Cost depends on feature complexity, the number of native modules required, and whether the app needs AI features like on-device inference. A single codebase for iOS and Android typically costs less than building two native apps - we'll give you a real estimate after discovery.

Yes, with the right framework. React Native and Flutter both support native modules for camera, biometrics, push notifications, and most hardware features. We'll flag upfront if anything in your spec genuinely needs a native-only approach.

Encrypted local storage, certificate pinning, and platform-standard secure storage (Keychain on iOS, Keystore on Android) are standard in every build, not an add-on.

One codebase means faster iteration, lower maintenance cost, and consistent behavior across platforms. For apps that don't need deep OS-specific integration (ARKit, CarPlay, Wear OS complications), hybrid is usually the faster, cheaper path to the same result.

Yes. On-device ML via TensorFlow Lite or Core ML bridges, LLM-powered features via API, and recommendation engines can all be integrated into a React Native or Flutter codebase.