Just a spreadsheet. Until you add a column.
This is the actual grid: rows are documents, columns are properties you define, everything one click deep.
Hours of reading. One clear picture.
Wherever documents pile up, the pattern is the same: Quanty does the reading, you present the conclusion.
Explore all industries →The column is the interface.
A column is a prompt in plain language: pick an output type, write the question, test on one row, run on every document. A column can also pull live data from the internet, with sources.
Click a cell. See the proof.
Every AI-filled cell opens the exact quote, its page and a confidence score. Approve, fix or rerun, one click each.
Type a NIP. Get registry proof.
Soon every counterparty is checked against live state registries, not just the document. Try it now: one NIP, three registries and an official evidence ID you keep.
Registries prove them. The open web completes them.
Verification is just the start. Describe the companies you need and Quanty fills the sheet from the open web: size, locations, people, news, funding. A full profile for every counterparty, not just a VAT status.
In Quanty this runs as a column: every invoice and every counterparty verified automatically, every result logged with proof.
Join the waitlistAgents with one job: knowing yours.
Build agents that specialize. Forecasts, margins, invoices, contracts. Trained on your company, working around the clock. Click one.
Ask anything.
It has read everything.
Plain questions. Cited answers. And the next question worth asking.
Good morning, Dawid.
Describe a job, or pick up where you left off.
Say it. The sheet does it.
In the app, the chat slides in over any sheet. Ask, and columns appear, fill in, flag themselves and total up in the formula row. Ask for data your files cannot have, and a column fills itself from the live web, sources included.
Ask for the world. It appears.
Live data from the internet, straight into your spreadsheet or chat.
Deep research can also query premium databases alongside the live web: company registries, traffic analytics, financial fundamentals. One run, one cited answer.
More sources on request: Crunchbase, Harmonic, ZoomInfo and others.
The longer it runs, the sharper it gets.
Every document feeds one growing model of your company, plugged into the world outside. Each month, sharper answers.
One library. Every document, indexed.
Everything you drop in or email lands here: read by OCR and vector-indexed, ready for every sheet and chat.
Forward an email. That's the whole setup.
Rules read like sentences: mail arrives, decide what it is, act. Anything uncertain waits for a human. Nothing writes on its own.
Email and Google Sheets today. Your whole stack next.
The beta starts with inbound email and Google Sheets: every sheet gets its own address, and any Google spreadsheet can sync rows in or out. More connectors are on the roadmap.
Google Sheetsin beta
Gmailcoming soon
Outlookcoming soon
Microsoft Teamscoming soon
Slackcoming soon
Google Drivecoming soonEvery source in. Every deliverable out.
Point Quanty at the data room and it reads everything at once. Out come models, decks and alerts in the systems you already use.
Ask for a forecast. Two very different answers.
Same numbers, same question, asked twice. On the left, a plain chatbot. On the right, the same model inside Quanty.
The full story: why LLMs need this →AI can already read your paperwork.
Quanty makes the numbers defensible.
Asking a chatbot for a forecast fails in three predictable ways. Quanty keeps the reading ability and engineers away the rest.
Same model. Different discipline.
Be there before everyone else.
Join the waitlist and get first access as seats open. Whatever we charge later, beta members always keep the better offer.
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