Native interaction
Navigation, input, motion, and accessibility respect platform expectations.
Product engineering / Mobile
Mobile products that feel at home.
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Mobile apps
Native and cross-platform applications designed for the device, the network, and the store release process.
What we build
Useful from
day one.
KotlinComposeExpoReact Native
Offline-aware data
Sync and recovery are designed for interrupted networks instead of assuming a perfect connection.
Release ownership
Signing, store submission, monitoring, and update paths are part of delivery.
The route to production
Clear steps.
Visible progress.
Discover
We map the real workflow, risks, users, and success measure before choosing an implementation.
Build
Working software lands in visible increments, with the hardest assumptions tested first.
Prove
We validate against production-shaped data, failure paths, performance, and real use.
Ship
Deployment, monitoring, documentation, and a clean handover are part of the build.
Verified client reviews
In their words.
“Everything was set up perfectly and worked exactly as we needed. Super professional, easy to communicate with, and delivered right on time.”
“Very knowledgeable. Deployed my project successfully and was kind and patient throughout.”
Before you ask
Questions,
answered.
Native or cross-platform?
It depends on how much of the product lives at the platform seam. We build native with Kotlin and Compose and cross-platform with Expo and React Native, and the decision turns on background behaviour, hardware access, and how much the two platforms genuinely need to differ. Cross-platform is one codebase right up until it is not: background location, push behaviour, biometric auth, store billing and Bluetooth peripherals each drag you into platform channels and real Swift and Kotlin.
Why does the app work on our phones and fail for some users?
Usually background work, on a device nobody tested. The system kills cached background processes under memory pressure, batches network access once the screen has been off, and restricts starting a foreground service from the background — and several large manufacturers ship battery managers on top that ignore those rules and kill unrecognised apps outright. An app we inherited was fine on the previous team's Pixel and its background sync was dead within an hour of the screen turning off on a Xiaomi handset, so users saw three-day-old data and the one-star reviews wrote themselves.
How do you handle background work properly?
With the platform's own scheduler rather than a thread and a loop. Deferrable guaranteed work goes through the work scheduler with constraints for network and battery and backoff that respects the idle window instead of hammering a dead radio. A foreground service with a real notification is for when the user is actively watching a transfer. Expedited work is for when it genuinely has to happen now. Then it gets tested on the handsets your users actually hold, not the reference hardware.
What is process death and why does it matter?
It is a normal event, not an edge case. Background the app while memory is tight and the system kills the whole process but keeps your task in the recent apps list, so the user returns into a screen rebuilt from nothing with every in-memory value gone. Apps built without that discipline lose the half-filled form or bounce back to the login screen when someone takes a call mid-checkout, and it reads as a flaky, unreproducible bug. State lives in saved-state handles and a persistence layer, and we test it deliberately with the developer setting that destroys activities on leaving them.
How do you deal with the number of devices out there?
By testing rather than coding around it. There is no single Android phone: thousands of screen sizes, a live spread of OS versions, notches, foldables that fire a configuration change mid-fold, and manufacturers who patch the framework so a standard API behaves differently. We run builds across a device farm, set the minimum supported version from real install-base data rather than a guess, and treat a low-memory device as a first-class target, because that is what a field technician or a warehouse worker is actually holding.
Why do bugs appear only in the release build?
Because a debug build and a release build are two different programs. Release turns on ahead-of-time compilation, tree shaking and code shrinking, and that is precisely where it breaks: the shrinker strips a model class the JSON parser looks up by reflection, or minification renames a method a plugin calls across a platform channel. We write tight keep rules, run the full QA pass against the signed release variant rather than debug, and upload the deobfuscation mapping with the build so the first crash report is readable instead of a stack of one-letter names.
What does offline-aware actually mean?
Designing for interrupted networks instead of assuming a perfect one. Data syncs and recovers rather than failing the screen, a request that dies mid-scroll leaves the list usable, and the empty, error and retry states get built because that plumbing is a large share of a real app. A list backed by tens of thousands of local rows also has to stay smooth on mid-range hardware, which is a profiling exercise on physical devices — a simulator has no memory ceiling and a LAN-speed network, so it is lying to you.
Who handles the store submission?
We do; it is part of delivery rather than a separate launch task. Signing, app bundles, staged rollouts that reach a small percentage of users before everyone, and internal and closed testing tracks wired to CI mean a bad build is halted before it reaches your whole install base. Done properly an update is a routine Tuesday; done badly every release is a coin flip you learn about from a rating that takes months to climb back.
What gets an app rejected?
Declarations that do not match the code, most often. Permissions requested for a feature that does not need them, a data-safety form that does not describe everything the manifest allows, and missing platform requirements such as in-app account deletion will all stop a working app. We watched a launch slip two weeks because a vendor requested background location for a feature that only needed foreground location and could not write the justification. Review also runs a loop of a day or two per rejection, so three bounces is a fortnight rather than three days.
Why does mobile cost more than the screens suggest?
Because the happy-path screens — the ones a demo shows — are about a week, and the rest is the platform. Process death, idle-mode and foreground-service restrictions, manufacturer battery managers, release-build shrinking, device fragmentation and the store's review and policy machine are the majority of the work and none of it appears in a demo. A vendor who priced only the visible week gets paid for the rest in reviews.
From the journal
Further reading.
Start with a paragraph, a Figma, or a Loom.
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