Mobile App Development Services

Mobile app development services cover everything required to take an app from idea to live in the Apple App Store and Google Play, and to keep it working afterwards: product strategy and discovery, UX and UI design, engineering the app and the backend it depends on, integration with existing systems, quality assurance across real devices, store submission and review, and post-launch maintenance. Firms differ mainly in how much of that they actually do. Some sell engineering hours only and expect you to arrive with a specification.

Published ranges run from roughly $20,000 for a simple single-platform app to $300,000 and beyond for a product with heavy integration and regulated data. The honest answer is that the range is useless without scope. The variables that move it most are the number of systems the app has to integrate with, whether it must work offline and reconcile later, whether it pairs with hardware, and how regulated the data is. A one-week discovery conversation will get you a defensible number faster than any calculator.

A focused first release typically takes 75 to 120 days. We shipped Tempo for Mailchimp in 75 days, GoFan in 75 days, MyUS.com's first app in under 90, and a full NAPA Auto Parts redesign in two months. Larger products with more integration run longer: Fusionetics took 171 days from platform to a new consumer app. What extends a timeline is almost never engineering speed. It is unresolved decisions.

Cross-platform, usually React Native, is the right answer for most business apps: forms, lists, dashboards, media, messaging, and anything you expect to change while you learn. Go native when the app depends on the camera, precise or background location, sensors, Bluetooth hardware pairing, offline reconciliation, or frame-rate. We have shipped both for nearly two decades, and the deciding factor is almost always how much the app touches the device itself rather than the budget.

Native apps are written for one platform in its own language, Swift for iOS and Kotlin for Android, and have full access to the device. Cross-platform apps share one codebase across both stores, most commonly with React Native or Flutter. Progressive web apps run in the browser and install without a store, which suits internal tools but limits device access. Beyond the technical split, apps divide by audience: consumer apps that live or die on store ratings, enterprise apps distributed internally, and field apps used by a workforce, which is where most of our work sits.

iOS and iPadOS in Swift and SwiftUI, Android in Kotlin, cross-platform in React Native, and Windows where the job requires it. Leica Geosystems' Safeload app runs on iOS, Android, and Windows from a single engineering effort. We also build the connected-device side: Bluetooth Low Energy, GPS telemetry, and biometric hardware.

More than mobile engineers. A working project needs product strategy, user research, interaction and visual design, mobile engineering on each target platform, backend and API engineering, integration work against systems you do not control, quality assurance across a device matrix, and release management for two stores with different review cultures. The common failure is hiring only the engineers and discovering that nobody owns the decisions.

A mobile app is installed from a store, can use the device fully, works offline, and can send push notifications. A web app runs in the browser, needs no install or store review, and updates instantly for everyone, but has limited device access and no real offline story. If your users are at desks with connectivity, a web app is often the cheaper right answer. If they are in a truck, a warehouse, or a facility hallway, they need an installed app.

In two separate ways, and they are worth keeping apart. Inside the product: HealthContext.AI is our ambient scribe running on the devices inside the NeverAlone care platform, documenting 100,000+ telehealth encounters in 2024 across 7 states, and Kayo for Cox 2M puts real-time vehicle location and engine diagnostics in a fleet manager's hand. The hard part is rarely the model. It is latency, offline behavior, what happens when confidence is low, and how a person overrides it. In the delivery: our engineers use AI for scaffolding, tests, migrations, and review, which compresses the mechanical work. Be skeptical of anyone claiming AI replaces senior engineers. Speed without review produces an app that ships once and then cannot be changed.

You do. The source code, the repositories, the App Store and Google Play accounts, the design files, and the roadmap. We document the work so another team can pick it up, because some clients keep us for years and some take the product in-house, and both should be possible without a negotiation.

Pattern recognition, mostly. A team that has shipped 200+ products since 2007 has already met the offline sync problem, the store rejection, the integration that was documented but not true, and the feature that tested well and shipped badly. That does not make a project risk-free, but it moves the surprises earlier, where they are cheap.

We embed. Most engagements put our designers and engineers alongside your product people, in the same time zone and the same standups. We are not a staffing desk sending resumes, and we are not a black box returning a build. Where a client has strong engineering and needs design and discovery, we do that part and hand off.