/ 01 — BI, redrawn

Ask Azul.

Like a coworker.

Azul is an agentic analyst that queries your databases, your business tools, your documents and your files — then cross-references, synthesizes, and reads the answer in light of your KPIs.

MRR · last 8 months € 184 200
+38.4% trend
ai_views.subscriptions · refreshed 2 min ago
v0.1 · Private beta askazul.fr Available Q2 2026
/ Your entire data estate
Your databases / 9
Your tools / 10
Your files / 6
/ 02 — Three moves

Connect, ask, read.

/01

Plug in your sources.

Databases, SaaS tools, business documents, spreadsheets. Azul reads your schema, your glossary, your vocabulary — and learns what matters to you.

/02

Ask the question.

The agent breaks it down, queries multiple sources, cross-references, loops if needed. You follow its reasoning at every step.

/03

Read it against your KPIs.

Azul doesn't just return a number. It comments, contextualizes, compares to your targets. Pin, share, replay.

/ 03 — In action

One question. One answer. Not three days of waiting.

Ask a question. Azul queries your databases, cross-references your documents, calls your business tools — loops if needed, draws the charts that answer, and reads them in light of your KPIs.

azul · agentic loop 3.4s · 5 tools · 6 rows · 1 KPI
$ MRR by acquisition cohort vs Q1 OKR
agent trace 5 étapes · multi-source
  1. azul.plan break down into 3 sub-questions
  2. azul.query postgres → public.subscriptions
  3. azul.fetch salesforce → opportunities (closed_won, 6mo)
  4. azul.read docs/kpi-glossary.md § "MRR by cohort"
  5. azul.synthesize cross-reference + read vs Q1 OKR
generated query
WITH cohort AS (
  SELECT date_trunc('month', s.start_at) AS m,
         SUM(s.mrr_cents) / 100              AS mrr
  FROM   subscriptions s
  WHERE  s.start_at >= now() - interval '6 months'
  GROUP  BY 1
)
SELECT m, mrr, mrr / nullif(target, 0) AS vs_okr
FROM   cohort JOIN okr_q1 USING (m);
RENDERED · BARS MRR / cohort · €
€28k
Jan
€42k
Feb
€53k
Mar
€68k
Apr
€84k
May
€98k
Jun
Illustrative demo · data, queries and tool calls are mocked.
/ 04 — Who it's for

For teams traditional BI has let down.

If you have ever waited three days for a chart, asked the analyst a favor for a small question, or dropped a question because the answer crossed too many tools — you are in the right place.

No proprietary DSL. No rewriting the warehouse. Just an analyst that speaks to all your data — the kind that sleeps in your databases, your tools, your documents.

  • /01 Founders who want to dig into their own numbers without interrupting the data team.
  • /02 Product teams who need answers now, not a ticket in the BI backlog.
  • /03 Analysts who want to automate the 80% of repeat questions and free up time for the real work.
  • /04 Finance leads who want a clear audit trail on every number — Azul always shows its sources.
/ 05 — Guarantees
Four commitments, not promises.

Before plugging AI into your data, here's what you can count on.

/01

Read-only, at the source

Azul connects to your systems with read-only credentials. The ability to modify isn't disabled — it doesn't exist.

/02

Your data never trains a model

No customer data — schemas, queries, answers — is ever used to train or improve any model, ours or a third party's.

/03

Hosted in Europe, or on your servers

EU infrastructure by default. On-premise deployment available — Azul runs in your VPC, your data never leaves it.

/04

Every answer is traceable

Every query, every API call, every document consulted is logged alongside the agent's reasoning. Any past answer can be reopened and its sources verified.

/ 06

See Azul on your own data.

Thirty minutes on a call. Bring a schema, an API, a document — we plug in, we ask questions together.