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Ask the question.Your data answers.

Conversational AI for data: ask your databases questions in plain language and get figures, charts, dashboards and reports.

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Watch a presentation
  • Read-only, enforced by the architecture
  • Application and AI model hosted in Europe
  • No retention of your data by the model
  • A French company
Fictional data

Azul in 90 seconds.

A question asked in French, a chart in return, then the dashboard, the business context and the safeguards.

The data shown in the video is fictional. Narration in French.

Traditional BI answers the questions it has already been asked.

As soon as a question falls outside the planned dashboard, it goes back into the queue.

  • Every question goes through IT

    A new analysis means a ticket, a prioritisation, then a development.

  • Frozen dashboards

    They answer the questions planned when they were built, not today’s.

  • Scarce expertise

    SQL, data model, reporting tool: few people know how to fetch the figure.

  • Under-used data

    By the time the answer arrives, the decision has often been made. The rest of the data sleeps.

Todaydays, often weeks

  1. Business questionBusinessqueue
  2. IT ticketITprioritisation
  3. SpecificationBusiness and ITback and forth
  4. DevelopmentData teamacceptance
  5. DashboardBusiness

With Azulthe length of a conversation

  1. Business questionBusiness
  2. Intermediate steps skipped
  3. Answer with figuresAzul, live€3.2M+8.4%Revenue, 6 months

How it works

From question to chart, every query is checked.

  1. 1

    You ask the question

    In your own words. No SQL, no data model to learn.

  2. 2

    The agent writes the query

    From your schema and your business context: your tables, your definitions, your rules.

  3. 3

    Azul checks it, then runs it

    Read-only, within the scope you chose, without weighing on your production. A query outside that frame is refused.

  4. 4

    You get the answer, and dig deeper

    Figures, chart, commentary. The next question keeps the thread of the conversation.

The product in detail

What makes the difference

Before it answers, Azul learns your business.

An agent that ignores your definitions gives plausible answers, and wrong ones. Azul builds that context with you, once and for all, then uses it in every answer.

  1. 1

    It reads your documents

    Procedures, glossaries, business notes in PDF, scanned documents included.

  2. 2

    It explores your schema

    Tables, columns, relations, real values: it infers everything that can be inferred.

  3. 3

    It asks you the right questions

    Only what it cannot guess, as multiple choice or free text.

How Azul learns your business

Let’s refine what Azul knows

Azul will ask a few targeted questions about your data. Answer, skip, or annotate your columns alongside.

Column annotated: contracts.termination_date

Azul

In the contracts table, 3% of rows have the status “suspended”. Should a suspended contract count towards recurring revenue?

Pick the closest answer, or switch to a free answer.
Type a free answer instead

Try it: pick an answer, then send.

Go further.

Next step: a pilot on your data.

The most telling thing is to watch Azul answer your own questions.

Try for freeBook a demo

Or write to us at hello@askazul.fr

  1. 1

    Choose a use case

    A business question that matters, and has no quick answer today.

  2. 2

    Prepare the data

    Read-only access to the database concerned, or a file export.

  3. 3

    Test Azul

    Your teams ask their questions, on their data, supported end to end.