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AI data analyst

AI Data Analyst in Jaipur

The best AI Data Analyst in Jaipur, 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.

Jaipur's economy rests on gems and jewellery, handicrafts and textiles exports, tourism and hospitality, with a growing IT and startup layer at Mahindra World City, Sitapura and around the state's iStart programme. Many businesses here sell to customers abroad or to travellers, so they care about online storefronts, bookings and customer communication, and owners usually want a working product they can see before committing further.

Exporters and jewellers track stock, karigar work orders, buyer orders and receivables across an ERP and spreadsheets. An analyst on a read-only copy answers questions like pending orders by buyer or stock by category in plain English, with the query shown.

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 INR, with GST as applicable.

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.

Jaipur, Rajasthan

Who builds here

Gems and jewellery manufacturing and exportTourism, heritage hotels and travel operatorsMahindra World City Jaipur and the Sitapura industrial areaiStart Rajasthan and MNIT Jaipur
Best fit in Jaipur

AI Product & MVP Development

Jaipur's exporters, jewellers and travel businesses often need a product of their own, such as a B2B catalogue, a booking platform or an order tracking tool, and they prefer to see a working version early. A fixed-scope build with weekly demos suits that way of buying.

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 Jaipur

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. Jewellers face sector rules that shape their systems: BIS hallmarking with a unique HUID on each hallmarked item, and since 2020 dealers in precious metals and stones above set cash thresholds are reporting entities under the Prevention of Money Laundering Act, 2002, with record keeping duties. Rajasthan launched its AI and Machine Learning Policy 2026 in January 2026, focused on AI in government services and skills; it creates opportunities for vendors rather than obligations for private firms, and its detailed rules are still being worked out.

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 you build a B2B ordering portal for overseas jewellery buyers?

Yes. Typical scope is a private catalogue with buyer accounts, price lists by buyer, order and production status, and invoices. Hallmarking and HUID details can be recorded against each item where that matters to your buyers.

Does the Rajasthan AI and Machine Learning Policy 2026 affect private businesses?

It mainly covers AI in government services, skills and pilots, so it does not place new obligations on private firms. Data protection for private companies comes from the national DPDP Act and its Rules, which are being phased in.

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.