aiofthe.day

Pull scattered drilling data into one platform and build sales and customer tools

CursorVendor case studyAug 2026

Australian mining technology firm IMDEX used Cursor to merge separate data products into one platform for drillers and geologists, and to build a customer insight app and a sales training tool in weeks.

What they did

The software team used Cursor to build a shared data layer that syncs core sample data to the cloud and links field devices with analytics. Drillers get live comparison of drilling data against the planned hole path, and geologists get more reliable data for their interpretation. The company also built a customer insight app in under 30 days and a sales training tool in just under two weeks.

What happened

The company says the data platform took 8 months instead of an estimated 2 to 3 years, and that both smaller tools would earlier have needed outside vendors or quarters of internal work.

Keep in mind

Published by Cursor's maker, and the before figures are estimates, not a side by side comparison. The work was done by professional engineers, and the story says little about the two business tools or whether people use them.

Try it with your agent

We keep <type of data> in <list of systems or files>. Read a sample from each, describe how the fields match up, and propose a single table design that combines them, with notes on conflicts and missing values. Then build a small internal page where <team> can filter and compare the combined data. Work on copies only and do not write to the original systems.

Replace the <angle brackets> with your own details.