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AI development

AI Development Company in Qatar

Most of what gets sold here as AI development is a team of five with one person who has shipped, and a bill that reflects the other four. This is the opposite arrangement: the engineer who scopes it is the engineer who builds it, the price is fixed before anything starts, and you pay nothing until a checkpoint is delivered and you accept it.

Qatar is small, wealthy and concentrated, with sovereign-backed programmes driving most of the significant technology spend and a great deal of it routed through established integrators. As with the rest of the Gulf, search volume for specific engineering services is close to nothing. What this page does is give a procurement team something concrete to read about how the work is structured and paid for.

What you get

  • One senior engineer end to end: the person on your first call architects it, writes it and hands it over
  • LLM features, retrieval over your own documents, agents that call real tools, and voice where it earns its place
  • Deployed in your own cloud account in a regional data centre, or on your own hardware where residency demands it
  • Fixed price and fixed scope agreed in writing before work starts, invoiced per accepted checkpoint
  • Code and infrastructure in your repository and your accounts, written to make us replaceable on purpose
Working builds from $1,000. Full production systems from $12,000.

Nothing payable upfront. You hold every dollar until a checkpoint is delivered and accepted, and thirty days of defect correction is included. Final scope and price are settled on a call before any work begins.

Invoiced in USD or QAR, payable by bank transfer. Qatar has no VAT.

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You speak to the engineer who does the work. No sales rep, no deck.

No spam and no sales team. You talk directly to Neeraj.

Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.
One orchestrator runs the flow, and every tool call goes through the same MCP harness, so permissions, retries and logs live in one place.
How you pay

Get it built at $0.

That is not a discount. It is when you pay. The work is split into checkpoints with acceptance criteria written down before anything starts, and each checkpoint is invoiced only after you have seen it and accepted it. No deposit.

$0 to start
You hold every dollar until a checkpoint is delivered and you accept it. No approval, no invoice.
Fixed cost, unlimited features
Or hire the team outright: one fixed monthly cost, unlimited feature development, any stack.
The engineer takes your call
The person on your first call is the one who architects and writes it. No account managers, no bench time.

A US agency quotes $50,000 to $150,000 for the same build and asks for 40 to 50% of it before a line is written. Account managers, project managers, sales commission and bench time. None of it appears in your product.

How it works

Three stages, nothing hidden.

01

Twenty-minute call

You talk to the engineer who will build it. We scope the problem, and if this is the wrong fit for you, you get told so on that call rather than three weeks into a proposal.

02

Fixed proposal in 48 hours

Fixed price, fixed timeline, defined deliverables, in writing. No hourly billing, no open-ended scope, and no change-request business model.

03

Checkpoints until it ships

Working software at each checkpoint, with acceptance criteria agreed before that checkpoint starts and an invoice only after you accept it. Direct access throughout, not a ticket queue.

Working in Qatar

What actually applies here.

Regulation and data

Law No. 13 of 2016 on Personal Data Privacy Protection was the first of its kind in the Gulf and still sets the baseline onshore. Entities inside the Qatar Financial Centre operate under the QFC's separate data protection regulations, with their own transfer conditions. Either way, a deployment where the model runs inside your infrastructure and the data never leaves it answers the question rather than requiring a legal argument about adequacy.

Contracting and payment

You contract with an individual consultant based in India, invoiced in USD or QAR. No VAT applies and no local entity is required on our side. For work inside the Qatar Financial Centre, contracting and data handling follow the QFC's own regime, which your counsel will already be familiar with.

Working hours

Two and a half hours behind Delhi, with Monday to Thursday overlapping in full against a Sunday to Thursday week.

Does the QFC regime change how this works?

It changes the paperwork, not the architecture. QFC entities operate under their own data protection regulations with their own transfer conditions, and a private deployment where data never leaves your infrastructure satisfies both that regime and the onshore law.

Can you work with our existing integrator?

Yes, and in Qatar that is often the practical route. We work as a specialist subcontractor on the AI and data layer while your integrator holds the prime contract and the local relationship.

What does payment look like?

Bank transfer in USD or QAR against a standard services agreement, with no VAT to account for and no local entity required on our side.

Why would we use an overseas engineer rather than a local integrator?

Often you should use both. An integrator holding the prime contract and the local relationship, with a specialist doing the AI and data layer underneath, is a common and sensible structure here. What you should not do is pay integrator rates for engineering that one person is actually doing.

Can the system run entirely inside our own infrastructure?

Yes, and in this region that is frequently the requirement rather than the preference. Model serving on your own hardware or in your own cloud account in a regional data centre, with no outbound calls, up to fully air-gapped.

Who owns the code?

You do, entirely. It ships into your repository on your own cloud accounts, documented so your team or your next hire can carry it without us, and all our access is removed at handover with written confirmation.

Full detail

AI Product Development

LLM apps, agents, RAG and MCP tooling, architected by the builder of AccioMatrix.