Data.
Talk to your spreadsheets.
Drop a file, ask a question, get a chart. No formulas required.
Talk to your spreadsheets. Get back something you can verify.
Data is being built so the answer to a tabular question is never just a number — it's the number, the pipeline that produced it, and the rows underneath. Drop a file, ask a question, follow the lineage back to the source.
CSV, Parquet, Excel — drop it in and Data infers the schema. Ask a question in plain English; get a column, a chart or a follow-up dataset back. No formulas required.
Drop nulls. Normalise dates. Aggregate by region. Each step is a node you can rename, reorder or pin — and the change log writes itself.
Every dataset remembers where it came from. Trace any number on a chart back to the rows that produced it, and the source file before that.
“Revenue by region, last six months, stacked.” You get a chart. Edit the sentence, the chart updates. Pin it to a dashboard or paste it into a Page.
Wired into Research and Pages. A chart you build in Data can be embedded in an askFinz Pages document and stay live — change the upstream dataset, the chart and the surrounding citation refresh together.
A pipeline, animated.
A scripted run — a three-step pipeline lands, twelve rows change, the lineage chain lights up. The live surface will land at data.askfinz.ai.
Where Data runs.
One account, many surfaces. Data is reachable from the surfaces lit below. Sign in once, pick up where you left off — your threads, files and history follow you across every surface.
Anyone who has a spreadsheet full of numbers but no time to build formulas will be able to drop a file, ask a plain-English question and get a chart or a summary back. Data is on the roadmap and will make analysis accessible without writing a single formula.
Read the guide: Talk to your spreadsheets with AISee also — other vertical workspaces.
Data shares one login, one memory and one model layer with every other workspace under askfinz.ai.
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