What does Arcode do?
We design and ship websites, mobile apps, AI automations, MCP servers, and full-stack software products — AI agents and RAG systems through to production web and mobile platforms, for startups and growing teams.
Is Arcode an agency, a freelancer, or a studio?
A studio: one team handling discovery, architecture, interface, build, and launch, rather than a freelancer's single point of failure or an agency's handoffs between departments.
What engagement models does Arcode offer?
Three. A fixed-scope build (6-12 weeks) for a defined product or platform, priced up front and delivered in two-week cycles. Embedded engineering (monthly) where we join your team as the product engineering function. And an AI feature sprint (2-4 weeks) for a single agent, MCP server, or RAG feature wired to your real tools.
How long does a project take?
It depends on the engagement: 6-12 weeks for a fixed-scope build, 2-4 weeks for a single AI feature, or an ongoing monthly arrangement for embedded work. Exact dates depend on scope and how quickly decisions and access come back.
Who owns the code and the accounts?
You do, from the first commit. Repositories, cloud accounts, and third-party services are yours, and the handover includes runbooks and architecture notes so the work does not depend on us still being involved.
What happens after launch?
Launch is a milestone, not the end of the work. We monitor, fix what surfaces in real usage, and can stay on for a defined period of improvements — but there is no automatic retainer, and stopping is not a negotiation.
Does Arcode build AI features specifically?
Yes — AI agents, MCP servers, RAG and knowledge systems, and LLM product features (copilots, estimators, structured-output tools) built against real tools and data, evaluated before they reach a customer. It sits alongside web, mobile, and backend work rather than replacing it.
Is Arcode remote, and where is it based?
Arcode is based in Abbottabad, Pakistan, and works remotely with clients worldwide — the studio's delivery model (written updates, a shared backlog, a weekly demo) is built for distributed teams from the start, not adapted after the fact.