Sales pipeline
Won revenue$300.6KSeptember 2026 · Sample
Focus sales effort on productive channels.
Explore dashboard
AI native · Google Sheets AI
Your Google Sheets.
Your Google Sheets.
An AI native workspace.
Connect your sheets, refresh their workbook snapshots, and ask questions across related tabs. Explore twelve dashboard examples for sales, finance, projects, and operations.
2026 Sales · Google Sheets
Ask
Tabs
2026 Sales · 4 tabs
Synced
You
Join the Orders and Products tabs — revenue by category this quarter?
Beverages leads at $128K, up 24% QoQ,
followed by Snacks at $96K and
Dairy at $74K. Figures blend units from
the Orders tab with prices from Products.
Revenue by category
Q3 · USD
BevSnacksDairy
ProduceBakeryFrozen
AI native analytics · Dashboard libraryOne connection.
One connection.
Twelve ways to see more.
Start with a business question.
Open a dashboard. See the value in your data.
Illustrative dashboards using fictional September 2026 data. Available analyses depend on the fields in your source.
Campaign scorecard
Campaign spend$55.5KSeptember 2026 · Sample
Compare the campaigns competing for your budget.
Explore dashboardExpense tracker
Recorded expenses$119.1KSeptember 2026 · Sample
Find the cost categories worth discussing.
Explore dashboardProject effort
Hours logged6.7KSeptember 2026 · Sample
See how delivery effort is distributed.
Explore dashboardHiring activity
Applications received5.3KSeptember 2026 · Sample
Review hiring activity by role.
Explore dashboardStore performance
Store sales$198.2KSeptember 2026 · Sample
Make store reviews more focused.
Explore dashboardInventory movement
Units shipped26.3KSeptember 2026 · Sample
Guide the next stock and fulfillment discussion.
Explore dashboardCustomer collections
Receipts$208.6KSeptember 2026 · Sample
Understand the rhythm of incoming payments.
Explore dashboardSupport desk
Tickets opened10.1KSeptember 2026 · Sample
Plan support coverage using demand patterns.
Explore dashboardPurchase tracker
Purchase value$164.3KSeptember 2026 · Sample
Review high-spend purchasing categories first.
Explore dashboardContent performance
Content views495.7KSeptember 2026 · Sample
Choose what to investigate in your next content review.
Explore dashboardDelivery tracker
Deliveries completed15.5KSeptember 2026 · Sample
Put regional delivery performance in context.
Explore dashboardEvery preview opens a full dashboardTake the question into your AI tools
The spreadsheet ceiling
Why formulas and pivot tables fall short.
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.
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.
Pivot tables are rigid
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.
Questions pile up
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.
How it works
Connect. Sync. Ask.
Three steps from a Google Sheet to an answer — no prep, no flattening, no SQL.
Step 01 — Connect
Connect your Sheet
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 · OAuth
Step 02 — Sync
Refresh selected tabs
Add the sheet to a Workbook, then refresh its snapshot when you need the latest rows. Review the last successful refresh before making decisions.
Refreshable snapshot
Step 03 — Ask
Ask in plain English
Type 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 + charts
What you get
Everything a spreadsheet can't do on its own.
Snapshot analysis of your Google Sheet — reading across tabs, picking the right chart, and asking when a question is unclear.
A refreshable connection to your sheet
Connect a Google Sheet directly and analyze its workbook snapshot. Refresh the source to bring in changes from your sheet.
Reads every tab & joins them
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.
The right chart, automatically
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.
Suggests & clarifies
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.
Reliable on large sheets
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.
Part of a Workbook
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.
Ask anything
Questions your sheet can finally 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.
Revenue by product this quarter
Month-over-month growth by region
Top 10 customers by spend
Which SKUs are trending down?
Average order value by channel
Join the Orders and Customers tabs — repeat-purchase rate
Sum of pipeline by stage
Weekly signups over the last 90 days
Compare this month to last month
Outlier orders above 3× the average
Privacy
Your sheet, your privacy controls.
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.
Full AI
Masked data
Hybrid (stats-only)
Local template
FAQ
Google Sheets AI, answered.
Can tableArth.ai connect to a live Google Sheet?
Yes. Connect a Google Sheet and analyze its imported workbook snapshot. Refresh the source to bring in sheet changes; questions use the last successful snapshot.
Can it read and join multiple tabs in one sheet?
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.
Do I need to know formulas, pivot tables, or SQL?
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.
Will it work on a large Google Sheet?
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.
Is my spreadsheet data kept private?
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.
Keep reading
Related
Product
Excel AI
The same plain-English analysis for Microsoft Excel files — uploaded or selected through the Excel add-in.
Explore → ProductWhat a Workbook is
Connect Sheets, Excel, and databases in one place, keep them in sync, and ask a single question across all of them.
Explore → GuideAnalyze Google Sheets with AI
A walkthrough of connecting a sheet, joining tabs, and asking your first questions in plain English.
Read more →
Get started
Connect your Sheet. Ask your first question.
Start with one Google Sheet. Connect it, ask in plain English, and see an answer and a chart in seconds.
AI native by design · MCP previewYour data.
Your data.
Your AI workspace.
Keep the conversation where you work. MCP brings authorized tableArth workbooks into compatible clients such as Claude, ChatGPT, and Cursor.
From Tally and spreadsheets to databases, cloud bills, and ad reports: connect the source once, then explore its workbook context through the tools you choose.
Ask your dataExplore dashboardsCreate new views
Explore MCP access Staged preview. Availability depends on your client, deployment, and plan. Creating or updating dashboards requires write permission.
One workbook. More ways to work.MCP
Your connected dataOne authorized workbook
Imagine asking in ClaudeExample
“Explore my workbook, explain what changed, and help me build a dashboard for the next review.”
Workbook context → governed analysis → a dashboard you can return to.