AI Data Analyst in Canberra
The best AI Data Analyst in Canberra, at the best available price.
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.
Canberra's market is the federal government and the companies that serve it: departments, Defence, national security agencies and a dense layer of consultancies, integrators and cyber security firms. Software is bought through Commonwealth procurement panels and contracts, and security, data sovereignty and accountability for AI use shape every requirement.
Policy and program teams spend a lot of time asking analysts for the same cuts of data. A read-only analyst over an approved dataset answers in plain English with its SQL shown, which fits the transparency the AI policy asks for.
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
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.
Who builds here
On-Premise LLM Deployment
Government buyers and their suppliers in Canberra commonly need AI that runs entirely onshore in infrastructure they control and can assess, which is precisely what a private deployment provides.
How many free signups from June converted to paid, by week?
customersplan tier is a column here, not a separate status table
subscriptionsone row per plan change, so take the first paid one
AQIAaPr2xQAAAACqL3d1ZwSELECT 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| Week | Converted |
|---|---|
| 2026-06-01 | 214 |
| 2026-06-08 | 188 |
| 2026-06-15 | 243 |
| 2026-06-22 | 201 |
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.
What Canberra companies build with us
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.
Three stages, nothing hidden.
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.
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.
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.
What actually applies here.
Regulation and data
Commonwealth agencies work under the Protective Security Policy Framework, the Information Security Manual and the Commonwealth Procurement Rules, and cloud services handling sensitive government data are commonly expected to have an IRAP assessment, which the major cloud providers publish for their Australian regions. The Digital Transformation Agency's policy for responsible use of AI in government, version 2.0 from 15 December 2025, requires non-corporate Commonwealth entities to publish AI transparency statements and assess AI use cases before deployment. ACT Government agencies and their contractors follow the Information Privacy Act 2014, and companies follow the federal Privacy Act 1988 with its 2024 amendments.
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.
Are you IRAP assessed or security cleared?
No. Australian Government security clearances generally require Australian citizenship, and IRAP is an assessment of systems such as cloud services. The usual pattern is to deploy into your own assessed cloud tenancy, with your cleared staff holding production access while I build and document the code and infrastructure.
Can you support an agency's obligations under the AI in government policy?
Yes, on the engineering side. Each system comes with a description of what the model does, the data it uses, how it was evaluated and where humans review its output. That material feeds your transparency statement and use case impact assessment, which remain your agency's to own.
What hours suit Canberra teams?
Three or more hours of daily overlap in your afternoon, Canberra time. Calls sit after lunch, and work handed over at the end of your day is usually waiting the next morning.
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.
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.