Ask your data
in
plain English .
Ship the answer as a widget.
DataQueri turns natural-language questions into live data products — over your own databases, spreadsheets, and SaaS sources. Drop in a CSV to start; bring the warehouse when you're ready.
What were our top five products by revenue last quarter, and how did each one trend month-on-month?
SELECT product,
DATE_TRUNC('month', ordered_at) AS month,
SUM(line_total) AS revenue
FROM orders
WHERE ordered_at >= '2026-01-01'
AND ordered_at < '2026-04-01'
GROUP BY 1, 2
ORDER BY revenue DESC
LIMIT 60;One question, one query, one live widget — embeddable as-is, or wrapped behind an auto-generated API.
From question to widget to API. No glue code.
DataQueri sits between the question and the answer — generates the query, runs it against your sources, ships the result as a live widget, and exposes it as an API the moment you save it.
Ask in plain English
Type the question the way you'd say it out loud. DataQueri turns it into a verified SQL or aggregation query against your data, shows you the query, and runs it. No DSL, no syntax to learn, no "reach out to the data team".
Multi-source joins
Postgres, MySQL, MongoDB, BigQuery, Snowflake, CSV uploads, Google Sheets, and the SaaS connectors you already pay for — joined in a single query. The semantic layer (via DataAtlas) keeps the joins safe.
Live widgets on shared dashboards
Every answer becomes a widget — table, chart, KPI, map — that stays live against the source. Compose widgets into shared dashboards your team actually visits, or embed them in docs and internal portals. Nothing to refresh, nothing to re-export.
An API in every widget
Every saved widget exposes a production-ready API endpoint — typed, authenticated, rate-limited. The dashboard the analyst built on Tuesday is the API the engineer wires into the app on Wednesday. Same source of truth.
First five minutes: a CSV
Don't have a database handy? Drop a CSV or JSON file. DataQueri infers a schema, lets you ask questions of it, and stitches it together with any other source you connect later. The polished onboarding path — start where you are.
Export to PDF when the room needs it
One click turns any widget or dashboard into a board-pack-ready PDF. The number that survived contact with reality on Monday is the number on the slide on Friday — no re-rendering, no "the chart looks different now".
The model writes the query. You see the query.
DataQueri's own AI engine translates your question into a query, then validates it against the semantic layer before running anything. You always see the generated SQL or aggregation — edit it, save it, share it. It isn't a black box stuck on the side of your database; it's a junior analyst whose work you can read.
"Customers who upgraded in the last 30 days, grouped by source channel — who's the rep on each?"
-- generated, validated against semantic layer
SELECT c.channel,
u.email,
u.plan,
u.upgraded_at,
r.rep_name
FROM users u
JOIN channels c ON u.source_id = c.id
LEFT JOIN reps r ON c.rep_id = r.id
WHERE u.upgraded_at >= NOW() - INTERVAL '30 days'
ORDER BY u.upgraded_at DESC;
-- → 142 rows · 84ms · cachedYour data is fragmented. Your insights shouldn't be.
Built for anyone with a question and data to answer it. Not built for anyone who'd rather not look.
For
YES- Anyone curious about their own data
- Operators, founders, marketers, analysts — if you have a question, you're the audience
- Teams who'd rather ask than wait
- First-time data users — no SQL required to get a clear answer
Not for
NO- People who'd rather not know
- Teams who prefer the gut-feel meeting
- Anyone happy waiting for next quarter's dashboard
- Leaders with their head firmly in the sand
Start querying your data
in under five minutes.
- 1 Drop a CSV
At app.dataqueri.com — or connect a Postgres, MongoDB, or BigQuery in two clicks.
- 2 Ask a question
Type it the way you'd say it. See the generated SQL before it runs.
- 3 Ship the answer
Save as a widget, embed it, or share the auto-generated API URL.
No credit card. No setup. Your data stays yours.