Custom Flutter apps
Mobile apps on Flutter with stable performance and a smooth, native-like experience on iOS and Android, from a focused MVP to a full product.
Cross-platform apps on Flutter that feel native on iOS and Android and ship from one codebase. Faster launches, lower costs and a consistent experience, with AI features where they make the product smarter.
Mobile apps on Flutter with stable performance and a smooth, native-like experience on iOS and Android, from a focused MVP to a full product.
Interfaces designed for usability, with clear navigation and flows that follow iOS and Android patterns while keeping your own product style.
Moving existing apps to Flutter, or updating older Flutter versions, to improve performance and make the app easier to maintain.
Personalisation, assistants, recognition and smart recommendations built into the app on OpenAI and Claude models, with your data kept under control.
Platform features that Flutter does not cover out of the box, written in Swift and Kotlin and connected to the shared code.
APIs, push notifications and payments behind the app, n8n workflows for the logic that changes often, then App Store and Google Play releases on a schedule.
AI in this service
One codebase means every AI feature reaches both platforms at once. Three ways AI changes a Flutter project.
Assistants, recognition and recommendations are built once in the shared code and released on iOS and Android together, with the same behaviour on both.
Onboarding, notifications, moderation and support requests handled by n8n workflows and AI agents, so the app runs without a manager behind every action.
AI-assisted development and Flutter's hot reload shorten the loop; senior engineers own the architecture and review every change before release.
Why Qberry
One codebase and short development loops let you release versions and features earlier, and test an MVP on real users with less effort.
Users get the same logic, behaviour and visual identity on iOS and Android, on phones and on tablets.
A single codebase means fewer differences between platforms, less duplicated testing and less regression work with every release.
Flutter for both platforms, native code where needed, AI and automation behind the screens.
With our technical process

A unified system for processing leads from all channels — validation, CRM deal creation, distribution among managers, and instant client response.
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Automated initial client interaction powered by n8n and AI — filtering non-target inquiries and passing only qualified leads to managers.
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An AI assistant answers on every channel, collects the car, problem and urgency, checks the live schedule and turns each request into a ready-to-confirm booking.
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An AI assistant answers car enquiries on every channel, collects budget, make, year, engine and market, matches live US & Korean auction cars and hands the manager a qualified buyer.
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AI assistant for an online store: shoppers describe what they need in their own words, the assistant asks follow-up questions and shows products with live prices and stock from the store's API. Built into the existing store in 2 months.
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AI administrator for private clinics: booking, reminders, pre-visit questions and follow-ups in Telegram, WhatsApp and on the website, with one admin panel for the team.
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A dispatcher hub and driver mobile app that turn check calls into live data: driver statuses, automatic location sharing, rich chat with document scanning, and two-way TMS sync — multi-carrier by design.
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TMS for the logistics company with automated route planning and delivery points management modules. The solution's integration with the existing LMS
View detailsBuilding custom cross-platform apps on Flutter: business analysis, design, app and server-side development, QA testing, release to both stores and support. Today that usually includes AI features and an automated backend.
Besides building the app, we design it, test it, publish it and maintain it after release, migrate existing apps to Flutter and add AI features to Flutter apps that already exist.
Look at the team's real experience with payments, in-app communication, cloud infrastructure and app security, and check that design and QA are part of the service. Ask how they use AI in development and who reviews every change.
Check the portfolio, talk to previous clients and look at the stack: Dart and Flutter for the shared code, Swift and Kotlin for native modules. A good partner also explains when React Native or a native app would suit your product better.
Business analysis with documented requirements, UI/UX design with wireframes, app and server-side development, the release to the App Store and Google Play, and maintenance or new features when you need them.
Apps for e-commerce, media and online marketplaces, business systems such as ERP, HRM and CRM for larger companies, and AI assistants and tools that work with company data.
Let's talk about your project
$ qberry --how-we-work
→ scope_and_estimate/
# clear scope and estimate before we start
→ weekly_demo/
# you see working progress every week
→ one_pm_on_your_side/
# one contact who owns your project
$ launch && support ▶
no black box —you see every step