AI for large CSV files.
Sifar Data is an AI data analyst for files that are too big for Excel. Open a CSV with millions of rows, ask questions in plain English, and get answers and charts in seconds. You point it at the problem. It does the tedious part.
01 / SPEED
Query a million rows. Locally. Instantly.
02 / PRIVACY
Your file is parsed in your browser. We only see column names.
03 / SCALE
Up to 5 GB files, limited only by your laptop's RAM.
The file is too big. So the tools you have either break or make you wait.
Spreadsheets were built for hundreds of rows, not millions. General AI assistants were built to read your file on their servers, which means a slow upload before any work begins, and a ceiling on how big that file can be. Sifar Data takes a different route: the file stays on your computer, and the analysis happens right there. That one decision is why it stays fast no matter how large the data gets.
WHY NOT EXCEL
Excel is great until the file gets big.
Most people reach for a spreadsheet first, and for small files that is the right call. The trouble starts when the export runs to millions of rows. Here is where it falls down, and what happens instead.
Excel stops at 1,048,576 rows
Open a 3-million-row export and Excel silently keeps the first million and throws away the rest. You do not get a warning. You get a wrong answer.
WITH SIFAR DATA Sifar Data reads every row. A 10-million-row file is a normal Tuesday.
Big files freeze or crash the app
Even under the row limit, a wide CSV with lots of columns can lock up Excel for minutes or take the whole program down with it.
WITH SIFAR DATA Files are read in chunks, so memory use stays flat and the page stays responsive.
One mistake means starting over
A pivot table built by hand is a dead end. Change the question and you rebuild the whole thing from scratch.
WITH SIFAR DATA Ask a new question in plain English. The answer, the chart, and the SQL update in seconds.
WHY NOT A GENERAL AI TOOL
You already tried pasting it into a chatbot.
General assistants are good at a lot of things. Crunching a multi-gigabyte data file is not one of them, and the reasons are practical, not theoretical.
Upload caps block real datasets
General assistants cap uploads well below what a real export weighs. A few hundred megabytes of CSV will not go through, so the analysis never starts.
Uploading is slow, every single time
When a file does fit, you wait for it to travel to a server before anything happens. Do that ten times a day and the waiting is the job.
Your raw data leaves your machine
To analyze a file, those tools need the whole file on their servers. For anything with customer or financial data, that is a hard no in most companies.
Sifar Data skips all three problems by never moving your file. Nothing uploads, so there is nothing to wait for and no size cap to bump into. The model only ever sees the column names, the data types, and a handful of sample rows so it can write the right query. Your actual data stays on your laptop.
WHAT PEOPLE USE IT FOR
A second pair of hands for data work.
You bring the questions and the judgment. Sifar Data handles the slow, fiddly part of getting to an answer.
Clean up a messy export
Deduplicate, fix dates, split columns, and filter out the junk rows before they reach a report.
Answer a question fast
"Which five customers drove the most refunds last quarter?" Typed plainly, answered in seconds.
Combine several files
Join orders to customers to regions across separate CSVs without writing a single VLOOKUP.
See the shape of it
Turn a column of numbers into a chart you can actually read, then drop it into a deck.
How it works
Four steps, and the only one that takes any effort is deciding what to ask.
01
Drop your file
A CSV file is parsed in your browser. No upload happens.
02
Ask a question
Type plainly. "Which products had the biggest drop in Q3?"
03
The AI writes the query
Only column names, types, and a few sample rows go to the model. It writes the SQL.
04
Your laptop runs it
The query executes locally. You see the answer, the chart, and the SQL behind it.
ON PRIVACY
We cannot leak a file we never receive.
Because the work happens in your browser, your rows never touch our servers. We see the structure of your file, the column names and types, and that is the whole of it. Disconnect any file at any time from the file manager. The trade is small and worth knowing about: since we keep no copy, a file you opened last week may need re-connecting from your computer when you return.
Open a file that used to crash your spreadsheet.
Chat with CSV files up to 10 million rows. Fast, private, and run entirely on your own machine.
Questions, answered plainly.
Yes, that is the main reason Sifar Data exists. Excel stops at 1,048,576 rows and will quietly drop anything past that, and even smaller files can freeze or crash it when there are many columns. Sifar Data opens CSV files with millions of rows and lets you filter, summarize, and chart them without the spreadsheet choking. Because the file is read directly on your computer, there is no upload and no waiting.
General AI assistants need your whole file uploaded to their servers before they can do anything, and they cap how large that file can be — usually far below the size of a real data export. That means a slow upload every time, and for big files it often will not work at all. Sifar Data keeps the file on your machine and runs the analysis locally, so there is no upload, no size ceiling you will realistically hit, and your raw data never leaves your laptop. Only the column names and a few sample rows are ever sent to the AI so it can write the query.
Yes. Your file is processed entirely on your computer. When you open a file, Sifar Data looks at the column names, their data types, and a small sample of rows — that's all that's ever sent to our AI. The AI returns a query that runs on your machine against your full file. You can disconnect any file from the app at any time through the file manager. Note: because we don't store a copy of your file, if you come back after a few days, you may need to re-connect the file from your computer.
It depends on your computer's RAM, but most modern laptops handle CSV files up to 5 GB comfortably. Files are streamed and parsed in chunks, so memory use stays predictable. A 10-million-row file is well within range on a typical machine.
No. You ask questions in plain English, like "which region grew the most last quarter?" or "show me orders over 500 dollars from repeat customers," and Sifar Data writes and runs the query for you. It also shows you the SQL it used, so if you are curious or want to learn, it is right there — but you never have to write it yourself.
Yes. You can open multiple files and ask questions that span them — for example joining an orders file to a customers file to a regions file — without setting up VLOOKUPs or a database. Sifar Data handles the join and gives you back a single answer.
Yes. When a question is better answered with a picture, Sifar Data builds a chart from the result — bar charts, lines, distributions — that you can read at a glance and drop into a report or slide deck.
Comma Separated Values file (or CSV with .csv extension) files.
That is exactly the case Sifar Data is built for. Since your file never gets uploaded, your customer records, financials, and other sensitive rows stay on your own machine the entire time. The AI only ever sees the structure of your file — column names and types — plus a small sample needed to write a correct query, never the full contents.