Technologies we build with

Native iPhone and iPad apps in Swift with SwiftUI and UIKit, Swift Concurrency, and SwiftData or Core Data.

Native Android apps in Kotlin with Jetpack Compose or XML layouts, Coroutines and Flow, and Room for local data. We also maintain and extend Java codebases.

Adaptive layouts for iPhone Duo on iOS 27.1, Android foldables like the Galaxy Z Fold, and iPad, plus apps updated for Apple's Liquid Glass design.

watchOS companion apps that bring notifications, quick actions and health data to the wrist.

Moving existing apps to current tools: Objective-C to Swift, UIKit to SwiftUI, Java to Kotlin, and XML layouts to Jetpack Compose.

Apps that talk to sensors, wearables and connected hardware over Bluetooth Low Energy (Core Bluetooth on iOS), and read or write NFC tags.

Reading and writing health and fitness data through Apple HealthKit and Android Health Connect, with the user’s permission.

Apple Pay, Google Pay, and in-app purchases and subscriptions with StoreKit 2, Google Play Billing and RevenueCat.

Push through APNs and Firebase Cloud Messaging, and Universal Links and App Links that open the right screen in the app.

MapKit and the Google Maps SDK, location tracking, camera capture, and augmented reality with ARKit and ARCore.

Sign in with Apple, Sign in with Google, and Face ID, Touch ID or fingerprint unlock.

Apps for iOS and Android from one TypeScript codebase, built and shipped with Expo and EAS.

Apps for iOS, Android and the web from one Dart codebase, compiled to native code.

Shared Kotlin code across iOS and Android, from business logic to shared UI with Compose Multiplatform.

A progressive, approachable framework for performant web apps.

Server-rendered, SEO-friendly Vue applications out of the box.

Fast, component-driven web interfaces backed by a vast ecosystem.

Production-grade React with SSR, SSG and edge rendering.

A robust, opinionated framework for large-scale enterprise web apps.

JavaScript with types, which catches mistakes before they reach users and keeps large codebases easier to change.

Astro for fast content sites, and Svelte and SvelteKit when they suit the project.

Versioned REST APIs that connect web and mobile apps to their back ends and to third-party systems.

An API layer that lets apps ask for exactly the data a screen needs in a single request.

A Ruby framework for web apps, admin panels and APIs, built around conventions that speed up development.

The JavaScript runtime behind our Express and NestJS back ends, suited to real-time features and APIs.

A minimal Node.js framework for lightweight APIs and web back ends.

A structured Node.js framework for larger APIs and back ends written in TypeScript.

The language behind our Django and FastAPI back ends, and much of our data and AI work.

A batteries-included Python framework for secure, scalable web apps and admin panels.

A fast Python framework for APIs, often used to serve AI and data features.

Microsoft's framework for back ends and APIs, often the natural fit for products built around Azure.

An open-source relational database we use across many of our web and mobile back ends.

A widely used relational database for web back ends and the existing systems they connect to.

A document database for flexible data that does not fit neatly into tables.

An in-memory store for caching, sessions, queues and real-time features.

A lightweight database inside the app, so it keeps working when the connection drops.

Apple's frameworks for storing data on the device in iPhone, iPad and Apple Watch apps.

Android's database library on top of SQLite, for local data in Kotlin apps.

An open-source on-device database we support in existing mobile apps.

Hosting, storage and serverless infrastructure on Amazon Web Services, where we are a Select Tier Services Partner.

Managed PostgreSQL and MySQL on AWS, with backups, scaling and failover handled by the platform.

Cloud hosting for products that run on, or connect to, the Microsoft ecosystem.

Hosting, storage and data services on Google Cloud Platform.

Push notifications, analytics, crash reporting and lightweight back ends for mobile apps.

Containers that package an app with everything it needs, and orchestration that runs and scales them.

Infrastructure written as code, so environments can be recreated and reviewed like any other change.

Managed hosting that puts web apps and APIs live without running your own servers.

Automated builds, tests and deployments with GitHub Actions, GitLab CI, Jenkins or CircleCI, whichever fits the project.

Bitrise, Xcode Cloud and fastlane, which build, sign and upload every iOS and Android release.

TestFlight and App Store Connect for iOS, Google Play Console internal and closed testing for Android, and Firebase App Distribution for both.

XCTest, Swift Testing and XCUITest on iOS, Espresso and Compose UI tests on Android, and Maestro for end-to-end flows on both.

Test case management, so manual and automated test runs are planned and tracked in one place.

Sentry, New Relic, OpenTelemetry and Firebase Crashlytics, which flag errors and slowdowns in a live product, often before users report them.

PostHog and Firebase Analytics, to see how people use the product and where they drop off.

Profilers for finding slow screens, memory leaks and battery drain on iOS and Android.

GPT models for chat, summaries, writing help and pulling structured data out of text inside your product.

Anthropic's models, suited to long documents, detailed instructions and multi-step agent workflows.

Google's models, which work with text, images, audio and video in a single request.

Foundation Models framework, Core AI and Core ML on Apple devices, and Gemini Nano (ML Kit GenAI APIs) and LiteRT on Android, for AI features that keep data on the phone.

Llama, Mistral and other open-weight models, run on your own cloud or servers when data has to stay in-house.

Speech-to-text and text-to-speech for voice features, transcription and spoken replies.

Google's video generation model, for generated clips inside a product, demos and on-brand visuals.

Anthropic's coding agent, which works across a whole codebase from the terminal or editor.

OpenAI's coding agent for writing, reviewing and testing code.

An AI code editor for drafting, refactoring and testing code.

AI code suggestions inside the editor as engineers write.

Agentic coding in Xcode 27 and Gemini in Android Studio, inside the IDEs our mobile engineers already use.

Model Context Protocol connections that give coding agents access to Jira, Figma, GitHub and the other tools the team works in.

AI design tools for faster wireframes, layouts and design exploration.