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Ask your company data anything.

Atlas is an AI data analyst for the enterprise. It reads your question in plain English, writes the SQL, runs it read-only against your database, and returns the numbers, the chart, and anything that looks wrong.

The bottleneck was never the data.

It is the queue in front of it. Questions go to an analyst, answers come back days later, and most decisions get made before either arrives.

1.8 hrs

The average knowledge worker spends 1.8 hours of every working day just searching for and gathering information.

Source: McKinsey Global Institute

Atlas answers in about the time it takes to type the question.

Same question, same schema, no ticket in between.

MedGAN AI

$12.9M

Poor data quality costs the average organization $12.9 million a year, most of it in decisions taken on numbers nobody checked.

Source: Gartner

Every answer ships with the SQL that produced it.

So a finance or data team can verify the number instead of trusting it. Read-only by design, on every connected source.

Six safety layers, every query

Natural language Q&A

Ask in plain English. Atlas writes the SQL.

There is no query builder to learn and no schema to memorise. Atlas resolves your question against the tables you are permitted to see, runs it, and streams the answer back as it forms: a written explanation, the chart that supports it, and any risk it noticed on the way.

  • Answers stream token by token, so you see the reasoning form
  • Charts are generated from the result set, not pre-canned
  • Save any question and re-run it against fresh data later
Atlas
Show budget overruns by department
Four departments are running over budget this quarter. Facilities is worst at 42% over, driven by three unplanned HVAC contracts.

Critical: Procurement spend 42% over budget

Safety

Six layers stand between the model and your database.

Letting a language model near production data is only reasonable if it cannot do anything you have not allowed. Atlas enforces that in six independent layers, on every query, with no way to opt out.

  • A read-only database login, so nothing Atlas runs can write, drop, or alter.
  • SELECT-only parsing that rejects any statement which is not a plain read.
  • Query timeouts that cancel long-running work before it touches production load.
  • Automatic row limits on every result set, applied whether or not you ask for them.
  • Table and column allowlists, so unlisted schema is invisible to the model.
  • Role-based row filters applied to the generated SQL before it is ever executed.
Generated query
SELECT department,
       SUM(actual) - SUM(budget) AS variance
FROM   finance.budget_lines
WHERE  fiscal_quarter = 'Q3'
GROUP  BY department
ORDER  BY variance DESC
LIMIT  500;
Read-only connection
SELECT-only parse
Timeout 30s
Row limit applied
Allowlisted tables
Role filters applied

Built for financial and operational data.

Not a general purpose chatbot. Atlas is purpose-built for budgets, procurement, and invoices, with the controls a finance team can sign off on.

Detection

Automatic anomaly detection

Five detectors run in parallel on every broad question: budget overruns, spending outliers, stalled procurement, zero-budget departments, and stalled projects. Findings arrive with the answer, not in a separate report nobody opens.

  • Severity ranked
  • Acknowledge or suppress
  • Scoped to your role

Coverage

Multi-database support

Postgres, MySQL, SQL Server, Snowflake, BigQuery, Redshift, and Oracle. Connect several sources at once and Atlas keeps each one's dialect, schema, and access rules separate.

  • Seven dialects
  • Per-source credentials
  • Read-only connections

From question to answer, safely.

01

Ask

Type a question in plain English. No SQL, no ticket, no queue.

02

Guardrails

The question and the generated SQL both pass safety screening.

03

Analyze

Atlas queries your data, or serves it instantly from cache.

04

Answer

Numbers, a chart, and any flagged risks, streamed back live.

Prefer to see it first? The live demo runs against a realistic mock dataset, no account needed.

See Atlas answer your own questions.

Book a demo and we will send a 48-hour link so your team can ask Atlas anything against a realistic mock dataset. No install, no account.