Most Excel analysis is the same few steps: combine the sheets, clean the columns, build a pivot, chart it and write up what it means. Rixx does those steps for you from a plain-English request, on the workbook itself.
You upload the file, Rixx analyses it in its own private workspace, with a full terminal and Python, and you get back answers, charts and a new workbook. Your original file stays as it was.
AI for Excel analysis, without the add-in
Rixx works from the uploaded workbook, so there is nothing to install and nothing to configure. That suits a few situations well:
- You received the file from someone else and need to understand it quickly.
- The analysis spans several workbooks, such as monthly exports or files from different teams.
- You want a finished deliverable, such as a memo, a deck or a cleaned workbook, not just a formula in a cell.
- The question needs outside context, such as benchmarks, exchange rates or market data, researched and cited.
What Rixx can do with a workbook
Read every sheet. Rixx profiles each sheet: columns, types, row counts, blanks, merged headers and anything that looks off. Then it tells you what it found before it starts.
Combine and reshape. Stack monthly sheets, join lookup tables, unpivot wide layouts and build pivot-style summaries by any dimension.
Calculate. Growth, margins, variances, running totals, cohorts and forecasts, computed with pandas and DuckDB across every row.
Explain formulas. Ask what a model does and Rixx walks through the sheets, the inputs and the formulas that drive the outputs. It flags hard-coded numbers inside formulas, circular references and ranges that stop short.
Clean. Standardise dates, names, currencies and codes, split and merge columns, and remove duplicates, with a log of every change.
Chart and report. Native Excel charts in the returned workbook, plus a Word memo or PowerPoint deck if you ask.
Worked example: a sales workbook
You upload a workbook with twelve monthly sheets of orders and ask, "What drove the change in revenue this year?"
- Rixx reads all twelve sheets, notices that two months use a different column order and that one has a currency column the others lack.
- It aligns the sheets, converts currencies and combines them into one clean table.
- It breaks revenue down by region, product and customer type, and calculates each segment's contribution to the year-over-year change.
- It reports the three biggest drivers in plain English, with the numbers behind each.
- It returns a workbook with the combined data, a summary tab with working formulas and a chart pack, recalculated and checked before you see it.
Ask a follow-up, such as "Now split the North region by sales rep", and Rixx continues from the cleaned data.
Good questions to ask about a workbook
| Goal | Ask |
|---|---|
| Understand a file fast | "What is in this workbook and what does each sheet do?" |
| Find the drivers | "Which products explain most of the change in margin?" |
| Check a model | "Which formulas are hard-coded or look inconsistent?" |
| Compare plans to actuals | "Show variance by department and flag anything over 10%." |
| Forecast | "Project the next six months from this history and chart it with a range." |
| Add context | "How does our churn compare with published benchmarks for our segment?" |
Your workbook plus researched context
A workbook shows your numbers. Rixx can put them next to the outside numbers that give them meaning, researched from the live web and cited inline:
- Industry growth rates and margin benchmarks.
- Published competitor prices.
- Official statistics, such as population, inflation or exchange rates.
Every outside figure carries a source, and in a returned workbook the sources go on their own tab.
File types and sizes
- Excel workbooks with multiple sheets, and CSV exports.
- Up to 50 MB per file and 5 files per upload, with up to 100 documents in one chat.
- PDFs, Word and PowerPoint files can join the same analysis, for example a PDF report whose tables you want to compare with your workbook.
Need a brand-new spreadsheet built from research? Use the AI spreadsheet generator. Working with CSVs and broader data questions? See AI for data analysis. Building forecasts and runway? Try the AI financial model.
Frequently asked questions
What is the best AI to analyze Excel data?
Look for one that computes on every row, shows its method and returns a workbook you can check. Rixx analyses the uploaded workbook with Python, explains each step and returns a cleaned file with working formulas and native charts.
Do I need to install an Excel add-in?
No. Upload the workbook in a Rixx chat and ask your question. The results come back in chat and as files you can open in Excel or Google Sheets.
Can Rixx explain the formulas in my spreadsheet?
Yes. Ask what the model does and Rixx explains each sheet, the key inputs and how the formulas connect them, and points out formulas that look hard-coded or inconsistent.
Will Rixx change my original file?
Your original file stays as it was. Rixx returns a new workbook with the cleaned data, summary tabs and charts.
Can it handle workbooks with many sheets?
Yes. Rixx reads every sheet, aligns differing layouts and can combine them into one table for analysis.
Does the returned workbook use formulas or pasted values?
Summary tabs use working formulas wherever a figure is derived, so changing an input updates the result. Rixx recalculates and checks the workbook before handing it back.
Is it free to try?
Yes. Every plan, including Free, gets every feature. Free includes 50 credits a day plus 500 a month. A quick cited answer uses a few credits; a job that analyses a workbook and builds files uses more. See pricing.