Verified geospatial detection
There are far more abandoned mine hazards, uncharted wrecks, and forgotten earthworks out there than the official records show. The evidence is already sitting in public sensor data. We built a system that finds it, checks its own work, and gives your field crews a short list of places actually worth visiting.
What we build
We use public LiDAR to fill out mine-hazard inventories: openings, highwalls, spoil piles, subsidence, and disturbed land that was never recorded anywhere. Evaluated across four states and four coal terrains, including counties the model never trained on.
Automatic target recognition for side-scan and forward-looking sonar. We detect wrecks and obstructions in survey data and verify each one, and we're working toward running it in real time on board.
Prospectivity modeling for critical-mineral exploration. We validate it with blind tests against known deposits — four geophysical belts so far.
What you get
We survey entire regions from public data, including terrain hidden under forest and ground no field crew could reasonably walk.
Every candidate gets independently reviewed before you see it, so most of the noise never reaches your desk.
Each candidate comes with its imagery and a short explanation of why we think it's real. Field crews use it to plan visits; auditors like it too.
Every number we publish comes from ground our models had never seen, and we publish our limits along with our results. When something doesn't work, we say so. We have dropped whole product ideas because our own testing showed the signal wasn't there. Our standards →
Pick an area you know well. We'll scan it at no cost, and you can grade what we find against what you already know is there.
Start a conversation