AI Data Analyst in Pune
The best AI Data Analyst in Pune, 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.
Pune combines two economies that buy software differently: a large IT services and product engineering base in Hinjewadi, Kharadi and Magarpatta, and one of India's main automotive and engineering manufacturing belts around Chakan and Pimpri-Chinchwad. Manufacturers here tend to be cautious buyers who want proof on their own plant data, while the technology companies expect engineering peers who fit into their sprints.
In Pune the analyst usually sits on a read-only copy of ERP, MES or quality data, answering questions such as which line had the most rejections last week or which suppliers are running late. Plant and supply chain managers get answers in plain English, with the SQL shown so the IT team can verify it.
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 INR, with GST as applicable.
Request a callback
You speak to the engineer who does the work. No sales rep, no deck.
Who builds here
AI Data Analyst
Pune's manufacturers and the engineering teams around them sit on production, quality and supply data that few people can query. A read-only analyst over that data is a contained first project with a visible result, and it needs no change to plant systems.
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 Pune 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
The DPDP Act 2023 covers employee and customer personal data alike, which matters for the HR, payroll and dealer systems many Pune companies run, and its Rules phase in through 2027 after notification in November 2025. Maharashtra's IT and ITeS Policy, 2023 lets IT parks be set up across the state and offers support for AI and emerging technology units, and the state's GCC Policy 2025, approved in September 2025, adds incentives for global capability centres. Automotive suppliers to global carmakers are often bound by customer information security requirements such as TISAX, which govern how design and plant data can be shared with outside engineers.
Contracting and payment
Simple domestic contracting. Invoices in INR with GST as applicable, under a standard services agreement. No cross-border payment friction, no forex conversion cost, and no time spent on paperwork for an overseas supplier.
Working hours
Same time zone. I work from India on IST, so calls, reviews and replies all happen inside your normal working day.
Can the AI analyst work with our ERP data?
Usually, through a read-only replica or a reporting database fed from the ERP, so the live system is never touched. We map the tables that matter, test the analyst against questions your team already answers by hand, and only then hand it over.
Our customer requires TISAX or similar controls. Can you work within them?
Yes, as far as an outside engineer can: named access, work only inside systems you control, no data copied to personal devices, and documented handover. Your assessment status remains your own, and we follow whatever controls your information security team sets.
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.