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.
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.
From source systems to a plain English question
DBAsk sits alongside your existing ETL, warehouse, and BI tools, it doesn't replace them.
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.
DBAsk gives you the SQL, not the answer
DBAsk never hides the SQL, and never runs it for you. The metadata and business definitions behind it are shown too, so your team can check it's correct. If anything is unclear, explain mode walks through the query and sets out which objects were used and why.
SELECT region, SUM(revenue) * 0.08 AS projected_loss FROM sales.fact_revenue WHERE region = 'North' GROUP BY region;
One platform, two ways to deploy
The full DBAsk platform either way: private AI engine, metadata layer, ongoing support. The only difference is what's underneath: your database, or a fully managed SovereignDB instance.
AI on Your Database
Add private AI to the relational database you already run
- AI server & API, deployed to your environment
- Metadata repository built inside your existing database
- Ongoing metadata support & consulting included
AI + Managed Database (SovereignDB)
We build and host the entire platform for you
- AI server & connecting API, provided by us
- We set up & manage the relational database (SovereignDB)
- Metadata repository created & populated within this new DB
A note on DBAaaS: it can be added to Bring Your Own Database for day-to-day DBA operations. With Fully Managed, we already operate SovereignDB, so it's not a separate add-on there. Keeping metadata current is data governance, included as part of DBAsk either way.
Real impact, across the organisation
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.
VLDB Managed
Our specialists handle deployment, metadata curation, model performance, and ongoing support, without touching your underlying data.
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.
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.
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.
Private by design
Only that metadata reaches the model, on a private GPU server. Your raw data rows never leave your environment.
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.
Want DBAsk bundled with database operations, pipelines and data models, as one managed service? See DBAI Platform.
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.