Your data warehouse,
spoken plainly
Type a question like "Which products had the most returns last month?" and TableAI queries across Snowflake, BigQuery, or Redshift, returning a formatted table in seconds. No SQL.
| Product | Category | Units Sold | Returns | Return Rate |
|---|---|---|---|---|
| Canvas Tote XL | Bags | 1,840 | 312 | 16.9% |
| Runner Pro v2 | Footwear | 3,210 | 498 | 15.5% |
| Cord Set A | Accessories | 920 | 127 | 13.8% |
| Shirt Linen S | Apparel | 2,155 | 278 | 12.9% |
| Desk Pad Oak | Home | 740 | 88 | 11.9% |
Three steps from question to answer
No SQL, no waiting, no ticket queue. Just ask what you need to know.
Ask in plain English
Type your question the way you would ask a colleague. TableAI understands context, timeframes, and business terminology.
TableAI routes and queries
The engine determines which warehouse your data lives in, discovers the relevant schema, and constructs the appropriate query automatically.
Get your answer table
Results arrive as a clean, sortable table you can export to CSV, share with your team, or deliver directly to a Slack channel.
Built for the questions that matter
Cross-system queries
Ask one question that spans data sitting in different warehouses. TableAI figures out where the relevant tables live and joins the results automatically.
No SQL required
Any team member can ask the data a question. Operations, marketing, support, finance. TableAI translates natural language into precise queries so analysts can focus on harder problems.
Instant formatted results
Answers come back as typed, sortable tables with proper column headers. Export to CSV with one click. Deliver to Slack automatically. No post-processing needed.
Team sharing
Save and share queries across your team. Build a library of recurring questions so anyone can re-run them without asking the data team each time.
Read your warehouse schema, answer in seconds
TableAI reads your warehouse schema on connection, interprets natural-language questions including ambiguous phrasing, and produces a typed table output with every run. Founded in Seoul in 2025 by a team that spent years clearing analytics queue backlogs.
Simple, team-sized pricing
Start free. Scale when you need it.
- Unlimited queries
- Up to 5 data sources
- Cross-source queries
- Slack delivery