Ten capability lines, grouped by what the systems do: reason, remember, observe, hold.
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Most exploration licences in the region sit on more geophysical and satellite coverage than anybody has looked at carefully. Fusing what exists is usually cheaper than acquiring more.
An exploration manager has a licence, a budget and a question: where should the next drill programme go. The usual answer is to acquire more data. Often there is a cheaper step first.
Regional airborne magnetic and radiometric surveys, government geological mapping, historical geochemical sampling, and two decades of free optical and radar satellite imagery. Individually none of it resolves a target. Together, processed consistently and co-registered properly, it narrows the ground considerably.
The work is not simply overlaying layers. It is deciding what each dataset is evidence for, at what scale, with what reliability, and combining them in a way that reflects that. A weak magnetic response coinciding with an alteration signature in the imagery and an elevated pathfinder element in old stream sediment is a stronger case than any one of the three.
The deliverable is not a map of anomalies. It is a ranked list of targets, each with the evidence behind it, a stated confidence, and the single piece of information that would most change its position. That last column is what makes the output actionable: it tells the manager what the next, cheapest step is for each target rather than implying the analysis is finished.
Sometimes it is, and the fusion work tells you where to fly rather than flying everything. A targeted survey over three ranked areas costs a fraction of blanket coverage and answers a specific question.
An imported crop classification model reported 94 per cent accuracy and was wrong about a third of the fields we checked. The gap was not the model. It was the ground truth.
Institutions ask for a dashboard and discover they have bought a question. Here is the order of work that actually produces a number somebody is willing to sign.
Digitization projects fail at indexing, not at scanning. A searchable archive requires decisions about classification that only the institution can make.
Not the technology you think you need. The decision, who makes it, and on what evidence. We will tell you plainly whether there is a system in it.
