AI assistant

An AI data analyst that speaks SQL for you

Ask a question in plain English. Dataki reads your schema, writes the SQL, runs it, and builds the chart — and shows you the query it used, every time.

01Conversational Intelligence

From question to decision clarity in seconds

Dataki turns natural language into optimized queries, context-aware insights, and evolving dashboards. Instead of tool gymnastics—simply converse, refine, and publish.

Compare weekly revenue with paid ads spend in Q3
Natural LanguageAuto ChartsContext MemorySemantic JoinsGovernedReal-Time
NL

Natural Language

Ask layered business questions in plain English—no SQL, no schema spelunking.

FX

Smart Visuals

Automatic chart & layout selection tuned to comparison, trend, and magnitude intent.

MEM

Context Memory

Understands prior questions to refine scope, reuse filters & expand reasoning threads.

JOIN

Semantic Joins

Resolves entity relationships across sources without manual key stitching.

OPT

Query Optimization

Push-down filters & aggregation planning reduce latency and warehouse spend.

GOV

Governance Ready

Respects data policies, role scopes & lineage while generating answers.

Cost-aware execution
Vector-augmented semantics
Policy-aligned outputs

After the chat

The answer is still there tomorrow.

Ask in plain language. Dataki writes the SQL, runs it against your database and draws the chart. Anything worth keeping becomes a dashboard with a link — not a message that scrolls away.

app.dataki.ai/dashboards/revenue-by-channel BigQuery · payments

3 views · Updated just now

Revenue by channel Q3 · 5 rows
Organic searchPartner referralEmailPaid socialDirect $0$100K$200K$300K$400K$500K

One click on the answer, and that chart is a dashboard of its own:

app.dataki.ai/dashboards/revenue-by-channel

Live, not a screenshot. It runs the query again whenever it is opened, so the number your team reads on Friday is Friday's number.

Share it
Send the link to anyone. People who only look are free on every plan.
Fix it
Edit the SQL by hand whenever the model gets the logic almost right.
Embed it
Put the same dashboard in your own product with two HTML tags.