Cost depends on platform choice, feature complexity, and whether the app includes AI features like on-device inference or personalization. Most MVP-scope apps fall into a fixed-price sprint; larger builds run as milestone-based engagements. You get a scoped estimate after a 30-minute discovery call, not a generic price list.

Yes. We work with pre-seed startups validating a first release through enterprises scaling an existing app to millions of users. Sprint engagements are specifically structured for startups that need a real, working app fast without over-building.

Yes - this is one of our most common engagements. On-device ML, LLM-powered assistants, recommendation engines, and computer-vision features can usually be integrated into an existing codebase without a full rebuild.

It depends on your user base, budget, and how deep you need to go into platform-specific capabilities (camera, sensors, background processing). We'll give you a direct recommendation in the discovery call rather than defaulting to whichever stack is easiest for us to staff.

Every engagement includes a post-launch support window covering crash triage, OS-update compatibility, and app-store review issues. Many clients move to an ongoing maintenance or Dedicated Team retainer after the initial release.