AI Data Analyst in Paris
The best AI Data Analyst in Paris, 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.
Paris has become one of Europe's main centres for AI research and AI startups, alongside a large base of corporate headquarters in luxury, retail, banking, insurance and energy. Large French groups buy through formal procurement and expect suppliers to meet French and EU requirements on data protection and hosting. The startup scene around Station F moves faster but often sells to those same groups.
Finance and commercial teams in large Paris groups ask recurring questions of data spread across business units. A read-only analyst answers in plain English with the SQL visible, and can be scoped to the data each team is allowed to see.
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 EUR, 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
AI Development Company
Paris has a deep market for AI product work, and French buyers expect it to come with the CNIL-aligned documentation, hosting choices and works council preparation that local rules require.
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 Paris 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
GDPR applies with France's Loi Informatique et Libertés, and the CNIL has published detailed practical recommendations on applying GDPR to the development of AI systems, including when legitimate interest can justify training. Hosting health data requires a provider certified under the HDS scheme, and sensitive public-sector data is increasingly expected to sit on cloud services qualified by ANSSI under SecNumCloud. Banks and insurers are supervised by the ACPR and have applied DORA since January 2025. French courts have suspended AI deployments until the works council (CSE) was consulted under Article L2312-8 of the Labour Code. France's NIS2 transposition bill was still before Parliament at the time of writing. The EU AI Act has been in force since August 2024: general-purpose model rules applied from August 2025 and transparency duties from August 2026, while the 2026 Digital Omnibus moved the main high-risk obligations to December 2027 for stand-alone systems such as hiring or credit scoring, and August 2028 for AI built into regulated products.
Contracting and payment
You contract with an individual consultant based in India. Invoices in EUR 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 before access is granted.
Working hours
Four or more hours of daily overlap across your morning, Central European time, with same-day replies on working days.
Can you prepare documentation for a CSE consultation?
Yes, on the technical side. We describe what the AI tool does, what data it uses, what it logs and how people stay in control of its outputs. The consultation itself is run by you with your CSE, and we can adjust the deployment to what is agreed.
Do you work in French?
The work, code and documentation are in English. AI systems we build can handle French and other languages for your users, and the technical documentation is written clearly enough for your team to adapt for French-language stakeholders.
How do working hours line up with Paris?
Four or more hours of daily overlap across your morning, Central European time, with same-day replies on working days. The work is remote from India, so meetings happen on calls rather than in person.
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.