Project evaluation is the work done before money moves.
Before an acquisition closes, before a JV is signed, before a board approves the next field season. We assess what the data actually supports and reports, without the commercial pressure that distorts the answer when the same firm is hoping to win the follow-on work.
Every project for sale has a story attached. Some of those stories are well supported by the underlying data. Most are partly supported, with assumptions filling the gaps that matter most.
A small number aren't supported at all once the dataset is opened up.
The job of evaluation is to separate the three.
We work through the geology, drilling, geochemistry, geophysics, and prior interpretation, and report what the evidence actually shows. Where the case being made is defensible, we say so.
Where it isn't, we say that too, with the reasoning written out so the client can defend the conclusion in a boardroom or a transaction negotiation.
We open the dataset and assess it on its own terms. Completeness, internal consistency, sampling protocols, QA/QC, assay reliability, chain of custody, and provenance. Any conclusion is only as defensible as the data underneath it, so this is where we start. Where data gaps are material, they are documented before interpretation begins.
We rebuild the geological model from primary observations rather than inheriting prior interpretation. Drillholes are re-logged where the core is available, sections are redrawn, and the model is tested against current understanding of the deposit type. Where the existing interpretation holds up under independent review, we say so. Where it doesn't, we explain what the data is actually showing.
The project is tested against the deposit type it is being marketed as. Alteration assemblages, structural setting, vectoring evidence, metal zonation, and scale precedents from documented analogue systems.
Critical uncertainties, missing datasets, and assumption-driven conclusions are identified and prioritised by their impact on the decision the client is trying to make. Technical risks are separated from commercial and jurisdictional risks. The output is a ranked register the client can act on, not an exhaustive list with no weighting.
Where the geology holds up, we define the realistic upside at the project's current stage. Scale precedents from documented analogues. Grade and tonnage envelopes consistent with the dataset. The work required to convert potential into a defensible resource position. This is the constructive half of the evaluation, written with the same discipline as the risk half.
The output is translated into one of four clear positions: advance, refine, reassess, or exit. Each comes with the reasoning that supports it, a SWOT analysis covering technical, commercial, and jurisdictional factors, and the defined next steps that follow. No list-of-options conclusions and no padding.
What You Receive
What You Receive
What You Receive
What You Receive
What You Receive
What You Receive
We don't just deliver reports. We deliver a defensible position the client can act on.
We map signal strength (does the data support the prospectivity case?) against data confidence (is the dataset reliable enough to draw a conclusion from?). Four outcomes:
Advance
Strong geological indicators supported by reliable data. Recommended for next-stage exploration, transaction commitment, or investment review.
Refine
Real indicators, but the dataset isn't yet defensible. Targeted work to firm up confidence before significant capital is committed.
Exit
The dataset is reliable. It doesn't support the case being made. A disciplined stop protects time and capital, and frees resources for higher-value targets.
Reassess
Insufficient basis to decide either way. A broader review of the search space is the right next step, not more spend on the current target.
