AI Data Analyst in Kolkata
The best AI Data Analyst in Kolkata, 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.
Kolkata is the commercial centre of eastern India, with IT services concentrated in Salt Lake Sector V and New Town, and a business community long rooted in banking, microfinance, tea, jute, FMCG distribution and trading. Many established firms here are family or promoter run and adopt technology cautiously, often through someone they already trust, while lenders and microfinance institutions face the same RBI scrutiny as any bank in Mumbai.
Distributors, traders and FMCG companies in Kolkata track stock, credit and collections across many outlets, often in spreadsheets and an accounting system. An analyst on a read-only copy of that data answers questions like overdue by distributor or stock by depot in plain English.
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
On-Premise LLM Deployment
Kolkata's lenders and microfinance institutions hold sensitive borrower data, often collected in regional languages, and sit under RBI outsourcing rules. Keeping a model inside their own environment is usually the only way an AI project gets past the risk committee.
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 Kolkata 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
Under the DPDP Act 2023 and the Digital Personal Data Protection Rules notified in November 2025, most obligations on data fiduciaries, including notice, consent, breach notification and data principal rights, are scheduled to take effect in May 2027, and the government has said it may shorten that window. For Kolkata's lenders, including microfinance institutions, the RBI Master Direction on Outsourcing of Information Technology Services and the 2023 Master Direction on IT governance, risk and controls set how a technology vendor may access and process borrower data, and digital lending is covered by the RBI's Digital Lending Directions. West Bengal promotes technology through projects such as the Bengal Silicon Valley Tech Hub and the fintech hub in New Town, which are infrastructure and incentive schemes rather than compliance rules.
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 an AI system work with documents in Bengali?
Yes, with care. Current open models handle Bengali text reasonably well for reading and summarising, but quality varies by task, so every project starts with a test set of your own documents and the results are measured before anything goes live.
Do you work with microfinance institutions and NBFCs?
Yes. Work is done under the institution's vendor and outsourcing process, with named, limited access, and where borrower data cannot leave its environment the model is deployed inside it, with every request logged for the institution's auditors.
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.