Integrating subsurface intelligence, simulation, and field sensing systems to deliver data faster, with lower cost, risk, and uncertainty
Every target ranked by posterior probability with a confidence band, ordered against your drilling budget.
For each target, the survey, sample or hole that removes the most uncertainty for the least spend, with the platform, payload and route to collect it.
Targets carried through the loop until they clear a defined confidence threshold, then handed over with a recommended drill decision.
Every recommendation traces back to its source data, the model's reasoning, and the field measurements that moved it, ready for independent review.
Software · NOUS
NOUS fuses every data source into one Bayesian model: terrain, satellite spectra, fault architecture, kriged assays, and any data a client already has. Every 30 m cell carries a rank and an uncertainty. Then it prices the next step, naming the survey, sample or hole that removes the most uncertainty for the least spend. NOUS suggests survey type, platform payload, sensor loadout, and path planning for the scanning routes.
Hardware · Field robotics
Aerial and ground robotics collect exactly what the model asked for. Every mission is flown in simulation over the real terrain first, then run in the field. Data is checked and structured, then goes straight back into NOUS. NOUS assimilates the data and recomputes the posterior belief, and the loop restarts with the updated belief.
Rank the ground you already hold before the drilling budget goes in, then run the loop on the targets worth measuring.
Diligence a licence from its existing data: a ranked target set with confidence bands and an audit trail you can underwrite against.
Screen national-scale ground from public geoscience data, and focus field programmes where the model is least certain.