Articles
An ordinary question. An unexpected way to explore the answer.
A discussion about published geological sections got us curious: what would these figures look like together, in three dimensions, alongside the public drilling?
Fifteen minutes later, we had a working 3D explorer. Canetoad had already prepared all the data, so we could spend that time building around the question.
Figures from 19 Horseshoe Lights announcements sit in a shared 3D scene with drilling, copper assays and surface samples. Choose an announcement, face a section, or fade a figure to see what sits behind it.
We built it using an AI assistant connected to Canetoad’s data through MCP. It’s a small experiment outside our core product suite, showing what becomes possible when people can work creatively with the information already available.
Give a geologist access to connected exploration data and they bring questions that a software team may never have thought to build a feature for. AI helps turn those questions into working tools: a comparison, a visualisation, a new way to inspect the evidence.
That’s part of the value of Canetoad. Your team’s knowledge becomes more useful when they can spend less effort assembling information and more effort doing something with it.
This time, it meant standing published figures up in 3D. The next question belongs to your team.
Have a spin.