In a basement with no signal, on a job site in the rain, on a five-year-old Android. We build mobile apps for field teams and customers — shipped to both stores, released on a schedule, and ready to carry AI features inside them.
If a responsive web app would do the job, we will say so and save you a store account. An app is the right call when you need the camera, background location, offline reliability, biometric sign-in, notifications people actually receive, or an icon on the home screen of someone who opens it eleven times a day.
Job details, checklists, photos, signatures, time and parts capture, route context. Built for gloves, glare and dead zones — large targets, forgiving inputs, and no screen that requires a stable connection to be useful.
Booking, status tracking, documents, payments, messaging and loyalty. The screens that turn a support call into a tap, and the notifications that keep people informed before they think to ask.
Mobile projects fail on the server far more often than on the client. Sync, auth, permissions, media handling, versioned APIs that keep old app versions working, and push infrastructure are all part of the build — not a separate project you discover halfway through.
There is no universal answer, and anyone who gives you one before hearing your feature list is selling their comfort zone. We frame it around three questions: how deep into the device you need to go, how many teams will maintain it, and how different the two platforms' experiences need to be. Heavy camera work, background location, audio processing, widgets and OS-level integrations lean native. A forms-and-lists app that ships to both stores from one codebase usually does not.
Connectivity is a state, not a requirement. The app reads from a local database, queues writes while offline, and reconciles when signal returns — with explicit rules for what happens when the same record was edited in two places. We design those rules with you, because the right answer differs: last write wins is fine for a job note and dangerous for an inventory count. Photos and attachments upload in the background with retry, so a technician can finish and drive away.
A notification is a promise that something needs attention. Break that promise a few times and the channel is gone permanently. We build categories users can control, deep links that open the exact record rather than the home screen, quiet hours that respect a technician's evening, and delivery reporting so you know what actually landed. Permission is requested in context, after the value is obvious — not on first launch before anyone knows what the app does.
Getting the binary built is the easy half. We handle developer accounts registered to your company, signing and provisioning, privacy nutrition labels and data-safety forms, listing copy and screenshots, and the review responses that follow. After launch, releases go out on a predictable cadence: automated builds, testers on every candidate, staged rollout to a small percentage first, and feature flags so a problem can be switched off without waiting on a review queue.
Field staff and customers generate the observations your automation runs on. An app is the cleanest capture point you will ever have — if it is built to structure what it collects instead of storing free text nobody reads.
Three patterns come up again and again. Voice capture: a technician speaks the job summary on the walk back to the truck and the app returns a structured report with parts, time and follow-up flagged — no typing on a cracked screen. In-app assistants: a customer asks about their appointment, their invoice or their coverage and gets an answer drawn from live systems, with a clean handoff to a person when the question outgrows the agent. Smart notifications: alerts triggered because an agent noticed a pattern, written to say what to do next rather than merely that something occurred.
All of it runs on the same integration layer as the rest of your automation, so an interaction on the phone updates the CRM, fires the follow-up sequence and reaches the dispatcher without anyone re-keying it.
Both platforms ship a major OS release every year, signing certificates expire on a fixed date, SDKs get deprecated on somebody else's schedule, and a device you never tested becomes a quarter of your installs. None of that is optional maintenance — miss it and the app eventually stops being downloadable at all.
Budget the second year before you commit to the first. We agree a support window up front, update dependencies on a cadence, and report crashes by device and OS version so a fix can be aimed rather than guessed.
We map the workflow the app has to fit into, including the parts people improvise. Feature list, platform decision, device matrix and a phased scope come out of it, priced.
30-min call · roadmap deliveredTwo-week cycles with a build in your team's hands at the end of each one. Real hardware, real network conditions, real feedback — long before anything reaches a store review queue.
Typically 8–14 weeksStaged store rollout, crash and performance monitoring, then a steady release cadence that keeps pace with OS updates and adds the AI features once the data model has settled.
Ongoing partnershipIt depends on what the app does with the device. Heavy camera work, background location, audio processing, widgets and deep OS integration push toward native. A forms-and-lists app shipping to both stores with one small team is usually better served cross-platform. We answer it in discovery against your feature list and your maintenance budget, and we tell you the trade-off rather than defending a preference.
The app keeps working. Reads come from a local database, writes queue on the device, and everything syncs when the connection returns. The important design work is conflict handling: deciding what wins when the same record changed in two places. We decide those rules with you during architecture rather than discovering them in the field.
Yes, into developer accounts registered to your company. We prepare listings, screenshots, privacy disclosures and data-safety declarations, handle review responses, and manage staged rollouts. First submissions get rejected for predictable reasons, so we prepare for those before filing rather than after.
Usually. We start by reviewing the codebase, the build pipeline, the store accounts and the crash data, then give you an honest read on whether it is worth maintaining. Apps that have gone two or three OS versions without an update often need a release-readiness sprint before any new feature is safe to add.
Concrete things, not a chat bubble in the corner. A technician dictates job notes and the app returns a structured report. A customer asks about their appointment and gets an answer from live scheduling data. A notification fires because an agent noticed something changed, and it says what to do next rather than just that something happened.
On a predictable cadence with a rollback plan. Builds are automated, testers get every release candidate before the public does, and store rollouts go out to a small percentage first while we watch crash-free rates. Feature flags let us turn something off without waiting on a review cycle.
Thirty minutes, no charge. We will tell you whether an app is the right answer, what it would take, and what it would cost — and send you the roadmap either way.
Roadmap delivered · whether or not you build with us