Request a callbackBook a call
AI data analyst

AI Data Analyst in the UAE

Your team asks in English. The service finds the tables, writes the SQL, runs it against a read-only replica inside your own cloud, and returns the number with the query attached. It cannot touch a table whose schema it has not just read, and that is enforced in code rather than requested in a prompt. Starts at $0: you pay at checkpoints you accept.

The UAE searches for a company, not for a service. Volume on terms like software development company and AI development company is real here; volume on specific technical services is close to zero, which tells you how the buying actually happens. Work is won through introductions, free-zone networks and procurement shortlists rather than through search. A page like this exists so that when somebody does look you up after a meeting, there is something specific to read.

What you get

  • Deployed in your own cloud account against a read-only replica you create, so we never hold a credential to your database
  • A signed schema check the model cannot skip: no SQL runs against a table it has not just inspected, and the tokens expire in fifteen minutes
  • A grant list your data owner approves, naming the exact tables and columns the analyst may read, with everything else refused at the database
  • Exposed inside Claude or ChatGPT in your organisation's workspace, behind your existing Google sign in, so nobody learns a new interface
  • Every question logged with the SQL it ran, the tables it touched and whether it errored, which is what an auditor actually asks for
  • Runs on a private LLM on your own hardware where data security demands it, up to fully air-gapped, so nothing at all crosses your perimeter
Builds from $6,000. Assessment fixed fee, credited in full.

No payment before a checkpoint is delivered and accepted. Most builds land between $6,000 and $18,000 depending on how many databases are in scope and how much of the schema the first domain covers. Optional upkeep from $1,200 a month, and only if you want it.

Invoiced in USD or AED, payable by bank transfer or Wise.

Request a callback

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.

Try a question
1Question

How many free signups from June converted to paid, by week?

2Schema read
customers

plan tier is a column here, not a separate status table

subscriptions

one row per plan change, so take the first paid one

Schema proof issued, expires in 15 min
AQIAaPr2xQAAAACqL3d1Zw
3Verified SQL
SELECT DATE_TRUNC('week', s."startedAt")
         AS "Week",
       COUNT(DISTINCT c.id) AS "Converted"
FROM   customers c
JOIN   subscriptions s
         ON s."customerId" = c.id
WHERE  c.plan = 'free'
  AND  s.plan = 'paid'
  AND  c."createdAt" >= DATE '2026-06-01'
  AND  c."createdAt" <  DATE '2026-07-01'
GROUP  BY 1 ORDER BY 1
WeekConverted
2026-06-01214
2026-06-08188
2026-06-15243
2026-06-22201

Stage three refuses to run unless it is handed a valid token from stage two for a table in the query. The model cannot skip the schema read, because the check is a signature in code rather than an instruction in a prompt.

Architecture diagram of an AI data analyst that can only read: a question asked in Claude or ChatGPT goes to an MCP server running in your cloud, through a semantic layer of your metrics and definitions, into generated SQL, then a validation step that enforces read-only access, row limits and cited numbers, before it reaches a read-only replica. The answer returns with the numbers cited, and a write is refused by the database itself.
Every answer comes from a read-only replica through a validated query, with the numbers cited.
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

Fixed-fee assessment

Five business days from the day read-only access is in place. Schema inventoried, the questions your team actually asks classified as answerable or not, the grant list drafted with whoever owns data protection, and acceptance criteria written as testable statements.

02

Build in checkpoints

About three weeks. Deployed in your cloud account, connected to your replica and to your assistant workspace, with the semantic layer written for the first domain. Each checkpoint has criteria agreed before work starts and is invoiced only once you accept it.

03

Handover and closeout

A real question from your team, answered end to end, with the SQL shown and the numbers reconciled against the source rows. Runbook, recorded handoff, code and semantic layer in your repository, and all our access removed with written confirmation.

Working in the UAE

What actually applies here.

Regulation and data

Three regimes can apply and which one matters depends on where you are registered. Onshore, Federal Decree-Law No. 45 of 2021 on Personal Data Protection governs how personal data is processed and transferred. Inside the DIFC and the ADGM, each free zone runs its own data protection law with its own transfer rules, and financial firms there are used to being asked exactly where processing happens. In all three cases the practical answer is the same: a deployment inside infrastructure you control, with the model never calling out, removes the question instead of arguing it.

Contracting and payment

You contract with an individual consultant based in India, so no UAE entity, trade licence or local sponsor is involved on our side. Invoices are issued in USD or AED. Your own VAT position at five percent and corporate tax at nine percent are handled by your finance team as they would for any overseas supplier, and whatever documentation they need is provided before work starts.

Working hours

Ninety minutes behind Delhi, so the working day is effectively shared. Calls at any hour that suits you, and same-day replies Monday to Friday.

Do you have a UAE entity or trade licence?

No, and you do not need us to. You contract with an individual consultant based in India, invoiced in USD or AED. Your finance team treats it as any other overseas supplier, and any documentation they need is provided before work starts.

Can the whole system stay inside the UAE?

Yes. The deployment runs in your own cloud account in a UAE region, or on your own hardware, with the model served privately and no outbound calls. That is usually what a DIFC or ADGM firm needs in order to get an internal approval at all.

How does the working week line up?

Well. India and the UAE both work Monday to Friday, and Delhi is ninety minutes ahead of Dubai, so you get a full shared working day rather than a handover window.

We already have a BI tool. Does this replace it?

No, and it should not. Your dashboards answer the questions somebody anticipated, and they will keep doing that. This answers the ones nobody built a chart for, which is where the waiting happens. Teams that keep both end up using the dashboards for the standing numbers and the analyst for everything else.

How long before somebody can ask a real question?

Usually inside the first week of the build, on a narrow slice of the schema. The first domain being useful early is the point of doing it in checkpoints: you see it working on your own data before most of the money is committed.

What if our schema is a mess?

Most are, and it changes the shape of the work rather than ruling it out. Undocumented columns, legacy tables nobody dares delete and two spellings of the same idea are normal. The assessment tells you plainly how much of that has to be untangled first, and if the answer is that you need a data cleanup before an analyst is worth building, you will be told that instead of sold this.

Full detail

AI Data Analyst

An AI data analyst on your own read-only replica. Natural language to SQL that cannot query a table it has not read.