Mobile app development, AI inside.
Mobile app development for iOS and Android, with native polish and AI features users actually use: on-device ML, LLM assistants, voice and camera intelligence, all backed by solid APIs.

Apps that feel native, ship fast
We default to React Native and Expo when shared logic dominates, and go native in Swift or Kotlin where UX or on-device ML demands it. Users cannot tell the difference. Your release cadence can.
What our mobile app team delivers
AI-powered mobile app development from first prototype to store release. We decide what runs on the device and what runs in the cloud based on latency, privacy and cost.
- ✓Native iOS (Swift/SwiftUI) & Android (Kotlin)
- ✓Cross-platform with React Native + Expo
- ✓On-device ML (Core ML, TensorFlow Lite)
- ✓LLM chat, voice and camera features
- ✓Offline-first sync & local databases
- ✓Push notifications & deep linking
- ✓Auth (email, social, biometric)
- ✓Backend integration & APIs
- ✓Telemetry + crash reporting
- ✓App Store & Play Store submission
App Store ready, day one
Submission, rejection appeals, in-app purchases and privacy labels. We handle the platform paperwork that derails most launches.
Scope
Platforms, must-have flows, AI features and store strategy. A costed plan, not a wishlist.
Prototype
A working app in week one, even if rough. Tested on real devices, not simulators.
Polish
Animations, edge cases, accessibility, performance. The last 20% that makes apps feel premium.
Submit
App Store and Play Store submission, review responses, and a steady release train after launch.
Three ways into mobile app development
Platforms, core flows, AI features and backend work drive cost. Start with a focused MVP or go straight to a production app.
MVP build
A focused mobile MVP. One platform, core flows, public release.
- iOS or Android
- Auth + onboarding
- Core flows
- Store submission
- 1-month support
Production app
A polished cross-platform app with AI features, push, payments, telemetry and a real release pipeline.
- iOS + Android
- In-app purchases
- Push + deep links
- Telemetry + crash reporting
- Release pipeline
Embedded team
A mobile pod working alongside yours. Continuous delivery and regular store releases.
- 2–3 engineers
- Tech-lead overlay
- Friday demos
- Release-train cadence
- Shared on-call
Mobile app questions, answered
What does mobile app development cost?
The main drivers are platforms (iOS, Android or both), the number of core flows, AI features, payments and backend work. Scoping produces a costed plan, not a wishlist, so you know what the first release includes before we start.
How soon will we have a working app?
You get a rough but working app on real devices in week one. Time to store release follows scope: a one-platform MVP ships much sooner than a cross-platform production app with payments and AI features.
React Native or native Swift and Kotlin?
React Native with Expo when most logic is shared across platforms. Native Swift or Kotlin where the UX or on-device ML demands it. We make the call during scoping and explain the trade-off in writing.
Which AI features should run on the device?
Features that need low latency, work offline or touch private data, such as camera and voice processing, run on-device with Core ML or TensorFlow Lite. Heavier LLM features run in the cloud. We decide per feature on latency, privacy and cost.
Not sure which engagement fits? Tell us what you’re building and we’ll reply within one business day with a recommended starting point.
Often paired with mobile builds
Most engagements blend two or three disciplines. These are the most common pairings.
AI integration
LLM apps, AI agents and RAG systems built into your product, with evals, guardrails and cost controls from day one.
UI/UX for AI
Interfaces that make AI output clear, correctable and trusted, designed with engineers in the room.
Cloud & MLOps
AWS, GCP and Azure infrastructure for AI workloads: GPU inference, LLMOps pipelines and cost you can predict.
Mobile is where AI meets users in sectors like travel and hospitality AI solutions and healthcare AI solutions. Planning a first release? See how we scope AI MVPs for early-stage startups, or browse our AI case studies.
Ready to ship your mobile app?
We respond within one business day, with a real human and a real opinion.