Mobile App Development Built for the Years After Launch

It depends on what the app has to do, and we argue it from your requirements rather than a default. Cross-platform wins for most business and content apps and roughly halves the cost. Native wins where you need deep platform integration, heavy graphics, background processing or the newest OS features on day one. We put the trade-off in writing during discovery so the choice is yours.

Yes, including the parts that cause rejections: privacy manifests, permission rationales, data disclosures and account deletion. We set up the pipelines and can submit on your behalf or hand the process to your team documented. The accounts and certificates stay yours throughout.

We start with a short discovery call to clarify goals, constraints, and success metrics. Then we identify high-impact AI use cases, review your data and systems, and propose a phased roadmap with costs and risks attached to each phase.

Discovery runs 2 to 4 weeks, an MVP typically lands in 8 to 16 weeks of weekly-demo sprints, and operate is an ongoing arrangement with monitoring and support after launch.

Fixed-scope work is priced per milestone, dedicated teams are billed monthly per seat, and staff augmentation is weekly or monthly. You pick the model that fits and can switch between phases. There is a fuller breakdown of what moves the number on our AI development cost page.

You do. The full repository, documentation, and deployment transfer to you at every milestone, with no lock-in to us.

NDAs from day one, scoped access, and data residency decided at the architecture stage. We work within HIPAA, SOC 2, and similar requirements where they apply.

We monitor accuracy, cost, and uptime, run regression checks as models drift, and keep a defined escalation path with support so the system stays healthy after release.