Arcode · AI Product Studio

Arcode is a web, app,and AI product studiothat ships.

We design and ship websites, mobile apps, AI automations, MCP servers, and scalable software products for startups and growing teams.

See how we build
AI agentsMCP serversMobile appsWeb platformsRAG systemsScale architectureAI agentsMCP serversMobile appsWeb platformsRAG systemsScale architectureAI agentsMCP serversMobile appsWeb platformsRAG systemsScale architecture

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Products shipped

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Organizations served

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How we build

Four disciplines, one delivery team

Every engagement is a mix of these. Pick one to see what we actually ship — and what it does for your business.

iOS + Android, one codebase

Apps that earn a place on the home screen

We design and ship cross-platform mobile products with React Native and Expo, from onboarding and offline sync to push, payments, and store submission. One codebase, two stores, no compromise on feel.

  • Native-feeling motion, gestures, and 60fps lists
  • Offline-first sync, background jobs, and push notifications
  • Auth, payments, and analytics wired in from day one
  • App Store and Play Store submission handled end to end

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Stores, one codebase

6-10

Weeks to launch

React NativeExpoTypeScriptFirebaseRevenueCat
Mobile apps01 / 04
Services

What we build

End-to-end product engineering, from AI systems and MCP servers to websites, mobile apps, and platforms built to scale.

01

AI Agents & MCP Servers

Production AI agents, Model Context Protocol servers, tool-calling workflows, and Cursor/Claude-ready integrations that connect models to real systems.

Build

Custom AI agents, MCP servers, and tool-calling workflows.

Outcome

Connect AI to your real tools, data, and business operations.

02

RAG & Knowledge Systems

Retrieval-augmented generation, embeddings, vector search, document pipelines, and grounded chat over your company knowledge.

Build

Document pipelines, vector search, and knowledge chat systems.

Outcome

Let teams ask questions over company docs with grounded answers.

03

LLM Product Features

OpenAI and Anthropic Claude integrations, prompt systems, estimators, copilots, and AI UX embedded into SaaS products.

Build

AI copilots, estimators, chat flows, and structured-output features.

Outcome

Add AI features users can actually understand and use.

04

AI Automation & Workflows

Agentic pipelines, Make/Zapier orchestration, structured outputs, and business process automation powered by LLMs.

Build

Automated workflows across apps, APIs, forms, and internal tools.

Outcome

Reduce repetitive work and move business processes faster.

05

Web & SaaS Engineering

High-performance React/Next.js products, dashboards, and conversion-focused interfaces with TypeScript and modern UI systems.

Build

Modern websites, dashboards, SaaS products, and landing pages.

Outcome

Launch fast, polished software that looks professional and converts.

06

Full-Stack Platforms

NestJS/Node APIs, dual-database architectures, auth, payments, realtime, HIPAA-aware patterns, and cloud delivery.

Build

APIs, databases, auth, payments, realtime features, and cloud setup.

Outcome

Build scalable products from backend architecture to frontend UX.

Selected work

Proof of delivery across products and platforms

Case studies from healthcare, hiring, growth, sports, AI, and mobile, all engineered end to end by the Arcode studio.

Process

A clear path from brief to launch

The same delivery rhythm for websites, apps, AI automations, MCP servers, and scalable software products.

  1. Discover

    Goals, constraints, data sources, and success metrics, all settled before we touch architecture or prompts.

    Workshops, audits, and a written scope you actually sign off on.

    You get

    • Technical audit
    • Written scope
    • Success metrics
    • Timeline & estimate
  2. Design

    System design, AI/tool boundaries, interface direction, and interaction prototypes.

    Architecture diagrams, tool boundaries, and clickable interface direction.

    You get

    • Architecture diagram
    • Interface direction
    • Clickable prototype
    • Stack decisions locked
  3. Build

    Modern stack, clean architecture, evaluated AI behavior, and iterative demos you can react to.

    Two-week cycles with a working demo at the end of every one.

    You get

    • Two-week sprints
    • Demo every cycle
    • Code review & tests
    • Staging environment
  4. Launch

    Ship, monitor, harden, and keep improving models, tools, and product after go-live.

    Deploy, monitor, harden, and keep improving after go-live.

    You get

    • Production deploy
    • Monitoring & alerts
    • Handover docs
    • Iteration plan
Capabilities

AI-first stack with production engineering depth

Agents, MCP, RAG, and LLM product features, backed by React, NestJS, mobile, headless CMS, and the cloud systems behind enterprise software.

OpenAIClaude APIMCP ServersAI AgentsRAG PipelinesLangChainNext.jsReactTypeScriptReact NativeExpoVueNuxtSvelteSvelteKitAstroNestJSNode.jsGraphQLPostgreSQLOpenAIClaude APIMCP ServersAI AgentsRAG PipelinesLangChainNext.jsReactTypeScriptReact NativeExpoVueNuxtSvelteSvelteKitAstroNestJSNode.jsGraphQLPostgreSQL
MongoDBRedisPrismaSupabaseFirebaseStrapiContentfulSanityHygraphHeadless CMSGitHubGitLabCI/CDDockerAWSVercelStripeThree.jsGSAPTailwind CSSMongoDBRedisPrismaSupabaseFirebaseStrapiContentfulSanityHygraphHeadless CMSGitHubGitLabCI/CDDockerAWSVercelStripeThree.jsGSAPTailwind CSS

AI Engineering

10
OpenAIAnthropic ClaudeMCP ServersAI AgentsLangChainRAG PipelinesEmbeddings & Vector SearchPrompt SystemsCursor AgentsGemini API

Frontend & Mobile

17
ReactNext.jsTypeScriptReact NativeExpoFlutterVueNuxtSvelteSvelteKitAstroGatsbyTailwind CSSFramer MotionGSAPThree.jsshadcn/ui

Backend & Data

15
Node.jsNestJSExpressGraphQLREST APIstRPCPostgreSQLMongoDBRedisPrismaSupabaseFirebaseSocket.ioStripeAssemblyAI

CMS, DevOps & Cloud

15
StrapiContentfulSanityHygraphHeadless CMSGitHubGitLabCI/CDGitHub ActionsDockerAWSVercelCloudflareMedusa.jsResend
Studio

Arcode, a product studio for AI and full-stack software

A focused studio shipping production systems for startups, businesses, and teams that need reliable engineering from idea to launch.

One team, end to end

Discovery, architecture, interface, build, and launch handled by the same people. No handoffs, no agency telephone game.

Production, not prototypes

Compliance-aware architecture, realtime systems, payments, and cloud delivery — the parts that decide whether software survives contact with real users.

AI where it earns its place

Agents, MCP servers, and RAG built against real tools and real data, evaluated before they ever reach a customer.

Arsalan Ali Khattak

Led by Arsalan Ali Khattak

Founder & lead engineer · Remote · Worldwide

How we engage

Fixed-scope build

6-12 weeks

A defined product or platform, scoped and priced up front, delivered in two-week cycles with a working demo at the end of each one.

Best for: Launching a new product, replacing a system, or shipping a first version.

Embedded engineering

Monthly

We join your team as the product engineering function — architecture, delivery, and review — without the ramp-up of hiring in-house.

Best for: Teams with a roadmap and no bandwidth to build it.

AI feature sprint

2-4 weeks

A focused build of one agent, MCP server, or RAG feature, wired to your real tools and evaluated before it reaches a customer.

Best for: Adding AI to an existing product without betting the roadmap on it.

FAQ

Answers before you ask

The questions that come up on a first call, answered here so you don't have to book one just to find out.

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.

Taking new projects

Ready to build something worth shipping?

Book a free 30-minute call. Bring a product brief, an AI feature idea, or a role that needs engineering ownership, and we will map out the next step together.

to.arsalanali@gmail.com
  • Free 30-minute call
  • Reply within one business day
  • No obligation