Analysts

The fetching, the cleaning, and the deck — done before you open it.

A persistent workspace where your data lives between sessions, an agent that does the tedious 80%, and recurring reports that build themselves on a schedule. It profiles a file before analysing it, so the caveats arrive with the numbers rather than after them.

Where the day goes

01

The analysis is the small part

Twenty percent thinking, eighty percent fetching, cleaning, reshaping, and rebuilding the same deck you built last month.

02

Assistants can’t touch your data

A chat window can talk about the dataset. It can’t open the file, run the transformation, or hand back a spreadsheet.

03

Nothing persists

Upload the file, get an answer, lose the context. Tomorrow you upload it again, and the working files are gone.

04

The monthly report is always manual

Same sources, same shape, same charts — and someone rebuilds it by hand every cycle.

What a machine changes

01

A workspace that persists — and stays auditable

Your data files live on your machine between sessions, worked on in place. The files, the steps and the full transcript stay inspectable, so you can always check how a number was reached.

02

It checks the data before it trusts it

Every file gets profiled first: null rates, duplicate rows, a header row that isn’t the first row, currency columns hiding as text. Those are where wrong answers come from, and you hear about them before the analysis, not after.

03

Requirements and specs, structured

Requirements documents, user stories with real acceptance criteria, decision records — with the sections people forget already there, and open questions written down rather than guessed past.

04

Spreadsheets and documents as files

Excel, Word, PowerPoint, and PDF generated for real — previewable in the browser and ready to send.

05

Charts and tables in the conversation

The agent answers with rendered charts and sortable tables when that’s the right shape for the answer, instead of describing numbers in prose.

06

The monthly one runs itself

A dataset-to-deck pipeline ships ready to schedule — profile, analyse, chart, assemble. Define it once and the report is waiting when the month turns.

Before you sign up

Is my data shared with anyone?
No. Your machine is yours alone — never shared, never reset — and provider keys stay server-side, never shipped to the browser.
Can I check the work?
Yes. Every file it produced, every step it took, and the whole session transcript remain available for review.
Do I need to write code?
No. Ask in plain language. The agent writes and runs whatever it needs on its own machine — and you can read it if you want to.
What size of data can it handle?
Files live on your machine’s own disk rather than being uploaded into a chat, so you’re working with ordinary files on an ordinary computer.