Question 1

What does MergeMain build?

Accepted Answer

We build production AI systems, web and mobile applications, and SaaS products. Our current work is concentrated in AI agents and automation — multi-agent pipelines, RAG systems, LLM integrations and workflow automation — alongside the web and mobile engineering that surrounds them. You can see six live products in our portfolio, every one of them a URL you can open.

Question 2

Do you build AI agents, or just chatbot integrations?

Accepted Answer

We build multi-agent systems that run unattended in production. GrowHack AI is a nine-agent pipeline where each agent hands a structured artifact to the next — research, outlining, writing, image strategy and generation, on-page SEO, LLM optimisation, editing and publishing — and it runs without a human in the loop. That is a different engineering problem from wiring a chat endpoint into an app, and it is the problem we specialise in.

Question 3

What does an AI agent project cost?

Accepted Answer

A scoped agent or automation build typically starts in the low five figures, and a full multi-agent system with evaluation and observability runs higher depending on how many systems it has to touch. The honest answer is that cost is driven by integration surface rather than by the AI: the model calls are the cheap part, and the expensive part is every system the agent has to read from and write to safely. We give a fixed number after a scoping conversation.

Question 4

How long does a project take?

Accepted Answer

A focused build is typically 4-8 weeks and a full product 3-6 months. Timelines scale with integration surface more than with feature count. You get an estimate during scoping and working software you can use every week rather than a status report.

Question 5

What is an MCP server, and do we need one?

Accepted Answer

An MCP server exposes your internal systems to AI assistants through the Model Context Protocol, so a model can query your data and trigger your actions through a defined interface instead of a bespoke integration per tool. You need one if you want AI assistants working against your own systems rather than against public data. It is one of the highest-leverage things a company with good internal data can build right now.

Question 6

Do you work with n8n, or do you build custom automation?

Accepted Answer

Both, and we will tell you which one you actually need. n8n is the right answer when your team should be able to maintain the workflow themselves; a custom service or Temporal workflow is the right answer when the work absolutely cannot be lost or when the logic outgrows what a node graph can express cleanly. We would rather set up an n8n instance you own than bill you for a custom build you did not need.

Question 7

Can you work with our existing team and codebase?

Accepted Answer

Yes — most of our work is inside an existing codebase rather than greenfield. We integrate as additional engineers, as a specialist squad for a specific capability, or as a complete team, and we adapt to your workflow, review process and tooling rather than asking you to adopt ours.

Question 8

How do you handle code quality?

Accepted Answer

Code review on every change, automated tests on the paths that cost money when they break, and CI that blocks a merge when either fails. For AI systems specifically we build the evaluation set before the agent, because without it there is no way to tell whether a prompt change made things better or worse.

Question 9

Who owns the code and the IP?

Accepted Answer

You do, in full — including prompts, evaluation sets and infrastructure definitions. We hand over the repository, the runbook and the documentation at the end of every engagement. We are happy to sign an NDA before the first conversation.

Question 10

Where is the team based?

Accepted Answer

Our engineering team is based in Pakistan and we work primarily with clients in the US, UK and EU. We hold overlapping hours with US and European time zones, and all work, documentation and communication is in English.

Question 11

How do we start?

Accepted Answer

Email founders@mergemain.com or use the contact form, and we will set up a scoping call. Come with the problem rather than a specification — the most useful first conversation is usually about what is actually broken, not about which technology to use.

Merge bold ideasinto softwarethat ships.

Everything it takes to ship.

AI Agents & Machine Learning

Workflow Automation & Integrations

Web Application Development

SaaS Product Development

Mobile App Development

Custom Software Development

DevOps & Cloud Engineering

UI/UX Design

QA & Test Automation

The tools we reach for.

AI & agents

RAG & vector

Models & inference

Automation & eval

Web & mobile

Cloud & delivery

From idea to main, in six commits.

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Design

Development

Testing

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Support

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