Large language models are exceptional at language, not at your business. Without context they guess, without metadata they drift, without governance they become a risk.
DBAsk gives AI the missing knowledge layer: what each table means, how objects relate to one another, and how SQL should be written.
The model matters, but it's what DBAsk builds between the model and your data that turns a question into SQL you can check.
DBAsk sits alongside your existing ETL, warehouse, and BI tools, it doesn't replace them.
DBAsk connects to the relational database you already run, or we provision SovereignDB as your managed foundation. Access is read-only, and only metadata is stored, never your data, and it stays inside your private environment.
A private AI model is deployed into your environment. No public APIs. All inference happens on dedicated infrastructure inside your perimeter.
The metadata engine and AI interface are built on top, turning plain English questions into transparent, reviewable SQL grounded in your actual business definitions.
DBAsk generates the SQL and shows its sources, but never runs it. A person on your team always reviews, approves, and executes it, DBAsk never acts on its own.
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;
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.
Add private AI to the relational database you already run
We build and host the entire platform for you
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.
Business users ask questions naturally, analysts get complex SQL in seconds. No query language required on either side.
DBAsk continuously discovers and documents your data: glossary, table and column definitions, relationships, and business rules.
DBAsk never hides the query. Every result comes with the SQL, sources, and definitions used, so you can verify before you trust.
Ask DBAsk to explain the SQL it just generated. It breaks down which objects it used and why, and the metadata behind each choice, so a reviewer can check the logic without reading the query line by line.
Every AI interaction, query, and data access event is logged and auditable. Meets requirements for GDPR, ISO 27001, and sector-specific frameworks.
Deployed entirely within your perimeter. No public model calls, no cloud egress, no shared infrastructure.
Our specialists handle deployment, metadata curation, model performance, and ongoing support, without touching your underlying data.
No public model calls, so it suits every team that touches the data, and sectors where exposure isn't an option.
Ask questions naturally. No SQL required, and no waiting on a report queue.
Generate complex SQL in seconds, then inspect, refine, and run it with full confidence in the source.
Let DBAsk automatically document data assets instead of maintaining a wiki no one reads.
Centralise business definitions and canonical metrics so every team works from the same source of truth.
Law firms, financial services, and healthcare organisations get AI-assisted insight that never leaves their perimeter, with full audit trails.
Safely scale enterprise AI with governance, security, and observability built in from day one.
Talk to our specialists about deploying DBAsk and giving your teams reviewable, transparent SQL.