Bankability your credit committee can stand behind.
You finance the assets where mineral data is thinnest — studies scattered across national regulators, figures unsourced, host-country risk hard to pin. Afrimintel hands your credit and safeguards teams a decision-ready picture: every figure traced to the issuer's own filing, every gap named, with the host-country and E&S signals your mandate already runs on.
Taking an asset to credit committee? One named asset, every figure traced to the document it came from and dated. Where the record is silent it says so, so the gap is in your credit memo rather than found in committee.
Get it verified — $1,850 →Want the whole worked set instead? Pro is $149/month, free tier no signup, cancel any time. Multi-seat or institutional? Talk to us. Or see a credit screen.
Every deal, your team rebuilds the same picture from scratch.
A single African mining exposure means chasing a feasibility study through a national regulator, reconciling three versions of a reserve number, and reconstructing the security and disclosure context by hand — before your credit memo even starts. It's slow, it's uneven between analysts, and the number that reaches committee is only as defensible as whoever assembled it. Afrimintel does that layer once, in the open, and keeps it current.
A sourced picture, ready for committee.
Screen → memo → committee.
Your use is confidential. We don't name who relies on Afrimintel without written consent — the reference norms your institution works under are ours too. Institutional usage is arranged privately, per mandate.
Inputs for the memo. Never a rating.
A lender does not need Afrimintel's opinion of an asset; it needs the inputs its own model and its own committee will test — and the list of what the public record does not carry. These are the inputs. Nothing on this page or behind these links scores an asset, ranks an operator, or recommends a facility.
What the record does not carry, asset by asset.
Computed at build from financeability, safeguards and the two headline bankability figures for the DFI deep set; the page types no number. 13 assets, 256 cells, of which 34 are gaps to run and 30 are not-applicable. A cell here is a feed field that carries its own state (value, state, source); the count per asset is the breadth of that asset's schema, not a completeness score; rows are not comparable to each other, and the table is in register order, not ranked. not-disclosed: the public record was checked and carries no figure. not-yet-verified: nothing has been read for that cell yet; this is the diligence still to run. not-applicable: the dimension does not apply to this asset; it is not a gap and is shown apart.
| Asset | Cells | Sourced | Derived | Gaps to run (Absent, by reason) | Not applicable |
|---|---|---|---|---|---|
| Assafou | 18 | 7 | 3 | 4 (not-yet-verified 4) | 4 |
| Baomahun | 23 | 13 | 5 | 4 (not-disclosed 2, not-yet-verified 2) | 1 |
| Colluli | 19 | 14 | 2 | 3 (not-disclosed 3) | 0 |
| Doropo | 18 | 10 | 3 | 1 (not-yet-verified 1) | 4 |
| Ewoyaa | 18 | 13 | 2 | 2 (not-yet-verified 2) | 1 |
| Kabanga | 27 | 21 | 6 | 0 (—) | 0 |
| Kalana | 18 | 7 | 2 | 5 (not-yet-verified 5) | 4 |
| Kokoseb | 18 | 10 | 2 | 4 (not-yet-verified 4) | 2 |
| Koné | 18 | 12 | 2 | 2 (not-yet-verified 2) | 2 |
| Kurmuk | 18 | 10 | 2 | 2 (not-yet-verified 2) | 4 |
| Ngualla REE | 25 | 17 | 6 | 2 (not-disclosed 2) | 0 |
| Nyanzaga | 18 | 10 | 2 | 2 (not-yet-verified 2) | 4 |
| Twin Hills | 18 | 9 | 2 | 3 (not-yet-verified 3) | 4 |
A committee can live with a gap it has been shown. Composed at build v2.137.281 · dataset v2.137.116.
Put a defensible number in front of committee.
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