LOMExcel benchmarking is powered by MineGPT™ — a proprietary mining intelligence platform built from NI 43-101, SK-1300 and JORC technical disclosures across the global mining industry.
Instead of beginning each assignment with a manual search for a handful of comparable reports, LOMExcel starts from millions of already-structured technical facts spanning mining, processing, resources, reserves, costs, economics and project characteristics.
We then apply engineering judgement to identify the peers that actually matter, normalize the relevant evidence and turn it into a decision-ready benchmark.
Broader evidence. Better peer selection. Defensible technical context.
Traditional project benchmarking is constrained by the time available to find, read and manually structure comparable technical reports. That often means the analyst begins with a relatively small known peer group and searches outward from there.
LOMExcel works differently. Our benchmarking engagements are supported by MineGPT™, a proprietary mining intelligence platform in which technical information from public mining disclosures has already been ingested, structured and made queryable across projects and disciplines.
“Which five projects do we already know?”
“Across the available mining universe, which projects actually satisfy the technical characteristics that make them relevant peers?”
Millions of structured technical facts allow the potential peer universe to be screened across multiple dimensions before engineering judgement is applied to the final benchmark.
MineGPT expands the evidence universe. LOMExcel determines what the evidence means.
Examples describe the types of intelligence available; coverage of individual fields varies by project, depending on disclosure and data availability.
Access to millions of structured facts is valuable only if the right technical filters are applied. A copper project is not automatically comparable with another copper project. A 10 Mtpa plant is not automatically comparable with another 10 Mtpa plant.
Deposit geometry, grade, mine type, process route, recovery mechanism, infrastructure setting, jurisdiction, study maturity and many other factors can materially affect project performance. MineGPT allows LOMExcel to interrogate these characteristics across a much larger technical evidence base; LOMExcel then applies engineering judgement to identify the peer group that is defensible for the specific decision.
The finished benchmark may be delivered as an Excel workbook, charts and an executive technical summary. But the real capability sits behind that deliverable.
LOMExcel has already invested in building MineGPT: a proprietary mining intelligence platform that continuously converts large volumes of public technical disclosure into structured, interrogable mining intelligence. A benchmarking engagement therefore draws on an existing intelligence asset rather than requiring the underlying evidence base to be recreated manually for each client.
Clients receive the benefit of that infrastructure without needing to build or maintain it themselves.
MineGPT is LOMExcel's proprietary AI-powered mining intelligence platform for analysing and connecting public technical mining information.
No MineGPT subscription is required. The intelligence platform supports the engagement; LOMExcel delivers the analysis.
01“Is our project CAPEX high relative to genuinely comparable projects?”
02“Is the proposed plant throughput appropriate for this resource and mine configuration?”
03“How does the proposed metallurgical recovery compare with projects using similar processing routes?”
04“Which projects should we use as peers for this PEA, PFS or feasibility study?”
05“Are the mining and processing cost assumptions within a defensible peer range?”
06“How does this acquisition target compare with similar-stage projects?”
07“Which assumptions in this technical study appear to be outliers?”
08“How have comparable projects changed between earlier studies and feasibility-level development?”
09“What technical factors explain the cost difference between these projects?”
10“Where does this project sit against its development-stage peers?”
11“Which comparable projects have actually progressed beyond the study stage?”
12“What would management need to understand before presenting this project against peers?”
Have a specific project assumption or decision to test?
Request a Benchmarking ScopeA management-ready explanation of the peer universe, key findings, outliers, further investigation and decision-relevant observations.
Project-level metrics, peers, units, reported and normalized values where applicable, sources, assumptions, notes and quality flags.
Peer candidates, inclusion or exclusion logic and material comparability considerations.
A structured reference list identifying the public technical documents used.
As scoped: range, scatter, cost-intensity, throughput, recovery, bubble, ranking and normalized peer charts.
Interpretation of material differences rather than an unsupported automated conclusion.
Missing metrics, incompatible definitions, stale reporting, assumptions and areas requiring caution.
On selected packages, a live review of the benchmark, methodology and material conclusions.
Focused benchmarking for a defined technical or commercial question, drawing on MineGPT's existing structured mining intelligence base rather than beginning the research process from zero.
72-hour delivery may be available for tightly defined scopes and sufficient public-data availability.
Custom engagements are priced according to project universe, metric depth, source requirements and turnaround.
LOMExcel provides technical decision-support information and does not provide securities recommendations or investment advice.
MineGPT provides breadth. Engineering experience provides context. LOMExcel combines the two.
The platform can surface potential peers and technical evidence across an industry-scale information base. The consulting process then determines which comparisons are meaningful, what needs to be normalized, where the source definitions differ, which outliers deserve investigation and what those differences mean for the client's decision.
This is not a database export. It is an engineering-led benchmark built on top of a proprietary mining intelligence asset.
Key evidence stays connected to the underlying disclosure wherever practical.
Technology improves speed and breadth; engineering review, context and limitations remain part of the conclusion.
Engagements available under mutual NDA.
The service does not replace:
Yes. Client-nominated peers can be included with additional peers identified by LOMExcel. Material differences from the target project will be identified rather than ignored.
Yes. Peer-universe development is central to the service. Selection can consider technical, geographic, development-stage and scale factors according to the question.
Benchmarks draw on MineGPT's structured intelligence from NI 43-101, SK-1300 and JORC technical disclosures, with source reports reviewed where required. Client-provided information can also be incorporated under NDA.
Yes, where included in scope. Currencies and units can be converted to a common basis. Escalation to a common cost year is applied only where agreed and technically appropriate.
No. MineGPT provides an industry-scale structured evidence base, but peer selection, source review, comparability assessment, normalization and technical interpretation are performed by LOMExcel as part of the assignment.
No. The intelligence platform supports the engagement; LOMExcel delivers the analysis. No MineGPT subscription is required to commission a benchmark.
Yes. The detailed workbook is designed to remain usable by the client's own technical team.
Yes. PowerPoint or management-level summary outputs can be included in custom scopes.
Yes. Benchmarking can support asset screening and technical due diligence, but does not replace full transaction, legal, financial or technical due diligence.
Yes. Mutual NDAs are supported.
Subject to current capacity, tightly scoped rapid assignments can often begin immediately. Share the required timing so feasibility can be confirmed before engagement.
