It depends on feature scope, whether the app needs on-device ML or backend AI, and platform depth (e.g. Wear OS, background services). We give you a scoped estimate after a discovery call - not a flat rate that ignores your actual requirements.

Senior Kotlin and Java engineers work your project start to finish - no junior handoffs after the sales call. We also bring AI integration expertise (ML Kit, TensorFlow Lite, LLM APIs) that most Android-only shops don't have in-house.

It depends on scope, design complexity, and third-party integrations (payments, maps, ML models). We'll give you a real timeline after discovery, not a marketing estimate.

Yes - Play Console setup, store listing optimization, release management, and crash monitoring are part of every engagement, not an upsell.

Yes. On-device inference with ML Kit or TensorFlow Lite, LLM-powered features via API, and recommendation engines can typically be integrated into an existing Kotlin/Java codebase without a rewrite.