ChatGPT
Asks the world's knowledge
The DB Language Model
Ask your database anything.
Plain English in. SQL, answers, and charts out. Self-hosted, so your data never leaves your server.
// runs on ~2 CPU cores & 2 GB RAM · 5 database engines
Example: ask "How many new clients signed up last week?" and AskDblm returns the SQL and a chart with the answer.
A new category
ChatGPT asks the world. AskDblm asks your data.
AskDblm is a DB Language Model. Like an LLM, but purpose-built for your database. It reads your schema and speaks your data's language.
AskDblm
Asks your database
Who it's for
Two ways in. One engine underneath.
Ship analytics your users will actually use.
Embed natural-language querying into your own product in an afternoon. Self-hosted, no cloud lock-in, five database engines, live in minutes.
Embed it →Analytics that never leaves your walls.
Run it fully on your own hardware on a local model. Read-only, audited, certificate-secured. Not a single row of data touches any cloud AI.
See the security →What it does
Everything between a question and an answer.
Ask in plain English
No SQL, no training. It reads your schema and writes the query for you.
Instant charts
Answers come back as tables and auto-generated charts. Bar, line, pie, and more.
Embed it in your app
Drop AskDblm into your React, Flutter, or HTML product. Your users query your data in their own words.
Live in 2 minutes
Self-hosted. Point it at your database, it indexes the schema, you start asking. No cloud lock-in.
How it works
Three steps. No pipeline required.
1
Connect
Point AskDblm at your database: Postgres, MySQL, SQLite, MongoDB, or ClickHouse.
2
It learns
It indexes your tables and columns and writes its own plain-English knowledge of your schema.
3
You ask
Questions in, answers and charts out, with follow-ups that remember context.
See it work
Don't take our word for it. Watch it answer.
A real question, real SQL, a real chart, in seconds.
Top 5 products by revenue
New users last week vs the week before
Which orgs are most active?
Proof in numbers
Small footprint. Serious range.
15.7 MB
Live memory footprint for the engine
13
Databases queried at once in one demo (1,300+ columns)
5
Database engines supported out of the box
~2
CPU cores and 2 GB RAM to run it
<1s
Typical model round-trip per query
$21.3B
India BI analytics market by 2030 (from $5.7B today)
Why AskDblm
Built for the databases the cloud tools can't touch.
Grows with you
Start simple. Scale when you need to.
Direct Query
Connect to your existing database. No pipeline, no warehouse. Working in minutes.
Federated
Ask questions across several databases at once.
Full Lakehouse
Add history and time-travel analytics with a full data pipeline.
Security & control
Enterprise data stays enterprise data.
Run it entirely on your own infrastructure, on a local model, with nothing leaving your walls.
Self-hosted
On your own infrastructure. You hold the keys.
Local model
Run on a local model so not a single row goes to any cloud AI.
Read-only by default
It answers questions. It cannot change your data.
Access & audit
Per-user access controls and a full audit log.
Encrypted access
Certificate-based (mTLS) access between services.
Ask your data.
Pick a 30-minute slot and we'll show AskDblm answering questions against a live database.
Prefer a direct link? Book your 30-minute demo →