Formulas break silently
A nested VLOOKUP or IF chain fails the moment someone inserts a column or renames a tab. It returns #REF! or, worse, a plausible wrong number — and no one notices until the report is out.
Connect a live Google Sheet to tableArth.ai and ask questions the way you'd ask an analyst. It reads every tab, joins related data, and answers with the right chart — running on your sheet as it is now, not a one-time export. No formulas, no pivot tables, no SQL.
Sheets are excellent at holding data and terrible at answering open questions about it. Past a certain point, every new question becomes manual work — and the answers get harder to trust.
A nested VLOOKUP or IF chain fails the moment someone inserts a column or renames a tab. It returns #REF! or, worse, a plausible wrong number — and no one notices until the report is out.
A pivot answers exactly one shape of question. Change what you want to know — a new breakdown, a different filter, another time range — and you rebuild it by hand, every single time.
Every "can you just pull…" means another tab, another chart, another export. The backlog of ad-hoc requests never clears, and the person who knows the sheet becomes the bottleneck.
Three steps from a Google Sheet to an answer — no prep, no flattening, no SQL.
Authorize a Google Sheet in a couple of clicks. tableArth.ai reads every tab and its columns automatically — each tab kept as its own table, with no flattening or manual prep.
Google Sheets · OAuthAdd the sheet to a Workbook and it stays connected. As rows change in the sheet, your analysis updates with them — no re-uploading a fresh export to stay current.
Auto-sync, liveType a question the way you'd ask a colleague. tableArth.ai works out which tabs it needs, joins them, runs the query, and answers with the right chart — suggesting and clarifying along the way.
Answers + chartsLive analysis on your Google Sheet — reading across tabs, picking the right chart, and asking when a question is unclear.
Connect a Google Sheet directly and analysis runs on live data. A Workbook keeps it in sync, so answers reflect the sheet as it is now — not the moment you exported it.
A multi-tab sheet is read as related tables. Ask across tabs and tableArth.ai joins on shared keys automatically — no VLOOKUPs, no combining everything into one flat sheet first.
Answers arrive with the visual that fits — bar, line, area, pie, scatter, stacked bar, funnel, or a plain table — chosen by the engine, never configured by you.
It suggests relevant questions for your sheet, and asks a quick clarifying question when a request is ambiguous — so you reach the right answer faster and with more confidence.
Bigger sheets connect and load reliably. The timeout issues that used to affect large datasets are fixed, so querying a heavy sheet stays smooth from the first question.
Your sheet can sit alongside Excel files and databases in one Workbook, so a single question can reach across every connected source and return one unified answer.
Type them the way you'd say them out loud. tableArth.ai figures out the tabs, the joins, and the chart — you just ask.
You decide how much of your spreadsheet a model can see. Four privacy modes let you dial it from full assistance to fully local — the same controls apply whether you connect a Google Sheet, an Excel file, or a database.
Yes. You connect a Google Sheet directly, so analysis runs on live data rather than a one-time upload. Add the sheet to a Workbook and it stays in sync automatically — as the underlying data changes, your analysis stays up to date without re-uploading.
Yes. tableArth.ai reads a multi-tab Google Sheet as related tables, not one flat blob. You can ask questions across tabs and it joins related data on shared keys the same way you would across database tables — no VLOOKUPs and no combining everything into one sheet first.
No. You ask in plain English and the engine writes and runs the query for you, then returns the answer with the right chart. There are no formulas to maintain and no pivot tables to rebuild.
Yes. Larger sheets connect and load reliably — the timeout issues that used to affect bigger datasets are fixed, so querying a heavy sheet stays smooth.
You choose from four privacy modes — Full AI, Masked data, Hybrid (stats-only), and Local template — which control exactly what a model can see. You can see how each mode works on the security page.
The same plain-English analysis for Microsoft Excel files — connected live, or uploaded when you need a one-off.
Explore → ProductConnect Sheets, Excel, and databases in one place, keep them in sync, and ask a single question across all of them.
Explore → GuideA walkthrough of connecting a sheet, joining tabs, and asking your first questions in plain English.
Read more →Start with one Google Sheet. Connect it, ask in plain English, and see an answer and a chart in seconds.