What we build / Android · Kotlin

Android · KotlinDedicated podAI-native

Android apps built for every device that matters.

Native Kotlin, built to handle Android's device diversity and scale to millions — we ship Android products that perform everywhere and keep shipping for years.

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What we build

Native Android, at scale.

Kotlin & Jetpack

Modern native Android built for performance across the device landscape.

Device compatibility

Engineered for Android's real-world fragmentation, not just the flagship phone.

Hardware & BLE

Bluetooth, GPS, and device integration done reliably.

Play Store craft

Store-grade quality and smooth, staged rollouts.

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

Native Android, built to last.

KotlinJetpackBLE / GPSNode.js · NestJSPostgreSQL · AWSStripeFirebase

Native Kotlin engineering built for Android's real-world device diversity.

Questions Android buyers ask us

Before you start. Straight answers.

How do you handle Android's device fragmentation?

Modern Kotlin and Jetpack abstract most fragmentation. We test on a representative device set — not just flagships — and engineer for real-world Android conditions: varied screen sizes, OS versions, hardware capabilities, and connectivity.

Do you handle Play Store submission and staged rollouts?

Yes — submission, compliance, listing, and staged rollout management are part of every Android engagement. We monitor crash rates and user feedback during rollout before expanding to 100% of users.

Can you modernize an existing Android app?

Yes. Kotlin migration from Java, dependency updates, Jetpack adoption, architecture refactoring, and Play Store compliance review — all incremental, no big-bang rewrite required.

Can you add AI features to an existing Android app?

Yes — on-device inference, cloud-backed LLM features, recommendations, and automation can all be added to existing Android apps through the six-gate governance pipeline.

What happens after launch?

The same pod continues — new Android OS compatibility, Play Store releases, performance improvements, and feature development. Android's annual OS releases require ongoing maintenance; we handle that as part of long-term pod engagements.

Need an Android app? Let's make it run everywhere.

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

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