Offline-first where it matters
Queues, sync, and conflict resolution for field and travel use cases.
- Local DB
- Sync
- Retry
- Background tasks
Built for pockets, not pitches
Store approval, OS fragmentation, and battery drain are constraints we plan for from day one. Not problems we discover a week before launch.
How we ship mobile
React Native or native Swift/Kotlin, we optimise for offline support, push notifications, and review cycles.
Queues, sync, and conflict resolution for field and travel use cases.
Privacy labels, permissions copy, and review guidelines baked into sprint zero.
Crash, performance, and funnel events with sampling and PII rules.
Tokens and components that stay aligned with your web brand.
Delivery modes
Platform decisions follow context: hardware needs, how fast you release, and which skills your in-house team wants to maintain after handover.
User outcomes
These are the levers we adjust when daily active users plateau or store reviews mention crashes. Specific interventions, not generic slogans.
Outcome 01
First-session flows are measured and trimmed. Fewer fields, clearer value, and permissions requested only once users understand what they gain.
Outcome 02
Sync engines and conflict resolution for teams in warehouses, clinics, or transit. Not cosmetic offline banners that fail quietly in the background.
Outcome 03
Notification strategy tied to user segments and quiet hours. No blanket blasts that trigger the uninstall spike every product team dreads.
Outcome 04
Compatibility sprints after each major iOS and Android release. You keep shipping while competitors scramble to fix regressions.
Mobile craft
Payment SDKs, health data permissions, and background location each carry store review risks. We have navigated them so you do not have to.
01
Screenshots, review notes, and demo accounts prepared for each guideline season. Guideline 4.3 and 5.1 surprises accounted for.
02
We profile on devices your analytics actually show. Not just flagships. So jank does not hide until users in growing markets churn.
03
Mobile and API teams share OpenAPI or protobuf specs. Version skew between app and server is caught in staging, not by end users.
04
Weekly funnel reviews during the first ninety days. Crash fixes and onboarding tweaks ship while your acquisition spend is still fresh.
Mobile track record
45+
Apps published on App Store and Google Play
4.6★
Average rating across managed apps
30%
Typical daily active user lift after UX iteration
Lifecycle
Mobile delivery is never finished at v1. Our process builds in space for analytics-driven improvements well after the icon lands on home screens.
Step01
We identify what the app must do in a pocket: notifications, offline moments, thumb-zone interactions. Platform choice follows from those answers.


Step02
Privacy labels, account deletion, and payment rules mapped early. Review rejections will not blindside your marketing launch window.
Step03
Gestures, empty states, and permission prompts prototyped on real devices. No desktop mockups that ignore notch placement and keyboard behaviour.


Step04
TestFlight and internal tracks ship weekly. Crash-free session rates and ANR metrics get the same attention as backend error budgets.
Step05
Test matrices built from your analytics data: OS versions, screen sizes, low-memory conditions, and unstable networks that store reviewers skip.


Step06
Submission assets, staged rollouts, and review prompt timing planned together. Plus a standing backlog for annual OS changes that break assumptions.
Technology stack
Native, cross-platform, and hybrid tooling chosen for store compliance, performance, and how fast your product needs to ship.
A modern, concise language for Android development offering interoperability with Java, safer code, and faster app development cycles.
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Case studies
FAQ
Flutter works well for most consumer and B2B apps with shared UI logic. Go dual native when you rely on heavy AR, background Bluetooth, or platform widgets that cross-platform bridges still handle poorly.
We draft technical answers and data-collection maps your legal team can review. This cuts the back-and-forth cycles when Apple or Google request clarification.
Physical device lab for core paths, cloud farms for breadth. We prioritise the models and OS versions that show up in your Firebase or Analytics data.
We audit crash clusters, slow screens, and onboarding drop-off, then ship fixes in priority order. Ratings recover when stability and core flows improve. Not from prompt spam.
Internal builds, SSO, and per-tenant configuration are all supported. That includes apps that never touch the public store.
Get in touch
Share platforms, offline requirements, and target store timeline. We will respond with a stack recommendation, review risk notes, and a phased delivery outline.