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AI data analyst

AI Data Analyst in Brisbane

The best AI Data Analyst in Brisbane, at the best available price.

$0 upfrontPay per accepted checkpointSenior engineer, no agency markup

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.

Brisbane is a growing capital with a strong base in government, health, resources and engineering services, and a startup community fed by UQ and QUT. Preparation for the 2032 Olympic and Paralympic Games has put large infrastructure and venue programs in motion, and many local buyers are mid-sized firms that want practical software from a small, accountable team.

Project and operations teams in Brisbane, from construction to health services, spend hours pulling reports from systems that already hold the answer. A read-only analyst answers those questions directly, with the query shown for checking.

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 AUD, payable by Wise or bank transfer.

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.

Brisbane, Queensland

Who builds here

Queensland Government and its agenciesHerston Health Precinct and health researchThe University of Queensland and QUTResources, energy and engineering services
Best fit in Brisbane

AI Product & MVP Development

Brisbane has a steady flow of founders and mid-sized firms with a clear idea and no in-house team, and a fixed-scope first version with weekly demos is the lowest-risk way for them to start.

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 Brisbane

What actually applies here.

Regulation and data

Private companies follow the federal Privacy Act 1988 and its 2024 amendments, including the statutory privacy tort and, from 10 December 2026, disclosure of significant automated decisions. Queensland's Information Privacy Act 2009 was overhauled from 1 July 2025: agencies now apply the Queensland Privacy Principles and a mandatory data breach notification scheme, with local councils joining the breach scheme from 1 July 2026. Agencies remain responsible for breaches of information they hold through a contractor, so expect privacy and breach clauses in any government services contract. Energy and other critical infrastructure assets fall under the federal Security of Critical Infrastructure Act 2018.

Contracting and payment

You contract with an individual consultant based in India. Invoices in AUD or USD, paid by Wise or bank transfer. Your accountant handles an overseas supplier in the usual way, and any documentation they need is provided up front.

Working hours

Three or more hours of daily overlap in your afternoon, Australian Eastern time, and work handed over at the end of your day so the next round is waiting in the morning.

Does daylight saving change the overlap with Brisbane?

No. Queensland and India both keep the same clocks all year, so Brisbane stays four and a half hours ahead. That gives three or more hours of overlap in your afternoon every day of the year, with no seasonal shuffle of meeting times.

Can you work on a Queensland Government project?

Yes, under the privacy and breach clauses in your agency's contract. Data stays in an Australian region of an account you control, access is named and logged, and documentation is written so your privacy officer can complete their assessment under the Queensland Privacy Principles.

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.