What we build / Flutter · cross-platform

Flutter · cross-platformDedicated podAI-native

Flutter apps that don't feel cross-platform.

One codebase, both stores — we build Flutter apps that keep native-grade polish while moving faster. We'll also tell you honestly when Flutter is the right call and when it isn't.

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What we build

Cross-platform, without the compromise.

Single codebase

iOS and Android from one Flutter codebase, shipped in step.

Native-grade feel

Polished UI and performance that doesn't betray its cross-platform roots.

Faster iteration

One team, one codebase — features land on both platforms at once.

Honest advice

We'll tell you when native is the better choice. No dogma.

How we build it

AI-native delivery, governed by architects.

01DiscoveryAI-augmented scoping with senior architects
02ArchitectureSystem design + security, governed
03BuildAI pair-programming, every commit reviewed
04QA gateAutomated testing + expert review
05OperateMonitoring, iteration, continuous delivery

The same five-step delivery model behind every Wegile build. Not an AI wrapper — a production AI team.

Under the hood

Built for cross-platform speed.

FlutterDartSingle codebaseNode.js · NestJSPostgreSQL · AWSFirebaseStripe

Flutter where one codebase is the right call — with native-grade polish preserved.

Questions Flutter buyers ask us

Before you start. Straight answers.

When is Flutter the right choice — and when isn't it?

Flutter is the right call when you need both platforms in step, the product doesn't depend on deep platform-native UX, and you want a single team moving fast. It's not the right call when hardware integrations (BLE, custom sensors) require extensive native work, or when the differentiator is a platform-native look and feel.

How do you handle platform-specific features Flutter doesn't cover natively?

Platform channels. Where Flutter's widget layer doesn't reach, we write native modules in Swift and Kotlin and bridge them properly — not workarounds.

Can you modernize or add features to an existing Flutter app?

Yes — dependency updates, Dart version migrations, architecture refactoring, state management improvements, and new feature additions.

Can you add AI features to a Flutter app?

Yes. Cloud-backed LLM features, on-device inference, and backend AI workflows can all be added to Flutter apps through the six-gate governance pipeline.

Considering Flutter? Let's pick the right tool.

Response within 24 hours. After the architecture call, a named pod and day-one plan arrive within 4 business hours.

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