Does Beyond Queries see my data?

It reads your schema — table and column names and types — to build the query. Row data is only touched when you approve a query and it executes against your own database.

Which databases are supported?

PostgreSQL first. Other SQL warehouses are added based on what onboarding teams actually run.

What happens when it gets a query wrong?

You see the SQL before it runs, so you can correct it. The correction is stored as a settled definition, so everyone who asks the same question afterwards gets the agreed answer.

It is in active development and onboarding a small number of teams. There are no published performance figures yet.

Live at beyondqueries.com

Ask in English. Verify the SQL.

Beyond Queries reads your schema, writes the query, and shows it to you before anything runs. Correct a definition once and it stays corrected.

Open Beyond Queries Talk to us about it

What was revenue by region last quarter?

select r.name,

sum(o.total) as revenue

sum(o.total - o.refunded) as revenue

from orders o

join regions r on r.id = o.region_id

Line 2 counted refunded orders as revenue. Finance means net.

Synthetic, illustrative figures
North	128,400
West	96,150
South	74,920

Six steps

How a question becomes an answer

Five of these six steps are deterministic engineering. Only one involves a model, which is the whole argument for building it this way.

The question is classified

Is this a metric lookup, a comparison, or something that needs a join across three tables?

The schema is introspected

Real tables and real column types, read at query time rather than guessed from names.

Settled definitions are retrieved

What your finance team already decided “revenue” means, so the answer matches the rest of the business.

The gap is analysed

Where the question and the schema disagree, it says so instead of guessing quietly.

The query is generated

Written out in full, formatted, and attributable line by line.

A person verifies it

Nothing executes until someone has read the query and said yes.

Why it matters

A wrong answer looks exactly like a right one

Ordinary software fails deterministically. A model answering questions about a database fails statistically. It is right most of the time, and a revenue figure that quietly counts refunded orders does not announce itself. It sits in a board deck being wrong.

Schema first, not prompt first

It reads your actual tables and column types at query time, rather than inferring them from names.

The query is part of the answer

Every result arrives with the SQL that produced it, so a wrong definition is visible rather than buried.

Corrections persist

Fix what a word means once, and everyone who asks afterwards gets the agreed figure.

How it is built

The apparatus around the model

The same engineering we do for clients, applied to our own product.

Typed tool definitions

The model cannot invent a capability. Every action it can take is a declared tool with a typed signature.

Bounded retries

A failed generation retries a fixed number of times against a stated budget, then stops and says so.

An evaluation suite

A fixed set of questions with known-correct SQL, run on every change, so regressions surface before users do.

Tracing

Every step above is recorded. When an answer is wrong we can say which stage produced the error.

Beyond Queries is in active development and onboarding a small number of teams. We publish no performance figures for it yet.

Questions

What teams ask first

Does Beyond Queries see my data?: It reads your schema — table and column names and types — to build the query. Row data is only touched when you approve a query and it executes against your own database.
Which databases are supported?: PostgreSQL first. Other SQL warehouses are added based on what onboarding teams actually run.
What happens when it gets a query wrong?: You see the SQL before it runs, so you can correct it. The correction is stored as a settled definition, so everyone who asks the same question afterwards gets the agreed answer.
Is it available now?: It is in active development and onboarding a small number of teams. There are no published performance figures yet.

Try it against your own schema

Or tell us what your team asks its data most often, and we will say whether Beyond Queries is the right shape for it.

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