plumb

AI that generates charts from CSV files.

AI That Generates Charts from CSV Files

Making a chart is easy. Making the right chart, with the right aggregation, the right type and honest axes, takes judgment. AI can help by matching the chart to your question: a line for trends over time, bars for comparing categories, a scatter for relationships.

Plumb is a privacy-first data platform. We think AI should do the tedious parts of analysis, like reading every row, spotting patterns and drafting charts, while you keep control of the questions and the conclusions. Every answer Plumb gives points back to the rows and columns it came from, so you can check the work instead of taking it on faith.

How Plumb helps: AI chart generation

Plumb generates charts from your CSV based on the question you ask. It picks a suitable chart type, aggregates correctly, labels axes and units, and lets you adjust anything. Charts export as images or can be added to a report.

How It Works

How Plumb turns a question into a chart.

  1. Upload your CSV and ask a question, such as 'monthly revenue by region'.
  2. Plumb identifies the measure (revenue), the dimension (region) and the time grain (month).
  3. It aggregates the data and picks a chart type: here, a line chart with one series per region.
  4. It labels axes, starts value axes at zero for bars, and notes any filtered or missing data.
  5. You tweak the chart type, colors or filters, then export or add it to a report.

Where This Helps

Weekly dashboards

Recreate the same charts on fresh data each week.

Presentations

Get clean, labelled charts ready for slides.

Exploration

Try several views of the same data quickly.

early access

Try Plumb in early access

Plumb is in early access. Join the waitlist on tryplumb.pro to get an invite. Early access covers Excel (.xlsx), CSV and JSON files, and we are adding more sources as people ask for them. Your files are processed privately and are never used to train models.

From CSV to chart in one question

Now you have a repeatable way to do it, by hand or with Plumb. Join the waitlist and tell us what your data looks like; we read every reply.

Join the waitlist