Ask your database a question. Keep the answer.
Dataki writes the SQL, runs it against your warehouse and draws the chart. Anything worth keeping becomes a live dashboard with a link — not a message that scrolls away.
Read-only connections · your credentials never reach the assistant · every query logged.
An AI analytics platform that queries your database directly and charts the answer inline.
Connect BigQuery, PostgreSQL, MySQL, Supabase, MongoDB or Google Sheets and ask a question in plain English. Dataki writes the SQL, runs it against your warehouse, and renders the chart beside the answer — with the query on show, so anyone who reads SQL can check the logic. Keep what matters as a live dashboard, or connect Claude, Cursor and ChatGPT through Dataki's MCP server and let them query the same governed sources without ever seeing a credential.
Reads directly from
- BigQuery
- PostgreSQL
- MySQL
- Supabase
- Google Sheets
- Stripe
- and the rest →
01 One question, end to end
Ask in English. Read the SQL. Keep the chart.
The query is never hidden. Every answer arrives with the SQL that produced it, editable, so anyone who reads SQL can check the logic instead of trusting the sentence above it.
More on the assistantWhich channels brought in revenue last quarter?
02 Dashboards
The follow-up doesn't cost you the dashboard.
Open the chat and the dashboard scales rather than disappearing — every widget you were reading is still on screen while you ask about it. Ask for a change and it lands on the board, not in a message you have to scroll back to.
Which plan is actually carrying the growth?
Business. It added $18.9k of the $29.2k gained since June — 65% of net new MRR from 31% of accounts.
SELECT plan, SUM(mrr) AS mrr
FROM billing.subscriptions
WHERE status = 'active'
GROUP BY plan
ORDER BY mrr DESC Drag widgets, resize them, set a date range, add filters, publish a link. The dashboard is a real document — it does not evaporate when the conversation ends.
More on dashboards03 Getting your data in
Point it at the database you already have.
No warehouse to build, no modelling layer to define, no pipeline to schedule. Give Dataki a read-only role and it reads your schema — the same tables your application writes to.
Every source it readsDataki connects with a read-only role and stores the credentials encrypted. They are never sent to the model — it receives your schema, and the query it writes runs on our side.
04 What the model never gets
The model writes the query. It never holds the keys.
Your credentials are encrypted on our side and never enter a prompt. What the model receives is your schema; what runs is SQL, on a read-only role, from our infrastructure. Every query is recorded with the key that ran it and the rows it returned.
How the security model works- The SQL is on show
- Every answer carries the query that produced it, editable. Anyone who reads SQL can check the logic instead of trusting the sentence above it.
- Read-only by construction
- Dataki connects with a role that cannot write. It is not a policy someone has to remember — the connection has no other permission to lose.
- Scoped, revocable keys
- Embed and MCP keys carry their own daily ceilings on queries and bytes scanned, and die the moment you revoke them.
- A log, per query
- The SQL, the row count, the key. If you need to answer what was read and by whom, the answer already exists.
The honest version: a trained analyst with Tableau will out-model us on a hard question. The point is that most questions are not hard, and they should not need an analyst. See the full comparisons.
05 Assistants, over MCP
Or ask from the window you already have open.
Dataki runs a remote MCP server. Point Claude, Cursor or ChatGPT at it and they can query the same governed sources, under the same key ceilings and the same audit log — without ever seeing a credential.
- Claude
- Cursor
- ChatGPT
- VS Code
How many trials converted last week, by source?
| Source | Converted | Rate |
|---|---|---|
| Organic search | 84 | 24.1% |
| Partner referral | 51 | 31.6% |
| 27 | 18.4% | |
| Paid social | 12 | 9.2% |
Partner referral converts best at 31.6%, but organic search brought the most conversions in absolute terms.
06 Inside your own product
Become the analytics layer of your own product.
Embed a live dashboard in your app, your customer portal or an internal tool with a web component that works with any stack, isolates its own styling, and respects dashboard-level permissions.
More on embedding<!-- Load the Dataki embed script once -->
<script type="module" src="https://app.dataki.ai/embed/dataki-embed.es.js"></script>
<!-- Render a dashboard anywhere in your app -->
<dataki-dashboard
dashboard-id="YOUR_DASHBOARD_ID"
api-key="YOUR_EMBED_API_KEY"
theme="dark">
</dataki-dashboard> Dataki helps us stay in flow — we can analyze our databases, create dashboards, and share them with the team
Connect your data sources → DATAKI AI processes → Beautiful insights dashboard
Integrate with major databases and services – BigQuery, MySQL, PostgreSQL, Supabase, Google Sheets and Gemini.
You pay for governed data, not for seats
Anyone can view a Dataki dashboard for free, on every plan. Charging by the head would only make you think twice before sharing one.
Beta Every plan is free while Dataki is in beta
No card, no trial clock. These are the prices we intend to charge, published early so nothing about them is a surprise later. When billing starts you get 30 days' notice by email, and whatever you have built keeps working.
Free
forever
$0 during beta
Connect Dataki to Claude, Cursor or ChatGPT and keep what it builds.
-
One data source
-
100 AI messages a month
-
Unlimited dashboards, unlimited viewers
-
MCP server for any AI assistant
-
Every query logged
Team
per month
$0 during beta
For a team that has stopped queueing behind one analyst.
-
Three data sources, three editors
-
1,000 AI messages a month
-
Unlimited dashboards, unlimited viewers
-
Encrypted credentials your agents never see
-
Scheduled refreshes and alerts
Pro
per month
$0 during beta
For the whole company, with the controls an admin will ask for.
-
Unlimited data sources, ten editors
-
4,000 AI messages a month
-
Badge-free embedded dashboards
-
Scoped, revocable API keys with spend ceilings
-
Audit log of everything an agent ran
Platform
per month
$0 during beta
Embed Dataki in your own product. Priced per app and end-user volume.
-
One app, 25 active tenants included
-
Multi-tenant dashboards with row-level scoping
-
Per-tenant theming and white labelling
-
Your agent calls Dataki's MCP for your customers
-
Self-hosting and dedicated support
An AI message is one question you ask Dataki. Reading a dashboard, refreshing it or sharing it with anyone is never a message, and never counted.
Already on a per-seat plan? It keeps working at the price you signed up for.
Questions people actually ask
The short, checkable answers — the same ones we would give you on a call.
- Can I run queries directly against BigQuery and see the results visualised inline?
- Yes. Dataki connects straight to BigQuery, translates your plain-English question into SQL, runs it against your warehouse, and renders the chart inline next to the answer. You can open the generated SQL for any chart, edit it, and re-run it. The same flow works for PostgreSQL, MySQL, Supabase and Google Sheets.
- Is Dataki a notebook, a BI tool, or something else?
- Dataki sits between the two. Like a notebook, you work by asking one question after another and each answer comes back as a live chart backed by real SQL. Unlike a notebook, the result is not a document you have to re-run — anything worth keeping becomes a dashboard with a permanent link that refreshes on its own and can be shared with people who will never open a query editor.
- Can I connect Claude, Cursor or ChatGPT to my own database?
- Yes. Dataki exposes a remote MCP server, so any assistant that speaks the Model Context Protocol — Claude, Cursor, ChatGPT and others — can list your data sources, run governed queries and create dashboards. The assistant receives query results only; database credentials stay encrypted inside Dataki and are never passed to the model.
- Do I need to know SQL to use Dataki?
- No. You ask in plain English and Dataki writes and runs the SQL for you. The query is always shown, so anyone who does read SQL can check the logic, correct it, or take it away and use it elsewhere — the generated SQL is not hidden or proprietary.
- Which data sources does Dataki support?
- Dataki connects to Google BigQuery, PostgreSQL, MySQL, Supabase, Google Sheets and MongoDB, plus SaaS sources including Stripe and Google Analytics. Connections are read-only by default, and a single question can join data across more than one source.
- How does Dataki stop an AI agent from doing damage to production data?
- An API key acts as the person who created it and can never reach a source that person could not already open. Keys are scoped by permission, carry daily ceilings on query count and bytes scanned, and can be revoked at any time. Every query is logged with the key that ran it, the SQL, the row count and the duration — failures included.
- Can I embed Dataki dashboards inside my own product?
- Yes. A <dataki-dashboard> web component renders any dashboard inside your app, portal or internal tool with one line of HTML. It works with any framework, keeps its styling isolated from your site's CSS, and supports per-tenant theming and row-level scoping so each of your customers only sees their own data.
- How much does Dataki cost?
- Dataki is free for everyone while it is in beta — no card, and 30 days' notice by email before billing ever starts. The published plans are Free (one data source, 100 AI messages a month), Team at $49 a month (three sources, three editors, 1,000 messages), Pro at $199 a month (unlimited sources, ten editors, 4,000 messages) and Platform from $499 a month for embedding Dataki in your own product. Every plan is priced on data sources, editors and AI messages rather than per seat, so people who only look at dashboards are always free and never counted.
Free while we are in beta
Connect a database. Ask it something.
It takes about five minutes and a read-only connection string. If it cannot answer your first real question, you have lost an afternoon coffee's worth of time and nothing else.
- One data source
- Free tier. Connect a second on any paid plan.
- Unlimited dashboards
- And unlimited people looking at them.
- No card
- There is nothing to cancel if you stop.