Part one of a three-part series on TerraEye 2.0 and the changing economics of mineral exploration.
Every exploration geologist knows the ritual. A new tenement lands on the desk, and the first weeks disappear into data wrangling: creating accounts with satellite data providers, sending requests, waiting, pre-processing, then wrestling the results into whichever Geographic Information System the company licenses. Multiply that by every data source you want on the table, and the desktop study phase starts consuming the very budget it was meant to protect.
TerraEye, the exploration targeting platform built by Wrocław-based Remote Sensing Business Solutions, was designed to collapse that ritual into minutes. With the launch of TerraEye 2.0, the company is making a bolder claim: that a web browser can now host the entire first act of an exploration campaign in three dimensions, from raw satellite data to a defensible target, with the other pillars of exploration appearing on the same screen.
“The platform was built on the idea that we can use satellites to find deposits from space,” says Dr Wojciech Kuloza-Kaczan, TerraEye’s head of product. The company began in the field of mine monitoring before pivoting to where it saw the bigger prize. “We changed our focus to mineral exploration, seeing that as the biggest opportunity, and the biggest chance to build a genuinely innovative solution. We’ve focused on mineral exploration for three years now.”
What the satellites actually see
TerraEye’s core is spectral analysis. Satellites capture the light reflected off the Earth’s surface, and because every material reflects light differently, that reflection works like a fingerprint.
“If you have two materials, they reflect different bands of light,” Kuloza-Kaczan says. “We can capture the characteristics of both of them and classify: this one is this, and this one is that.”
Where earlier versions of the platform served up finished mineral maps, TerraEye 2.0 hands the instruments to the user. A geologist can now click any pixel on their tenement, see its reflected spectrum, and compare it against a library of minerals on the fly.
“You can take the pixel and save it to the database, and then look for spectrally similar places anywhere in the world,” Kuloza-Kaczan says. The feature, which TerraEye calls AnalogiLab, turns a known outcrop, or a neighbour’s discovery, into a search query. Sample the ground you know; hunt for its twin on the ground you don’t.
The third dimension
The most visible change in 2.0 is the move from a 2D map engine to a full 3D terrain model, with topographic data built in.
It sounds cosmetic. It isn’t. “When geologists analyse a project, they look for the structural controls, and sometimes that’s related to the topography,” Kuloza-Kaczan says. Users were already draping mineral results over flat maps and squinting at contour lines to guess how material had moved. Now the platform does the draping for them. “You can see whether an accumulation of minerals is coming from the peak in a region, and then you can analyse the flow of the material as well.”
In other words: a mineral anomaly on a flat map is a data point. The same anomaly running downslope from a ridge line is the beginning of a story about where to look next.
An assistant named Ignacy and a deliberate refusal
TerraEye 2.0 also ships with Ignacy, an AI agent embedded in the platform. Ignacy knows the platform, has been trained on the geology the team has provided, and can drive the interface itself.
“Ignacy can add layers to the view,” he says. “It can help you with hypothesis testing: add many layers at once, change them, and so on.”
What TerraEye deliberately will not do is draw the targets for you. Asked whether the platform will one day recommend ground automatically based on the spectral signatures of past discoveries, Kuloza-Kaczan is candid that the technology points that way, but the product does not.
“We keep the human in the loop in the interpretation phase,” he says. The platform generates the spectral similarity results and the mineral layers; the geologist reads the hotspots and draws the targets, guided by step-by-step recommendations drawn from the company’s consulting practice. “Geologists are really keen to know and to understand. They’re really sceptical if they have a magic box. They’d rather have some kind of explanation.”
It is a shrewd read of the audience. In an industry where an AI-generated target can be a red flag in a technical presentation, TerraEye is selling the instruments, not the oracle.
Beyond spectral: the other pillars arrive
The final plank of 2.0 is horizontal expansion. Mineral exploration traditionally rests on four pillars: remote sensing, geochemistry, geophysics, and structural analysis. Until now, TerraEye lived almost entirely on the first. The new release brings in the first iteration of geophysics tools, covering magnetometry and gravimetry, plus support for geochemical datasets.
“The idea is to help gather more evidence to the table,” Kuloza-Kaczan says. “Not only spectral, but other geophysical parameters that can be used in the interpretation phase.”
That matters because of how the company sees its place in the workflow. Remote sensing is the natural first pass over new ground; geophysics and geochemistry are what you commission once the satellite has told you where to stand. With 2.0, the results of that follow-up work can come back into the same project. Clients can send field data to TerraEye and have it loaded alongside the satellite layers, so the project grows in one place rather than fragmenting across consultants’ hard drives.
There is also a quieter differentiator buried in the architecture. “Many platforms and software just take the data from you, and then they do something with it,” Kuloza-Kaczan says. “In TerraEye, you create the area, and the data is actually gathered for you.”
His summary of the release doubles as the company’s pitch to a sceptical industry: “We went from 2D to 3D, allowing us to see things in a more realistic scenario regarding the whole geological setting. We provide more accurate tools for spectral targeting. We provide the documentation in-app, allowing users to talk with the data through our agent. And we’ve built the capacity for the other data sources that are the natural next steps of mineral exploration.”
The ambition, he says, is a platform approachable enough that a junior team can “jump really quickly into projects and create something from nothing.”
For explorers who have watched satellite imagery promise the world since the 1970s, the proof will be in the targets. But the shape of the offer is new: not a report, not a consultancy, but a workspace where the first and cheapest phase of exploration actually happens.
Next in this series: how explorers can narrow the search by combining datasets to decide where fieldwork is worth it.
