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Go beyond queries. Just ask.

Ask your database in plain English. Get a trustworthy answer, see the SQL that produced it, and verify the rows behind it. Tell it when it’s wrong, and it learns from your feedback for next time.

200 free questions a month Read-only by design Learns from your feedback

Someone in ops asks

“What was revenue by region last quarter?”

Production DB

BeyondQueries first wrote SUM(o.total) as revenue. An analyst flagged that this counts refunded orders, and corrected it to SUM(o.total minus o.refunded). Once the correction was approved, later revenue questions on this database start with it applied.

Illustrative example. The correction cycle is how the product works.

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The problem

The number is in your database. The answer is stuck in a queue.

Every company has a few people who can write SQL and a line of people waiting on them. The data was never the hard part. Getting to it is.

A returns request sits in a ticket queue for two days. Asking in chat returns 184, with no ticket filed.

Skip the queue

Someone asks how many orders came back last month. They get the number before the meeting — no ticket, no wait.

Ops, sales and customer success all used to wait on one analyst. Each of them can now ask the database themselves.

Don’t wait on anyone

The few people who can write SQL stop being a help desk. Everyone else asks the database themselves.

A generic tool reports $1.24 million by summing order totals. BeyondQueries subtracts refunds, because that is what revenue means here, and shows the SQL.

Not a generic SQL box

A generic AI doesn’t know that revenue means paid orders minus refunds. You see the SQL, so a confident wrong number can’t hide.

The solution

Ask the database yourself, and get an answer you can check.

BeyondQueries sits between your question and your database. It writes the SQL, checks it is safe, runs it read-only, and answers in plain English, with its work shown.

Connect it read-only

Point it at PostgreSQL or MySQL with a user that can only read. Nothing is copied or synced.

Choose what it can see

Switch off any table or column, like phone numbers or CNICs. Hidden means the AI never sees it.

Teach it your terms

Write short notes once: what revenue means, which orders to ignore, which date to report by.

Ask in plain English

Type the question the way you'd ask a colleague. Follow-up questions keep the context.

Check the answer

Every answer comes with the SQL that ran and the rows behind it. Nothing is hidden.

Correct it once

On team plans, flag a wrong answer and say why. Once a reviewer approves the fix, similar questions use it.

Rich results

Every answer as prose, rows and the SQL that ran.

A plain-English answer, the SQL that produced it, and the rows themselves — side by side, so the analyst and the operator can both trust it.

Show me the top 5 customers by revenue this month

BeyondQueries

Here are the top customers by revenue for this month.

01SELECT c.name, SUM(o.total) AS revenue
02FROM customers c
03JOIN orders o ON c.id = o.customer_id
04GROUP BY c.name ORDER BY revenue DESC;
namerevenue
Acme Corp$125,430
TechStart Inc$98,210
Global Systems$87,540
Synthetic example — 3 of 5 rows · customers, orders

An answer in words

Written for whoever asked, not for whoever maintains the schema.

The SQL that ran

Shown by default, never hidden — so it can be checked and corrected.

The rows themselves

Formatted tables with the tables touched and the time taken.

What ran, in numbers

Row count, the tables touched, and how long it took — so a result is never a black box.

Copy the SQL

One click hands the exact query to anyone who wants to run it, tune it, or drop it straight into a report.

Why it’s different

Text-to-SQL guesses. BeyondQueries learns how your business counts.

A plain text-to-SQL tool starts from zero on every question. BeyondQueries starts from what your people have already written down and already corrected.

Your notes shape every answer

Write down once what your terms mean. Every query after that follows them.

“Revenue” means paid orders minus refunds

Returns are counted by the date they came back

Test and cancelled orders never count

A wrong answer gets fixed once

On team plans, anyone can flag an answer and say why. A person approves the fix, and similar questions use it from then on.

Nothing changes without a person signing off

The same mistake doesn't come back next week

No model is retrained, so nothing drifts

How a correction travels

01Flagged02Reviewed03Approved04Used next time
Security and privacy

It can read your data. It can’t change it.

Letting an AI near your database should be an easy yes. Every query is checked before it runs, and anything that could write, delete or read a hidden column is stopped with the reason.

Read-only, checked twice

Every query is parsed before it runs, and you connect with a read-only user. Two locks, not one.

Hidden means hidden

Columns you switch off are left out of everything the AI receives, and any query naming one is refused.

Credentials encrypted

Database passwords and AI keys are encrypted at rest and never shown again after you save them.

Access per database

On team plans, five roles from Owner to User, granted database by database.

What the guard does with each query

SELECT b.city, COUNT(*) FROM returns …
One read-only SELECT. It runs.
Runs
DELETE FROM customers;
DELETE statements are not allowed — this connection is read-only.
Refused
SELECT 1; DROP TABLE orders;
Only one statement can be run at a time.
Refused
SELECT name, phone FROM customers;
The column "customers.phone" is not available to this workspace.
Refused

Refusal messages are the guard’s exact wording. Read how your data is handled.

Who it’s for

For anyone who has ever waited on a number.

Start on your own with one database. Bring your team in when the questions outgrow you.

For the person who needs the number

Founders, shop owners, operations leads. You have a database and a question, and no time to learn SQL or wait for someone who knows it.

Ask in plain English, get the answer yourself

See the SQL, so you know it counted the right thing

Free plan, no card needed

For the team tired of the queue

Managers and stakeholders ask for themselves. The people who know the schema write the notes once and approve fixes, instead of pulling numbers all week.

Everyone asks directly, nobody files a ticket

Roles per database decide who sees what

Wrong answers go to a review queue, not a group chat

In the product today

Everything you need to get answers without writing SQL.

Plain-English questions

With follow-ups that keep context

SQL shown every time

Copy it with one click

The rows behind it

Real results, not summaries

Read-only guard

One SELECT or nothing

Hidden columns

Never sent to the AI

Business notes

Your terms, applied to every query

Query history

Every question, kept

Export results

Take the rows anywhere

Review queue

Fix a wrong answer once

Roles per database

Owner, Admin, Editor, Analyst, User

PostgreSQL and MySQL

More databases coming

Your own AI model

OpenAI, Anthropic, Gemini, Bedrock, Azure, Ollama, vLLM

Get started

Stop waiting for the number. Ask for it.

Connect a database with a read-only user and ask your first question. The Free plan includes 200 questions a month and needs no card. Upgrade when you need more.