Exports go stale
You upload a file, get an answer, and it's already out of date. Every refresh means exporting and re-uploading all over again.
Connect your data · Ask in plain English
Connect your data. Ask anything.
tableArth.ai connects to your Google Sheets, Excel files, and databases, then answers your questions in plain English — with numbers, charts, and dashboards in seconds. Your analysis runs on live, synced data, and a single question can reach across every source at once.
Revenue Workbook
Ask
Dashboard
Sheets
MySQL
You
Top 10 products by revenue this quarter?
Acme Pro leads at $284K,
followed by Acme Cloud at $221K and
Acme Connect at $176K. The top 10 together
drove 64% of quarterly revenue.
Top products · revenue
Q4 · USD
ABCD
EFGH
Works with the data you already have
Google Sheets
Excel
PostgreSQL
MySQL
MongoDB
Druid
The problem
Your answers are trapped in files and databases.
The data that answers your questions is right there — in a spreadsheet, a production database, an events store. Getting an answer out of it is the hard part.
Data lives in many places
The real question spans a sheet and a database and a second tab. Answering it means exporting, flattening, and VLOOKUP-ing it all together by hand.
Only SQL people can ask
If the answer is in a database, the question waits in a queue for someone who can write the query — and the moment has usually passed by the time it comes back.
The solution
Connect it once. Ask it anything.
Point tableArth.ai at your data, and it stays connected and in sync. From then on, anyone can ask a question in plain English and get a real answer. Three steps, no warehouse, no SQL.
Step 01 — Connect
Connect your sources
Authorize a Google Sheet, connect an Excel file, or point it at a database — MySQL, PostgreSQL, MongoDB, Druid. Or upload a CSV.
Sheets · Excel · Databases
Step 02 — Sync
Build a Workbook
Add one source or many to a Workbook that stays in sync automatically. No re-uploading, ever, and multiple tabs and tables are understood and joinable.
Live · multi-source
Step 03 — Ask
Ask in plain English
tableArth.ai figures out which sources to use, joins them, runs the query, and answers with the right chart — plus suggested and clarifying questions along the way.
Answers + charts
Data sources
Everything plugs in.
Spreadsheets and databases, connected live or uploaded for a one-off. tableArth.ai reads the structure and you start asking.
Workbook
Connected data that stays in sync.
A Workbook holds all the sources behind an analysis — Sheets, Excel files, and databases — in one place, and syncs with each of them automatically. Your analysis stays current without a single re-upload, and one question reaches across the whole Workbook.
- Multiple sources in one place — no warehouse, no ETL
- Automatic sync — the analysis follows the data
- Unified answers across every connected source
Sales pipelineGoogle Sheets
OrdersMySQL
EventsMongoDB
Workbook
Synced
Sales pipeline ✓ live
Orders ✓ live
Events ✓ live
Multi-source answers
One question. All your data.
Ask a question in natural language and tableArth.ai pulls across every connected source — Sheets, Excel, and databases — to return a single, unified answer, chart, and drill-down.
Google Sheets
Excel
SQL databases
MongoDB
tableArth.ai
Answer
APAC revenue ↑ 48% YoY
Chart
Drill-down
128 accounts · Q4
Core features
Everything you need, out of the box.
Natural-language queries
Ask in plain English. tableArth.ai writes and runs the query — SQL or NoSQL — no schema knowledge required.
Multi-sheet joins
Multiple tabs and tables understood as related data and joined automatically — no VLOOKUP, no flattening first.
Auto chart selection
The engine picks bar, line, area, pie, scatter, stacked, or funnel — the right one for each answer.
Smart suggestions
Relevant questions suggested for your data, plus a clarifying question when a request is ambiguous.
Auto-built dashboards
Every dataset gets a ready-made dashboard — KPIs and charts, streamed in under five seconds, no config.
Talk to databases
Query private databases — Postgres, MySQL, MongoDB, Druid — in your own environment, just by asking.
Privacy modes
Four modes. You pick the tradeoff.
Most capable to most private — set it per source or per workspace. Query databases in your own environment, and control exactly what a model is ever allowed to see.
Most capable
Full AI
Rich answers with chart and insight.
Capability—
Privacy
Masked data
Sensitive values tokenized before the model.
CapabilityPrivacy
Hybrid
Stats only
AI sees stats. Rows stay in your stack.
CapabilityPrivacy
Most private
Local template
Zero external AI calls. Pure server-side.
—Privacy
Query databases in your own private environment — your data stays yours.
For software teams
Building software? Embed the same engine.
The engine that answers your questions also drops into your own product. Give your customers plain-English analytics on their own tables with a two-line widget, a REST API, or a Chrome extension — the same natural-language answers, auto charts, and privacy modes, white-labelled on your domain.
/ widget
Drop-in widget
A UI component you embed in two lines. The fastest way to make your product's tables AI-smart.
Embed the widget
/ api
REST API
Bring your own UI and call the API directly to power custom chat, copilots, or in-product flows.
See the API
/ chrome-extension
Chrome Extension
Overlay tableArth.ai on tables in any web app — even ones you didn't build.
Ship as an extension
FAQ
Answers, before you ask.
tableArth.ai connects to your data — Google Sheets, Excel
files, and databases like MySQL, PostgreSQL, and MongoDB — and
lets you ask questions in plain English. You get answers,
charts, and dashboards in seconds, working on live, synced data
instead of a one-time upload.
Google Sheets, Microsoft Excel files, and databases including
MySQL, PostgreSQL, MongoDB, and Druid. You can also upload CSV
and Excel files directly. More database connectors are being
added.
Connected sources stay live. A Workbook automatically syncs with
each source, so as your underlying data changes your analysis
stays up to date without any re-uploading.
Yes. With a multi-source Workbook, you ask a question in natural
language and tableArth.ai pulls data across all your connected
sources to return a single, unified answer.
Yes. You can query external databases such as PostgreSQL, MySQL,
MongoDB, and Druid running inside your own private environment
simply by asking — no exports, and the query runs where your
data lives.
Yes. The same engine ships as an embeddable widget, a REST API,
or a Chrome extension so software teams can give their customers
plain-English analytics inside their product. See the
For Software page.
Get started
Connect a source. Ask your first question.
Start with one sheet or one database. Connect it, ask in plain English, and see an answer and a chart in seconds.