Ask
Which accounts expanded fastest this quarter, and what changed?
Dataira
From questions to optimized data architecture.
Dataira is an AI Data Platform that connects to your databases, answers questions in natural language, learns from usage, and progressively transforms raw data into optimized analytics layers.
PostgreSQL · MySQL · ClickHouseWeb · MCP/IDE · Slack · Discord
Dataira — Chatlive
Which products had the most returns last quarter?
Datairaverified SQL ↗
| Product | Returns | Rate |
|---|---|---|
| SKU-1029 | 847 | 12.3% |
| SKU-0441 | 612 | 9.8% |
| SKU-0882 | 589 | 9.1% |
Context: orders.returns
Save answer →The problem
Data is everywhere. Answers are hard to reach.
Data exists but is underused
Teams depend on analysts to write SQL. Business knowledge stays locked in people's heads, not in the data stack.
Rigid tools, shallow AI
BI dashboards answer predefined questions. Chat-to-SQL tools hallucinate joins. Neither adapts to how your team actually uses data.
No feedback loop
Corrections, query patterns, and production logs disappear. Nothing feeds back into better answers or better architecture.
Manual everything
Schema changes go undetected. Indexes are added too late. Analytics layers are built by hand and rot behind schedule.
How it works
A platform that learns from every query.
Dataira connects to your databases, answers questions, learns from usage, and progressively transforms raw data into optimized analytics layers.
01
Connect & Understand
Link your database in minutes.
The onboarding wizard discovers schemas, detects relationships, and interviews your team to attach business meaning to columns and tables. PostgreSQL, MySQL, and ClickHouse supported out of the box.
02
Ask
Questions in plain language, answers in seconds.
Ask via Web chat, MCP/IDE, Slack, or Discord. Get results as a summary, chart, or data table — with inspectable SQL every time. Save any answer to your dashboard or questions library.
03
Learn & Observe
Every interaction improves the system.
Corrections update the semantic layer for everyone. Dataira analyzes query patterns from chat, applications, MySQL logs, and pg_stat_statements to detect what matters most.
04
Optimize
From patterns to concrete improvements.
Based on real usage, Dataira suggests indexes, recommends schema changes, proposes intermediate tables, and identifies expensive queries — before they become problems.
05
Structure Analytics
Automated data transformations.
Dataira syncs data into ClickHouse, creates bronze/silver/gold intermediate tables, generates transformations, and maintains them with scheduled jobs — like dbt, but automated with AI.
06
Govern
Safe by default, auditable by design.
Read-only queries by default. Full audit logs, fine-grained permissions, and row-level security. Schema drift is auto-gated until semantic re-review is complete.
Example workflow
From plain-language question to reusable analytics asset.
Dataira makes the path from question to SQL to chart visible enough for analysts and fast enough for business teams.
Inspect
Review generated SQL, joins, filters, and assumptions before sharing.
Use
Turn the answer into an executive summary, chart, or saved dashboard pin.
Integrations
Meet teams where their data and questions already live.
Start with one database, then bring trusted answers into the workflows where decisions happen.
Databases
PostgreSQLMySQLClickHouseBigQuery
Surfaces
Web appMCP / IDESlackDiscord
Controls
Read-only queriesSQL audit trailSchema discoverySaved answers
Get started
From questions to optimized data architecture.
Start with one database. Ask a question. Every interaction makes the next one better — and your data stack smarter.