Evaluate a coordinate
Provide any coordinates and receive an analogue match to known Tanzanian deposits, a similarity score, indicative geological grade context, licence and tenement status, and a clear go / no-go recommendation, with sources.
Assessing the ground before the capital, with discipline rather than assumption.
We have developed an in-house machine-learning capability that evaluates the gold prospectivity of land across Tanzania.
Rather than relying on assumption, the system converts large volumes of earth-observation and geoscience information into structured, machine-readable signals. A trained model weighs these signals together and produces a single, comparable prospectivity score for any parcel, turning scattered data into a clear, ranked picture of where gold potential is highest.
The model learns from the signatures of known gold occurrences and how much weight to give each kind of evidence, allowing it to stay consistent and repeatable from one assessment to the next across Tanzania's varied geology.
Evidence the model weighs
How our in-house engine turns earth-observation data into ranked, decision-ready gold targets.
Provide any coordinates and receive an analogue match to known Tanzanian deposits, a similarity score, indicative geological grade context, licence and tenement status, and a clear go / no-go recommendation, with sources.
Scan a target area and receive ranked open ground, prioritised by prospectivity and cross-checked against the Tanzania Mining Cadastre, so effort is focused on the highest-potential available parcels.







The Najd Aurum Exploration System scores any coordinates against known Tanzanian gold deposits and ranks open ground for clear go / no-go decisions. Site-specific outputs are shared with clients under appropriate agreements.
Earth-observation is a core strength. We turn multi-source satellite and geophysical data into actionable exploration insight, mapping structure, alteration, and prospectivity at scale.
Technology developed in-house by our own team, giving objective, repeatable scoring in place of subjective assessment.
Field data captured through structured digital forms, producing clean, consistent, auditable records from the ground up.
Exploration effort and budget focused on a small number of high-potential targets instead of being spread thinly.
Ground judged against the deposit models that genuinely apply to it, not a single global assumption.
Capital and fieldwork are directed to the highest-potential ground first.
Consistent, model-driven scoring in place of subjective judgement.
Applicable across Tanzania and adaptable to wider African and Asian settings.
Sharper targeting means a lighter footprint and more disciplined exploration.
Detailed methodology and results are shared directly under appropriate agreements.