The tool works by using AI to write the chart’s code into a document, which researchers can then read and edit.

The chart is classified as a Displayr ‘object’, so filters, weights and rules apply to it, and it can be driven by a table in the document rather than a static copy of the data.

The chart stays linked to the data, meaning it can update when new data is added, with researchers specifying how it should handle new categories and missing values. It can be saved as a template for reuse.

Tim Bock, chief executive and co-founder of Displayr, said: “A reusable custom chart used to mean many months of developer time. Now it’s minutes to hours.

“The AI isn’t drawing the chart. It writes the code that draws it. Once that code exists, the chart runs on its own, with no AI and no tokens.”