Enterprise Semantic Intelligence
Turn questions into trusted SQL, powered by your metadata and approved by you.
DBAsk turns plain-English questions into transparent, verified SQL from your own curated metadata, and never runs a query until a human signs off.
You ask
"What revenue will we lose if Region North declines by 8%?"
DBAsk generates, you approve before it runs
SELECT region,
SUM(revenue) * 0.08 AS projected_loss
FROM sales.fact_revenue
WHERE region = 'North'
GROUP BY region;Works with the databases you already run
Intro to DBAsk
How DBAsk works
How metadata turns a plain-English question into trusted, human-approved SQL, without your data ever leaving your environment.
The Problem
Getting an answer means waiting in a queue
The data lives in your warehouse, but only a small group of BI developers and analysts can write the SQL to reach it. Every question becomes a ticket in their backlog.
Business users wait days for reports they need today, while your SQL experts burn time on repetitive requests instead of real analysis.
- Business users can't self-serve. They don't write SQL.
- A handful of BI developers become the bottleneck for the whole company.
- Simple reports take days; urgent ones jump the queue.
"Q3 pipeline by region, need it for the board"
assigned to BI team
"Which campaigns drove signups last month?"
assigned to Analyst
"Revenue vs forecast, split by product"
assigned to BI team
every answer depends on someone who can write SQL being free
What is DBAsk
A knowledge layer between AI and your database
DBAsk sits in the middle. Instead of exposing a raw database to an LLM, it's configured to understand what your data means: the business terms, trusted metrics, relationships and rules.
That context is the real value. It's what turns an educated guess into SQL your organisation can actually trust.
Business question
Asked in plain English
DBAsk Knowledge Layer
Glossary · metrics · relationships · lineage · security
Your database
Teradata · Oracle · Snowflake · SQL Server · BigQuery
Understanding DBAsk
From question to approved SQL in six steps
A simple, governed process, with a human in control at the point that matters.
Connect your database
Point DBAsk at your existing databases: Teradata, Oracle, Snowflake, SQL Server, BigQuery, Redshift and more. Nothing leaves your environment.
We configure your metadata layer
In a guided setup, we work with your team to configure the engine using your schemas, relationships, business glossary and existing SQL, so it understands what your data means. This is a hands-on setup, not automated scanning.
Ask in plain English
Business users just ask a question. No SQL, no ticket to the data team, no waiting.
AI generates transparent SQL
A private AI model uses your curated metadata to write the query, shown in full, with the metadata and sources it drew on.
You review and approve
See exactly what will run and why before anything touches your data. Nothing executes without explicit approval.
You run the approved query
Once you approve, you run the query yourself and get results you can defend, grounded in governed, verified business context.
The Benefits
Real impact, across the organisation
80%
fewer ad-hoc reporting requests
Seconds
from question to verified SQL
100%
of queries reviewed before they run
Zero
raw data leaves your environment
Raw data rows never leave your environment. Only metadata (column names, relationships and descriptions) is exposed to the model, via a secure private metadata layer running on a private GPU server.
Transparent SQL, not guesses
Every query is generated from your curated metadata and shown in full, with the sources behind it, for a human to review.
Self-serve for business users
Anyone can ask in plain English, freeing analysts from a queue of ad-hoc requests.
Nothing runs without approval
Humans inspect and approve every query before execution. No black-box surprises.
Governed business definitions
We help build and maintain your glossaries and definitions from your existing documentation and data models: a single source of business meaning.
Faster time to insight
From question to verified SQL in seconds, accelerating analytics and lowering BI costs.
Deploy on your terms
Public cloud, private cloud, on-prem or air-gapped. Your LLM, your infrastructure.
Our Approach
The model sees the right context, not your whole schema
Accuracy comes from what the model is given. Rather than dumping your entire schema into the LLM on every query, DBAsk selects only the metadata that matters for the question being asked.
- 01
Curated, not dumped
For each question, DBAsk narrows to the relevant tables, metrics and relationships, instead of feeding your entire schema to the model every time.
- 02
Grounded in your definitions
The selected context comes from your governed glossaries and business meaning, so the SQL reflects how your organisation actually defines its data.
- 03
Private by design
Only that metadata reaches the model, on a private GPU server. Your raw data rows never leave your environment.
Private AI model
receives the selected metadata, never your raw data rows
Who It's For
One platform, every team
Business Users
Ask questions naturally. No SQL required.
Analysts
Generate complex SQL in seconds.
Data Engineers
Capture business meaning in one governed layer.
Data Governance
Centralise business definitions.
CIOs
Safely scale enterprise AI.
Developers
Integrate AI into existing applications.
Get Started
Stop asking AI to guess. Teach it.
Give enterprise AI the knowledge architecture it needs to generate trusted, reviewable SQL from your data. Book a personalised demonstration today.