This page is designed to help you find out whether Quiriz is good and if it is the right choice for you.
Quiriz is an AI data analyst for your spreadsheets. Upload a file — Excel, CSV, TXT, or a PDF with data tables — ask a question in plain English, and get a clear, sourced answer in seconds. No formulas, no pivot tables, no SQL, and no waiting on an analyst.
It handles the messy reality of real spreadsheets. Quiriz uses AI to find your true headers and skip the stray fragments that shouldn't be imported, so files that would trip up an ordinary tool still work. Ask anything your data can answer — totals, trends, comparisons, breakdowns, outliers — and Quiriz computes it against your actual rows and highlights the numbers that matter.
Quiriz is built for teams, not just individuals. Any answer can become a shareable report — a frozen snapshot everyone reads from, so there's no arguing over whose spreadsheet is right. Group work into projects, discuss saved questions in threaded comments, and control who sees what at the dataset and project level. Connect a Google Drive or OneDrive folder and your data refreshes on a schedule, or update it just by emailing the new file in.
Quiriz also meets your team where they already work: ask questions right inside Excel with the =QUIRIZ.ASK add-in, or @mention Quiriz in a Slack channel scoped to a specific project. And it stays honest — Quiriz answers only from your data and tells you plainly when something can't be answered, instead of guessing. Files are processed on enterprise-grade US infrastructure, and your original uploads are never permanently stored.
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Excel Integration
Upload and update data from Excel; Answers questions, analyzes and produce reports right in the cell
Google Sheets Integration
Upload and update data from Sheets; Answers questions, analyzes and produce reports right in the cell
Slack integration
Upload and update data from Slack channels; Answers questions right in the channel
Upload your own
Your data in Excel, csv, pdf or image (jpg, png) is uploaded, analyzed so you can ask questions and analyze in natural language
Reporting and Analytics
Complex reports can be generated using natural language and executed based on your schedule
Data Accuracy
Even a messy Excel data can be cleaned and uploaded with AI's help
Sharing
Frequently asked questions and analysis can be published so your team can self-serve your analysis with the latest data automatically
Updated Data
Updating uploaded data is easy and automated using Google Drive, OneDrive and even by simply emailing the file
Quiriz answers questions about your spreadsheets in plain English, but it's built for teams instead of one person. Any answer can become a shareable report — a frozen snapshot everyone works from — so there's no arguing over whose version of the numbers is right. It reads messy real-world files (it finds the true headers and skips the junk), answers only from your actual data instead of guessing, and lets an admin define what your metrics mean once so the same question always returns the same number. And it meets your team where they already work — inside Excel, Google Sheets, and Slack — not just as one more web app to log into.
Most AI data tools are single-player chatbots. Quiriz is team-first: shared datasets, shareable reports, threaded discussion, and access control, so a whole team works from the same current numbers. It's also grounded — it answers only from your data and tells you plainly when something can't be answered, rather than inventing a figure — and with Company Context you define your metrics once so answers stay consistent for everyone. Finally, it works right inside Excel (=QUIRIZ.ASK) and Slack, not only in a separate app. If you want reproducible answers your team can trust, that's the difference.
Small and midsize business owners, operators, and teams — in sales, operations, finance, and marketing — who live in spreadsheets and want answers from their data without learning formulas, building pivot tables, or waiting on an analyst. It's for people who have the data already and just need the answer, not for enterprise data-science teams.
It started as a side learning project to see whether an LLM could answer questions about Excel data — at a time when they couldn't do it well. The first version ran on n8n, with complex workflows to ingest files, generate metadata, and answer against the converted data. After using it for real reporting and seeing how much time it saved, the n8n layer was ripped out entirely, the tool was rebuilt around that core, and it went live. It's still early, and the open question being tested is whether people will pay to bring their own spreadsheets and query them this way.
A React/TypeScript front end, Node.js and Python services on the back end, PostgreSQL with vector search for finding relevant data, and large language models for understanding questions and data. It's delivered as a web app plus a Microsoft Excel add-in (Office.js), a Google Sheets add-on (Apps Script), and a Slack app, running on cloud infrastructure in the US.
We have collected here some useful links to help you find out if Quiriz is good.
Check the traffic stats of Quiriz on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Quiriz on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Quiriz's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Quiriz on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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Is Quiriz good? This is an informative page that will help you find out. Moreover, you can review and discuss Quiriz here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
