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Who owns the built applications?
Upon final balance clearance, complete ownership rights of the codebase, custom designs, data models, and deploy assets transfer to your company.
Where does our data go when the AI features run?
Wherever you decide. By default we use model providers that do not train on API traffic, keep embeddings and documents in your own Postgres, and can run open-weight models on your infrastructure when data must not leave it.
How are communication streams run?
A shared WhatsApp or Slack channel straight to the engineers building your system, plus a written changelog of every release and a short weekly review call.
What is a typical project timeline?
Focused tools and marketing sites typically ship in about four weeks. A multi-tenant platform reaches its first production release in roughly 10–16 weeks, with working increments on a live preview every week along the way.
How is pricing structured?
Fixed-scope engagements are quoted per project after discovery; ongoing work runs on a monthly retainer sized to sprint capacity.
What technology stack do you build on?
Matched to the problem, and boring where it can be: FastAPI and Postgres with pgvector on the backend, Angular or React on the web, Flutter for iOS and Android, and Claude, OpenAI or open-weight models behind the AI features — chosen per task and swappable later.
What support is provided after launch?
Post-launch coverage includes logging review, latency monitoring, and scaling policy adjustments under a defined support window before transitioning to your team.