a concrete plan and a realistic timeline before the build starts, not a hand-wave estimate.
Routine SwiftUI screens and Core Data plumbing get scaffolded in a fraction of the usual time, freeing the developer's hours for navigation flow and the awkward sync logic. You typically get a TestFlight build in days, with progress that often advances overnight across the time gap.
AI drafts unit tests and flags edge conditions around offline state and threading, then a senior engineer reviews every change on a real device. No AI-generated code reaches your repository or a release build without a person reading it and owning the call to ship.
We handle the App Store submission, watch the app in real use, and turn your feedback into revisions quickly because the tooling makes small changes cheap. You send notes on a build in the evening and often see them addressed by the next morning.
Send us your screens and data model, and we will show you which parts AI tooling can accelerate and what the shorter timeline does to your total cost. The higher hourly rate pays for itself in the weeks you no longer spend waiting for an AI-Powered iOS Developer to finish.
Describe your project and requirements.