Trusted by companies across the USA
One Flutter codebase for iOS and Android, shipped in days with human review.
A Flutter developer who pairs years of Dart and mobile experience 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. Speed without skipping review.
We match you within 48 hours.
Trusted by companies across the USA
A fitness studio owner needed a booking app for both iPhone and Android: class schedules, member sign-in, push reminders, and Stripe payments. The quote from her previous shop ran six weeks before she would see a usable build on either platform. Our AI-Powered Flutter Developer had a working version running on both an iOS simulator and a real Android phone in about nine working days. One Dart codebase, both stores, a fraction of the calendar time.
That gap is the entire point of this model. The best available AI coding tools handle the parts of Flutter work that burn hours without needing much judgment: scaffolding widget trees, wiring Firebase auth and Firestore reads, drafting Dart models from a REST API response, and generating the first pass of widget tests. A senior developer then reviews every change, fixes what the tool got wrong, and makes the state-management and navigation calls a tool cannot make on its own. You get the throughput of the tooling and the judgment of someone who has shipped production mobile apps for years.
Our team works from Gandhinagar, India, and we have built software for companies across 20+ countries since 2015. Our developers overlap with US business hours for live calls, demos, and quick decisions, then keep building while you sleep. The time difference plus AI-augmented output means you often record a Loom with feedback at the end of your day and wake up to a revised build on TestFlight the next morning. That rhythm is what makes the days-not-weeks pace real rather than a sales line.
Here is the honest part. AI tooling speeds up the well-worn work: list and detail screens, form-heavy flows, Firebase wiring, and the repetitive widget variants that fill most apps. It does not speed up deep platform-specific work, like a custom camera pipeline, Bluetooth LE pairing, or a tricky native iOS permission flow, where the hard part is the platform itself and not the typing. For that work you are paying for human problem-solving at human speed, and we will tell you which bucket your app falls into before you commit a dollar.
A senior Flutter developer who runs the best available AI coding tools alongside their own work. The tools draft the repetitive widget and Dart code; the developer directs and corrects them.
The developer owns every state-management, navigation, and architecture decision. AI never commits on its own, and no screen ships without a person reading the code first.
Work that traditionally fills six weeks across both platforms often lands in about three. The savings come from cutting boilerplate and typing, not from cutting corners on either store.
Day-to-day work in Flutter and Dart, wired to Firebase and your REST API, shipping to both iOS and Android from one codebase. The tooling is tuned to these stacks, so the speed 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 either app store.
Live overlap with US Eastern and Pacific hours for calls and demos. Building continues across the time gap, so a TestFlight build is often waiting for you in the morning.
A booking app that traditionally takes six weeks to a first usable build on both platforms often shows up in about three. You hold real screens on a real phone sooner and can correct course before the work compounds.
Widget scaffolding, Dart model generation, and first-pass tests get drafted in seconds instead of hand-typed. That frees the developer's hours for navigation logic, animations, and the platform quirks that actually need a person.
AI surfaces edge cases and missing null checks a tired developer might skip, and a senior engineer reviews every change. The result is steadier widget behavior and fewer of the crashes that only show up on a specific Android model.
The hourly rate sits above a standard developer, but the build finishes in far fewer hours. Multiply rate by hours and the total lands lower, because the pace, not the per-hour figure, drives 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 shapes, and platform requirements over a short call or two before anyone opens an editor. This is also where we tell you honestly which flows AI will accelerate and which native or platform pieces will move at normal pace.
The developer uses AI tools to sketch the widget hierarchy, draft Dart models from your API, and weigh state-management options faster than a manual outline would. You see a clear plan and a realistic timeline before the build starts, not a vague guess.
Routine Flutter screens, Firebase wiring, and form flows get scaffolded in a fraction of the usual time, leaving the developer's hours for navigation, animation, and platform-specific behavior. You typically get a reviewable build running on both platforms in days, with progress that often advances overnight.
AI drafts widget tests and flags edge conditions like null states and slow network, then a senior engineer reviews every change line by line. We also test on real iOS and Android devices, because a simulator rarely catches the bug that only happens on an older phone.
We ship to TestFlight and the Play Console, watch the app in real use, and turn your feedback into revisions quickly because the tooling makes small changes cheap. You record notes at the end of your day and often see them addressed by morning.
Send us your screen list and feature set, and we will show you which flows 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 a build.
Describe your project and requirements.